With 8 years of experience bridging the gap between Data Science and Software Engineering, I don't just build predictive models—I architect, deploy, and maintain end-to-end intelligent systems that drive real business value.
As an independent contractor, I partner with startups and established companies to solve complex computational problems, operating seamlessly within your existing engineering teams or taking full ownership of your data infrastructure.

Core Areas of Expertise:
Machine Learning & AI Integration: From traditional predictive modeling to implementing modern GenAI and multi-agent systems, ensuring models are accurate, scalable, and cost-effective.
Production-Ready MLOps: Transforming research code into robust software. I build automated pipelines, containerized deployments (Docker), and scalable architectures to keep your models performing reliably in production.
Advanced Optimization & Constraint Programming: Beyond standard AI, I specialize in operations research and constraint programming. If your business faces complex logistical bottlenecks, resource allocation puzzles, or automated scheduling challenges, I can build deterministic engines that find the absolute optimal decisions, not just predictions.
Data Architecture & Engineering: Designing solid data foundations, API integrations, and robust backend structures in Python to feed your AI systems with clean, reliable data.

Why Work With Me?
End-to-End Ownership: With a dual background in Data Science and Software Development, I handle the entire lifecycle—from the mathematical formulation to the final API endpoint.
Business-Centric Approach: I focus on your ROI. Every line of code or model trained is aligned with reducing costs, increasing retention, or automating tedious operations.
Transparent & Asynchronous Communication: Based in the CEST timezone (Europe), I offer a perfect overlap for EU/UK teams and a highly productive asynchronous workflow for US-based clients. I provide clear, documented, and proactive updates.