Putting AI innovation on the map since 2018

Nick Jetten

CEO / Co-Founder

Expertise includes among others:

• During previous employments worked hands-on on several data science and data engineering projects for corporates in and outside of the Netherlands (forecasting, image recognition, dynamic pricing, marketing intelligence).
•  Involved as strategic AI advisor and challenger of many Enjins customers in the Netherlands and Berlin. Mostly within our focus areas: Climate Tech, Marketplaces and Mobility.
• Co-founder/CEO of Enjins (founded 2018)
• Co-founder of responsible AI platform Deeploy (founded 2020)

Background: 10+ years working experience as data scientist, Machine Learning Engineer, product owner, strategic advisor, account/project manager and tech founder. Previous roles at VODW, KLM and Isobar. BSc and MSc Econometrics @ RuG.

Why Enjins? “In 2018, I co-founded Enjins together with Maarten and Bastiaan. At that time, still some years before the AI hype we are currently experiencing, data science was a proof-of-concept game. People and businesses cared about accuracy, but not so much about going live with their models in a real-world setting. We felt there was a need for a service company to fill this gap. By combining a strong engineering mindset with a data & AI skillset, we began to grow the team. By now, we have helped over 100 innovative startups, scale-ups, and challenges to productionize AI at scale. We launched a new hub in Berlin, a product spin-off called Deeploy, and we are ready for our next strategic step: leveraging our established footprint to become the number one AI Engineering brand in industries that we believe matter: Greentech, mobility, and marketplaces.”

Anouk Meerman

COO

Expertise includes among others:

• Scaled a data science consultancy company from scratch to 40 FTE of data scientist and engineers.
• Bridging complex business challenges of growing companies with practical AI-solutions, with a focus on the operational, talent and financial side of it all.
• Teaching business audience and managers in data & AI concepts.

Background: 10+ years of experience in supporting public and private organisations with their scaling or digital transformation challenges. Specialised in recognising the impact, opportunities, and consequences of data & AI solutions. Translating business value to data driven solutions, enhancing AI potential. MA in New Media & Digital Culture.

Why Enjins? “Proud to be part of our growing team of passionate and skilled machine learning engineers who solve business challenges with impactful ML engines. Seeing how we support our clients throughout the entire data and AI process, from strategy to adoption, fills me with enthusiasm. My motivation to ‘do good with data’ is especially evident in solving ClimateTech challenges.”

Bart Maassen

CCO

Expertise includes among others:

• ClimateTech: Guiding AI towards net zero. Bart collaborates with founders and tech leads to enhance AI’s value in climate tech, from the circular economy to the energy sector.
• Sparring Partner for MT: AI is now essential for every industry. Bart works with founders and directors to integrate AI and data strategically, identifying opportunities, threats, and assessing current AI maturity.Due Diligence for Investors: AI is in every pitch deck. Bart evaluates current maturity and necessary investments to achieve promised growth and competitive advantage.
• Realizing AI transformation: Our goal is to develop data and AI as long-term capabilities, requiring careful planning at use case, tech, & organization levels.

Background: 8+ years of working experience within AI, working with over 30+ companies: from building ML models to leading AI transformations within innovative companies. Set up the data science team from scratch at Dutch e-bike brand. Teaching business audience, managers, investors, and ML engineers on data & AI concepts. Background in econometrics.

Why Enjins? “Being at the forefront of innovation is what drives me at Enjins. Together with our clients we want to address the most critical challenges of our time. I believe that AI has an immense promise and it is up to us – the industry, the makers, and therefore also Enjins – to build AI that results in meaningful impact. Looking forward to collaborating on this exciting innovation with founders, investors, and eager AI talent” 

Luuk Schagen

Lead ML Engineer

Expertise includes among others:

• Cloud Engineering and Data Platform Architecture: Designed and implemented Cloud Data Platform architectures at multiple clients, including a large Dutch comparison website with over a million users.
• Computer Vision in Manufacturing: Designed and implemented real-time error detection system in fabric production. This included the set-up of an on-prem Kubernetes cluster and message-oriented architecture for real-time error detection and analysis.
• Marketplaces & Recommenders: Built recommendation system including MLOps infrastructure for media company operating in over 130 markets and with over 10 million users

Background: 5+ years working experience as ML Engineer in Logistics, Manufacturing and E-commerce, with a focus on architecture and MLOps. MSc in Data Science and Entrepreneurship from Eindhoven University of Technology and Tilburg University.

