Summary
Rahul Veettil is a Machine Learning Engineer with 11 years of experience who builds principled, decision-focused data products combining statistical rigor and practical engineering. He specializes in Bayesian inference, probabilistic graphical models, and deep learning for tasks like classification, feature engineering, and graph-based biological problems. Equally fluent in Python and R, he moves models from research to usable tools using libraries such as PyTorch, PyMC3, h2o and pgmpy while leveraging SQL, Bash and visualization for end-to-end solutions. Known for mentorship, cross-disciplinary collaboration and scientific communication, he brings a rare mix of technical depth and people-first leadership. Based in Lombardy, Italy, he actively applies graph machine learning and causal modeling to network biology—translating complex data into actionable insights.
11 years of coding experience