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
JuliaLang Eindhoven Co-Organizer
Public Events & Community Management
Co-organize public events and meetups for the Julia programming language community in Eindhoven, fostering local developer engagement and knowledge sharing.
- Co-organized JuliaCon 2024 as committee member
- Led JuliaCon Local Eindhoven 2023 as committee member
- Manage regular meetups and community events for Julia developers
- Foster local Julia programming language community growth
- Facilitate knowledge sharing and networking among 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
