Work
Founding Engineer
From 0 to MVP in 2 quarters. Cross-platform Flutter-based app for personalized skincare, full-stack solution on Firebase and custom UI. Custom Computer vision models for skin analysis and LLM-based agents for recommendations and product discovery.
Flutter / Firebase / Riverpod / ML Kit / Google Cloud
Founding Engineer
Engineering the full-stack B2C platform for immune health, from backend blood RNA analysis pipelines to the customer-facing application.
Python / Bioinformatics / ML Engineering
Founding Engineer
From idea to revenue in 1 year. Architected and developed a data-driven platform for analyzing agricultural data, providing insights to farmers and agronomists. Full-stack developed in Next.js with scalable backend, supporting world spanning data-sets.
Next.js / TypeScript / Prisma / Mapbox / Nivo / Vercel
Software Architect Advisor
Strategic consulting on ML architecture, MLOps, and software design for RNA sequencing analysis.
MLOps / Software Architecture / ML Engineering
Machine Learning Scientist
Causal machine learning research on RNA-Seq. NGS and Nanopore data. Working with sequence embedding models and graph networks. In-house platform for data, feature, and result analysis and MLOps to enable for code-free ML analysis across large set of datasets and objectives.
Python / PyTorch / sklearn / Biostatistics
Research Intern
Intern at Max Welling's Machine Learning Lab at the University of Amsterdam.
Python / PyTorch / SLURM
Machine Learning Engineer - Intern
Building statistical models to analyze engine part quality and live fleet monitoring. Building a production-ready data visualization app.
Python / PySpark / Palantir Foundry / Dash / Agile development
Full-stack Web Developer
Ground-up development of a team communication and organization web portal in Ruby on Rails.
Rails / Ruby / Software Engineering
Education
M.Sc. Artificial Intelligence
Specialization in topics: Theoretical machine learning, Computer Vision, Reinforcement Learning, NLP, Information theory
GPA 4/4, cum laude
B.Sc. Applied Computer Science
Specialization on image processing and pattern recognition: Deep Learning, 3D Computer vision, medical image analysis, fairness in AI
GPA 3.58/4