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 (NL)

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 (NL)

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.” 

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.”

Joanne Lijbers

Senior ML Engineer

Expertise includes among others:

• Delivered ML solutions for companies including Coca-Cola, Albert Heijn, and IKEA, covering forecasting, personalization, and operational ML tooling.
• Helped transform an Early Warning System for illegal deforestation from a proof-of-concept into a robust, production-grade solution. Together with her team she improved model accuracy and deployed cloud-native data pipelines for real-time decision support.
• Extensive experience working with LLMs, RAG pipelines, and orchestration frameworks. Designed and implemented GenAI-powered systems that integrate language and vision models into scalable applications, including a code generation tool using LLMs to accelerate software development.

Background: 8+ years of experience in AI. MSc in Business Information Technology from University of Twente. Alongside client work, Joanne has taught Python and Machine Learning courses, sharing her technical expertise and supporting the development of others.

Why Enjins? “I joined Enjins because I wanted to apply my GenAI expertise in a team setting, sharing what I’ve learned, but also continuing to grow by learning from others. The opportunity to work on impactful projects at scale-ups, while doing so within a mature ML engineering environment, really stood out to me. It allows me to stay hands-on, keep up with the rapid developments in the AI space, and build solutions that are not only innovative but also built to last.”

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.”

Cas Julicher

Senior 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.” 

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..”

Hugo Kroonen

ML Engineer

Expertise includes among others:

• Climate Tech & Software Development: Designed and developed AI-powered software to help homeowners become more sustainable, overseeing the implementation of these applications across multiple municipalities.
• E-Mobility & Demand Forecasting: Built machine learning forecasting models to predict e-moped demand, optimising fleet allocation and improving battery swap operations.
• Marketplaces & Customer Segmentation: Developed a machine learning model to uncover key drivers behind grocery shopping behaviour, enabling personalised product recommendations.

Background: 2+ years of working experience as a Data Scientist and Software Engineer in Climate Tech, E-mobility, and Marketplaces. BSc in International Business and MSc in Econometrics from Erasmus University Rotterdam.

Why Enjins? “What drew me to Enjins was its focus on Climate Tech. I wanted to combine my background in software engineering and data science to build impactful AI/ML products from end to end – particularly in sustainability. Additionally, the team is always at the forefront of developments in AI and tech innovation, which makes it exciting to be a part of. “

Jeroen Wasser

ML Engineer

Expertise includes among others:

Jeroen’s AI Engineering expertise includes among others:

• Cloud and Data Platform Engineering: Designed and developed a microservice-based platform together with a multidisciplinary team, applying modern software engineering principles and project management practices for a mid-sized company.
• Data Engineering for the Public Sector: Built scalable data environments for various Dutch municipalities, enabling secure and efficient data extraction, transformation, and analytics across diverse sources.
• End-to-End Data Solutions: Delivered full-stack data solutions, from ingestion to insight, supporting better decision-making through tailored analytics and infrastructure.

Background: 2+ years of working as a back-end developer and product owner, 2+ years working experience as Data Science Consultant mainly in logistics and the public sector. MSc in Data Science in Business & Entrepreneurship from Eindhoven University of Technology and Tilburg University.

Why Enjins? “I chose Enjins because of the diversity in assignments and the opportunity to grow across different roles, from Data Scientist and Data Engineer to Business Consultant. The variety of projects allows me to continuously develop new skills while working on impactful solutions. Many of Enjins’ clients are ambitious start- and scale-ups operating in industries that are shaping the future, which gives real purpose to the work we do. On top of that, I was drawn to the level of talent within Enjins, surrounded by experienced and driven engineers, I knew this was a place where I could learn and grow fast.”

Jon Maessen

Senior ML Engineer

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.”

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.” 

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.”

Mariza Sophie Scheer

CCO (GER)

Expertise includes among others:

Mariza’s commercial leadership at Enjins focuses on enabling data-driven growth for climate tech startups, scale-ups, and enterprise clients through customized AI solutions. Her expertise to date includes:

• Commercializing AI solutions in Energy, Climate Tech, and Mobility: Developed and executed new market entry strategies, product launches, and scalable go-to-market models for B2B and B2B2C digital products, including AI-based pricing and forecasting tools
• Product-market fit & value proposition design: Led clients through discovery and validation sprints to align machine learning solutions with business goals and customer pain points, ensuring impact and scalability
• Leadership in cross-functional & global teams: Managed commercial, product, and tech teams across Europe, Asia, and the Americas—instilling a customer-first mindset, agility, and growth culture
• Enablement of AI engineering & data teams: Designed operating models and capability frameworks to equip data and engineering teams for success in delivering high-value AI solutions

Background: 10+ years of global experience across consulting, energy, mobility, and tech. Most recently, Mariza was a Senior Consultant at McKinsey & Company, advising C-level executives on growth, pricing, and sales strategy, particularly within the European industrial and tech sectors. Prior to that, she held product leadership and commercial roles at Shell, where she led the global pricing product function, built digital tools leveraging machine learning, and scaled new B2B products across markets. Mariza holds an MA in Psychology, Business & Statistics from the University of Glasgow and is a certified Scrum Product Owner.

Why Enjins? “I joined Enjins because I’m passionate about scaling purposeful AI solutions in climate tech and beyond. I believe that ‘it’s never just tech’—the best AI only creates impact if it actually works, gets used, and delivers real value. At Enjins, we build solutions that go live and make a difference, combining strong engineering with a deep understanding of what truly matters to our clients.” 

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

Senior 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.”