Summary
Ritam Guha is a machine learning research scientist and PhD candidate with eight years of experience applying evolutionary computation and feature-selection techniques to real-world problems across industry and academia. He has driven research at Michigan State’s COIN Lab under Kalyanmoy Deb and built many-objective co-evolutionary optimization for multi-agent wargame strategy at Northrop Grumman, and now works on short-form video recommendation modeling at Meta. His background spans applied ML roles—impacting bidding and counterfactual policy evaluation at Expedia—and research on interpretable RL and manufacturing time-series, showing a rare blend of theoretical innovation and production-focused delivery. A top-10 undergraduate from Jadavpur University, he combines strong Python and ML engineering skills with deep expertise in evolutionary algorithms and feature selection, often translating published methods into deployable systems. Notably, his work bridges optimization research and measurable business KPIs, such as improving installs, ROAS, and gross profit in experimentation.
8 years of coding experience
8 years of employment as a software developer
High School, Science(Mathematics, Physical Science, Life Science), Arts(Bengali, English, Geography, History), High School, Science(Mathematics, Physical Science, Life Science), Arts(Bengali, English, Geography, History) at R K Mission, Rahara (from 5th to 10th std)
Bachelor of Engineering (B.E.), Computer Science and Engineering, 9.23, Bachelor of Engineering (B.E.), Computer Science and Engineering, 9.23 at Jadavpur University
High School, Mathematics, Physics, Chemistry, Computer Science, English, High School, Mathematics, Physics, Chemistry, Computer Science, English at Delhi Public School, Ruby Park
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Michigan State University
English, Hindi, Bengali