Summary
Michalis Alifierakis is a Senior ML Engineer with a decade of experience applying data science and machine learning to problems ranging from social media and vision to physics-based simulations. With a PhD in Chemical and Biological Engineering from Princeton, he blends deep scientific rigor with practical engineering—building production-ready models at Bloomberg and Gauntlet and developing CNNs for niche computer vision tasks like lipstick removal. Comfortable across the ML stack in Python (Pandas, NumPy, scikit-learn, TensorFlow) and experienced with particle and finite element simulation data, he excels at turning complex, domain-specific datasets into actionable models. Based in San Juan, Puerto Rico, he brings interdisciplinary curiosity (chemical engineering roots and interest in DeFi) that helps him bridge research, simulation, and product-focused ML engineering.
10 years of coding experience
7 years of employment as a software developer
Engineering Diploma Chemical Engineering, Engineering Diploma Chemical Engineering at National Technical University of Athens
Doctor of Philosophy (Ph.D.) Chemical and Biological Engineering, Doctor of Philosophy (Ph.D.) Chemical and Biological Engineering at Princeton University
Greek, English, French, Spanish