Why Enjins? “At Enjins, we really internalize what it takes to build complete Machine Learning solutions. This obviously goes beyond just training a good model. When discussing Machine Learning challenges with my colleagues, we can get equally excited by a nicely designed MLOps pipeline or Data Platform as we are about state-of-the-art Deep Learning papers. In the end, the best model is the one you are actually using in production.” 

Loek Gerrits

AI Strategy Lead

Expertise includes among others:

• AI solutions implementation at Marketplaces & Retail: Built forecasting and recommender models in marketplace scale-ups and corporate digital departments.
• Project Management: Led AI consulting and hands-on projects for various scale-ups and large corporations, ensuring successful production implementation.
• AI Strategy for Marketplaces and Climate Tech: Developed Data & AI strategies for various scale-ups, addressing challenges such as compliance and managing large data sets.
• Responsible for the Marketplace strategy at the Enjins Utrecht hub.

Background: 5+ years of AI consulting experience in sports, marketplaces and retail. BSc and MSc Econometrics at Amsterdam.

Why Enjins? “Being part of an entrepreneurial company excites me daily. The team’s ambition and drive to push boundaries, while also celebrating accomplishments, is inspiring. I personally thrive in the strategic phase of leveraging data and AI to benefit companies, constantly challenging my commercial and technical skills.” 

Rik Steeghs

ML Engineer

Expertise includes among others:

• Machine learning operations: Designed and developed complex MLOps systems including application deployment strategies, experiment trackers, model monitoring, packaging, versioning, and testing.
• Designing and building data platforms: Designed and developed cloud infrastructure via infrastructure as code and worked on multiple (big) data platforms serving multiple purposes: as fundament for machine learning use cases, as platform to combine data silo’s and as analytical backend serving transactional systems.
• Modeling: Built and deployed time series models for use cases like day ahead energy forecasting, order delivery forecasting, and product forecasting.

Background: 3+ years of experience working as machine learning engineer in online marketplaces and climate tech. MSc Operations Management (data intensive industries) from the Eindhoven University of Technology.

Why Enjins? “Making impact of machine learning solutions is not only about building a decent machine learning model. To make a real difference, an organisation needs to implement (and embrace) a complete solution. This ranges from application deployment strategies, data engineering, cloud infrastructure and data science to the way people are using and interpreting the results and interacting with the model. I enjoy working in teams and solving engineering heavy puzzles. Enjins provides the perfect balance between applying consultancy and engineering skills.” 

Sinie van der Ben

ML Engineer

Expertise includes among others:

• Cloud and Data Platform Engineering: contributed to the evaluation, development and maintenance of data systems, following MLOps principles
• NLP and LLMs in Health Tech: research on the classification of the level of processing of food items based on ingredient information through a combination of NLP and LLMs
• Generative AI and Computer Vision: contribution to research of using GANs for cancer cell segmentation through fluorescent markers and multimodal processing of deepfake videos, by combining audio and visual information

Background: Msc and Bsc Artificial Intelligence.

Why Enjins? “When I graduated university, I knew I wanted to have an engineering job but I was not sure which direction to go into. Enjins offers me the possibilities to explore different fields that all have their own technical challenges. Additionally, this environment allows me to develop my technical skills further in a way to bridge the gap between academia and business.”

Floris Heijmans

Senior ML Engineer

Expertise includes among others:

• Insurance Comparison Platform & Data platforms: Lead of the team that built the data platform for an insurance comparison platform that processes the huge amounts of data that millions of yearly users produce, to facilitate analysis, reporting and AI solutions.
• Library and information services & Recommenders: Lead of the team that built a complete analytics environment with a recommendation system that combines AI and mathematical optimization to provide weekly book recommendations.
• Marketplaces & MLOps: Assessed key bottlenecks at a peer-to-peer car-sharing platform to redesign its data platform and MLOps set-up. Implemented design leading to efficiency gains, cost reductions, and most importantly a sound foundation for future data and AI use cases.

