Work Experience
Professional experience and achievements
Co-founded Lazy Dynamics, a startup focused on transforming uncertainty into actionable insights through cutting-edge Probabilistic AI Solutions for enterprise applications.
- Established and co-founded innovative startup with experienced team members
- Developed comprehensive business skills including product strategy, sales, and marketing
- Gained valuable insights through iterative learning and adaptation
- Engaged with industry leaders and researchers including Erik Meijer, Kevin Murphy, Norman Winarsky, Chris Lattner, and Daniel Lee
- Successfully secured venture capital funding from prominent investors
Eindhoven Events Co-Organizer
Public Events & Community Management
Co-organize public events and meetups for the Julia and Python communities in Eindhoven, fostering local developer engagement and knowledge sharing. I'm mostly focused on marketing and community management as well as content creation, photos, videos and social media management.
- Co-organized PyData 2025 as main committee member
- Co-organized PyData 2024 as main committee member
- Co-organized JuliaCon 2024 as main committee member
- Co-organized PyData 2023 as main committee member
- Led JuliaCon Local Eindhoven 2023 as committee member
- Manage regular meetups and community events for Julia and Python developers
PhD Researcher
Electrical Engineering Department, Signal Processing Group, BIASlab
Conducted research on novel reactive message-passing frameworks for Bayesian inference, with the developed framework becoming a key component of the Lazy Dynamics product. Served as postdoctoral researcher for 18 months following PhD completion.
- Developed RxInfer.jl, a novel reactive message-passing framework for Bayesian inference
- Presented research findings at international conferences and workshops
- Authored and co-developed multiple open-source Julia packages: ReactiveMP.jl, GraphPPL.jl, Rocket.jl, and ExponentialFamily.jl
- Enhanced technical presentation and academic writing capabilities
- Mentored graduate students and supervised master's thesis projects
- Contributed to educational activities through seminar instruction
- Achieved proficiency in Dutch language
- Thesis is available https://research.tue.nl/en/publications/reactive-probabilistic-programming-for-scalable-bayesian-inferenc
Completed two summer internships at ExxonMobil's headquarters, focusing on the integration of advanced numerical linear solvers into large-scale simulation software. Collaborated closely with a small team to deploy solutions on a high-performance computing cluster with thousands of compute nodes.
- Integrated advanced numerical linear solvers into ExxonMobil's large-scale simulation software
- Collaborated in a small, agile team to deliver high-impact solutions
- Deployed and tested software on a high-performance cluster with 1,000+ nodes
- Gained experience working with extensive legacy codebases
- Enhanced communication and technical skills in an international environment
Software Engineer
Full-stack Development
Developed VDJdb, a curated database of T-cell receptor (TCR) sequences with known antigen specificities. The database facilitates access to information on T-cell receptor antigen specificities, specifically the recognition of epitopes in MHC contexts. Served as lead developer for the web interface, resulting in a publication in Nature.
- Designed and developed comprehensive RESTful APIs for VDJdb database
- Optimized database queries achieving significant performance improvements
- Led UI/UX design and frontend development for VDJdb web interface
- Architected and deployed production system with 10+ years of operational stability
- Co-authored publication in Nature journal