Background: 3+ years working experience as Machine Learning Engineer mainly in fields of Finance, Online platforms and Marketplaces. MSc in Computer Science from Utrecht University.

Why Enjins? “Coming from a MSc track that focussed heavily on the theoretical side of Data & AI, I was looking for an opportunity to put this knowledge to practice. After encountering Enjins, the unique flavour of project-based work that we do immediately spoke to me. In contrast to other project-based companies, we do both consultancy and implementation, we always work together in teams of multiple Enjins engineers, and we work with clients that like to iterate fast and move quickly towards production. Combining these points, Enjins offers an environment where my fellow team members and I could grow incredibly fast.”

Bastiaan van de Rakt

Founder and Advisor

Expertise includes among others:

• 25+ years entrepreneurial experience in Machine Learning / data science as CEO and CTO
• 10+ years experience in strategic AI consultancy
• Co-founder of Enjins and responsible AI platform Deeploy
• Partner of Why Commit Capital, tech advisor/investor with focus on Climate & AI

Background: Started four tech companies from scratch. Advisor and Investor in Multiple Tech Companies and for VC funds/ Family Offices with focus on Climate & AI in Tech. M.Sc System Engineering from TU Delft.

Why Enjins? “Building Machine Learning models is rapidly becoming a commodity, but using these models in production to secure ongoing business value is not. We like to be the engineers who at the end of the day care about solutions that are actually implemented. With a strong and growing tech consulting team in Europe, we are on this mission every day.”

Iman Hasheni

ML Engineer

Background:

MSc Computing Science @ Utrecht University, Greenwaste

Why Enjins:

Having quite a technical background, I enjoy building technically sound and scalable ML solutions. Despite of that, I have always been interested in the bigger picture when it comes to ML, which includes explainability, the underlying business processes and the strategic component of ML. At Enjins, we look at this full picture to build useful and lasting ML solutions. That, combined with a great team and a great atmosphere, makes Enjins a great fit for me.

Learn more about our team!

Jose Avelar

Lead ML Engineer

Expertise includes among others:

• Robotics engineering: Development of navigation system for autonomous mobile robots.
• Computer Vision engineering: Development of CV algorithms for object detection and image processing.
• ML engineering: Development of Deep Learning models for image classification; design and development of MLOps framework for scaling ML solutions.
• Project management: Project management for robotics/industrial automation and ML projects; leader for multi-disciplinary robotics and ML teams.
• Strategy development for ML adoption: Development and implementation of global strategy for ML adoption in an organization.

Background: 5+ years working experience as robotics, embedded software, computer vision, and ML engineer. 2+ years of experience leading and managing AI innovation projects. MSc in Robotics from Eindhoven University of Technology.

Why Enjins? ”I chose Enjins because it focuses on building innovative AI solutions that directly impact businesses in fields with positive social impact, such as green-tech, sustainability, and healthcare. We work with ingenious companies to understand how AI can be used to achieve their goals and vision. I enjoy working at the forefront of these industries, getting inspired by leaders and innovators, and collaborating with teams of talented engineers to build solutions that matter.”

Cas Julicher

ML Engineer

Expertise includes among others:

• Built an advanced data platform with a forecasting use case for the green energy market for daily predictions of every PTU for the upcoming 24 hours for every individual customer.
• Built a robust streaming analytics application that processes tens of thousands of site-click events every hour into actionable analytics for a marketplace.
• Developed scalable infrastructure for a computer vision application that processes sixty images per minute for the classification of faults within the manufacturing process.

Background: 2+ years of working experience as a Machine Learning Engineer in Green tech, energy, marketplaces, and manufacturing. Strong interest in the Green tech domain and geospatial analysis. MSc in Data Science from Tilburg University and BSc in Applied Geo-Information Science from the HAS.

Why Enjins? “I chose Enjins because after writing my master’s thesis here at Enjins it became apparent that Enjins is a great company with a lot of skilled and like-minded people, this made clear that I wanted to stay here. Enjins allows for a great balance between technical skill and consultancy which is very exciting. Next to that, everybody likes to create intelligent and great systems for our customers.” 

Victor Prins

ML Engineer

Expertise includes among others:

• Generative AI applications: Built an LLM-based tool that sanitizes user input and flags abusive language, increasing accuracy to 96% whilst decreasing human input to a minimum, compared to a previous system
• Fraud detection system: Developed an automated system that detects fraudulent invoices for a FinTech client. Deployed in Google Cloud using BigQuery and dbt.
• Machine learning research: Published a peer-reviewed paper on AI for protein reconstruction, with implications for AI-enhanced drug discovery.

Background: 2 years of experience building neural networks, data warehouses, and doing full-stack development. MSc in Artificial Intelligence from the University of Amsterdam

Why Enjins? “Machine Learning is developing at such a fast pace that companies without dedicated AI teams struggle to keep up. As a consultant ML engineer I have the opportunity to bring the value of AI to many companies, whilst also gaining experience myself from the unique challenges presented by each client. Creating solutions that deliver tangible impact to people and organizations is what motivates me every day.”

Maarten Stolk

Co-Founder

Expertise includes among others:

• Co-founder of responsible AI platform Deeploy (founded 2020)
• Co-founder/CEO of Enjins (founded 2018)
• During previous employments worked hands-on in data and financial consulting at VODW, WTW and EscolherSeguro
• Involved as strategic AI advisor and challenger of many Enjins customers in the Netherlands

Background: Founder of Machine Learning companies Enjins & Deeploy. BSc Econometrics at University Maastricht, MSc Quantitative Finance at Erasmus.

Why Enjins? “The adventure and entrepreneurial culture at Enjins strive me to keep growing Enjins. I’m proud of the way we help other innovative and ambitious scale-ups and SMEs. Together, we realize valuable Machine Learning applications. Also, I’m happy to be part of our mission to deliver solid and transparent Machine Learning applications, which proved to be a real game-changer for our customers.”

Davide Lagano

ML Engineer

Expertise includes among others:

• Marketing sector: Built Marketing Mix Models, optimizing budget allocation models and NLP algorithms for worldwide clients, operating in over 130 markets.
• Agricultural sector: Implemented the entire cloud infrastructure on Microsoft Azure using Terraform, streamlining operations and enhancing collaboration across cross-functional teams.
• LLMs: Researched cutting-edge techniques to productionize robust and trustworthy large language models (LLMs).

Background: 3+ years working experience in developing machine learning models in the marketing sector, building infrastructure in Azure to productionize machine learning models for teams in agricultural sector, and working on large language models (LLMs). He holds a MSc in Data Science from University of Milan Bicocca.

Why Enjins? “I chose Enjins because of its dynamic and fast-paced environment, perfectly suited for addressing one of the biggest challenges in the data world: ensuring models are production-ready. At Enjins, the primary goal is to excel in the engineering aspect, guaranteeing that every model is well-implemented and sustainable for the long term. I am particularly drawn to Enjins’ dedication to supporting smaller companies. This allows me to play a pivotal role in everything from building the infrastructure to developing machine learning models and deploying them in the environments I create..”

Jon Maessen

ML Engineer Utrecht

Expertise includes among othersL

• Cloud and Data Engineering: Guided multiple scale-ups and SMEs in setting up their data platform in the cloud according to best practices and tools. AI and data use cases can only deliver business value if they are built on top of a robust data platform that adheres to rigorous development principles.
• Stakeholder and Change management: Besides great technology, facilitating change at a company requires involving a wide variety of stakeholders within the organisation. Taking a proactive stance towards management and collaborating with multiple teams is essential for project success.
• Computer Vision & Pattern Detection: Developed a Deep Learning model that predicts whether decorative patterns in textile designs are at risk for production anomalies.

Background: 3+ years working experience as Machine Learning Engineer in Marketplaces, GreenTech-, Mobility, and Legal. MSc in Data Science in Engineering from Eindhoven University of Technology.

Why Enjins? “What I like the most about Enjins is the amount of freedom you are given to make a success out of each assigned project. During your time at Enjins, you can quickly grow to a role in which you write business proposals and lead projects for clients. Carrying this responsibility brings more challenges than just building qualitative software, as you will be exposed to all facets of project management. Improving my leadership capabilities and writing clean code to facilitate change at organisations is what gets me going at Enjins.”

Fien Ockers

ML Engineer Utrecht

Background

I have received my Bachelor AI as well as my Master AI & Data Science from Radboud University Nijmegen. In my free time, I am an avid musical theatre enthusiast and therefore do like to spend my time going to the theatre or dancing and singing myself. And although I’m not a student anymore, I’m also active within the Vegan Student Association organizing fun events.

Why Enjins

I like to work in a small-scaled social environment where there is enough room to learn as I am quite curious to know more about the complete process of ML implementation at clients.

Learn more about our team!

Yannick Hermsen

Business Developer

Expertise includes among others:

• Internal Project Management: Led strategic and operational internal projects including scalability, security, and strategic development projects.
• Expertise about Climate Tech ecosystem: Identified and research tech scale-ups across the Climate Tech industry in the Netherlands and Germany.
• Mapped and research the investment and venture capital ecosystem in the Climate Tech, Mobility and Marketplaces industry.

Background: 2+ years of business development experience at Deeploy in the Explainable AI industry. BSc Economics and Master of Finance (Nijmegen & Amsterdam).

Why Enjins? “I get energized by contributing our strengths and expertise in impactful and innovate industries like Climate Tech. That’s exactly where Enjins position themselves by partnering with scale-ups and investors in the tech ecosystem.” 

Lennie Geraghty

Office Manager Utrecht

Background:

People and Hospitality – 1.5 years experience in Hilton Hotels & 5 years experience as an overseas representative with TUI.

Why Enjins?

I have always enjoyed working with people. That is why Enjins stood out to me, not only are the people of Enjins smart and innovative, they like to get things done! The energetic and fun atmosphere has already made me “feel at home” within new my role. I am excited to grow and learn more about the Enjins product and see how I can help make a difference in the future.

Learn more about our team!

Nick Jetten

CEO / Co-Founder

Expertise includes among others:

• During previous employments worked hands-on on several data science and data engineering projects for corporates in and outside of the Netherlands (forecasting, image recognition, dynamic pricing, marketing intelligence).
•  Involved as strategic AI advisor and challenger of many Enjins customers in the Netherlands and Berlin. Mostly within our focus areas: Climate Tech, Marketplaces and Mobility.
• Co-founder/CEO of Enjins (founded 2018)
• Co-founder of responsible AI platform Deeploy (founded 2020)

Background: 10+ years working experience as data scientist, Machine Learning Engineer, product owner, strategic advisor, account/project manager and tech founder. Previous roles at VODW, KLM and Isobar. BSc and MSc Econometrics @ RuG.

Why Enjins? “In 2018, I co-founded Enjins together with Maarten and Bastiaan. At that time, still some years before the AI hype we are currently experiencing, data science was a proof-of-concept game. People and businesses cared about accuracy, but not so much about going live with their models in a real-world setting. We felt there was a need for a service company to fill this gap. By combining a strong engineering mindset with a data & AI skillset, we began to grow the team. By now, we have helped over 100 innovative startups, scale-ups, and challenges to productionize AI at scale. We launched a new hub in Berlin, a product spin-off called Deeploy, and we are ready for our next strategic step: leveraging our established footprint to become the number one AI Engineering brand in industries that we believe matter: Greentech, mobility, and marketplaces.”

Georg Peter

AI Strategy Lead

Expertise includes among others:

• Project Management in GreenTech & E-Commerce: Led AI consulting and implementation projects at several scale-ups ensuring timely delivery and customer satisfaction.
• AI Solutions for Energy Sector & Marketplaces: Identified AI and data solutions for tech scale-ups across several industries, developing AI business plans, and implementation strategies.
• AI Strategy for large enterprises: Advised senior management at major banks, and mobility, and industrial goods DAX-companies on long-term AI and data strategy.

Background: 3+ years of consulting experience as Management Consultant at BCG in the mobility, banking, and industrial goods sector. BSc Economics and Master of Public Policy (Bonn, Washington DC & Berlin).

Why Enjins? “I highly value Enjins’ dedication to innovation and our ongoing efforts to stay at the forefront of our industry. Additionally, it is important to me to build machine learning solutions, particularly in industries like GreenTech, where we have the opportunity to generate substantial value not only for businesses but also for our society as a whole.” 

Basti Prehn

ML Engineer

Expertise includes among others:

• Cloud and Data Platform Engineering: Designed, developed, and implemented data management systems at multiple scale-ups and midsized companies adhering to state-of-the-art (MLOps-) principles and tools
• Marketplaces & Recommenders: Built recommendation system for media company operating in over 130 markets and with over 10 million users
• Computer Vision in Green- & MedTech: Developed segmentation algorithms to identify singular cells in microscopic image data

Background: 3+ years of working experience as Machine Learning Engineer mainly in GreenTech-, MedTech-, and online Marketplaces. MSc in Artificial Intelligence from Rijksuniversiteit Groningen.

Why Enjins? “I chose Enjins because I did not want to limit myself to either work as a Business Consultant, a Platform Engineer, or a Data Scientist/ Engineer. I was immediately intrigued (and a little intimidated) that Engineers at Enjins typically function in any of these roles. Naturally, Enjins Engineers also specialize with time but that always builds on top of a thorough know-how of the entire system in which the ML Model functions, encompassing a company’s business logic, operational structures, software development processes and Data- and ML infrastructure.”

Jannis van Kersbergen

ML Engineer

Expertise includes among others:

• Marketplaces & Recommenders: Built recommendation system for media company operating in over 130 markets and with over 10 million users
• Computer Vision & Object Detection: Developed object detectors to locate pathologies in 2D X-ray images and 3D CT scans for healthcare company
• E-Mobility & Energy: Developed charging point features for electric mobility service provider, incl. parking spot occupation detection, smart charging, dynamic load management

Background: 3+ years working experience as Machine Learning Engineer in Computer Vision in E-mobility, Healthcare and Home Security. MSc in Electrical Engineering from Eindhoven University of Technology.

Why Enjins: “I chose Enjins because it offers the chance to tackle practical real-world problems through integrated data analysis while always maintaining an engineering-first mindset, ensuring that our solutions work effectively in production. I’m also passionate about teamwork and see great value in collaborating with machine learning experts to grow and innovate together.” 

Jon Maessen

ML Engineer Utrecht

Expertise includes among othersL

• Cloud and Data Engineering: Guided multiple scale-ups and SMEs in setting up their data platform in the cloud according to best practices and tools. AI and data use cases can only deliver business value if they are built on top of a robust data platform that adheres to rigorous development principles.
• Stakeholder and Change management: Besides great technology, facilitating change at a company requires involving a wide variety of stakeholders within the organisation. Taking a proactive stance towards management and collaborating with multiple teams is essential for project success.
• Computer Vision & Pattern Detection: Developed a Deep Learning model that predicts whether decorative patterns in textile designs are at risk for production anomalies.

Background: 3+ years working experience as Machine Learning Engineer in Marketplaces, GreenTech-, Mobility, and Legal. MSc in Data Science in Engineering from Eindhoven University of Technology.

Why Enjins? “What I like the most about Enjins is the amount of freedom you are given to make a success out of each assigned project. During your time at Enjins, you can quickly grow to a role in which you write business proposals and lead projects for clients. Carrying this responsibility brings more challenges than just building qualitative software, as you will be exposed to all facets of project management. Improving my leadership capabilities and writing clean code to facilitate change at organisations is what gets me going at Enjins.”