Prabakaran Chandran
பிரபாகரன் சந்திரன்
Senior ML Engineer · MS Data Science, Columbia University (2025–2027)
ML Engineer and researcher with 6.5+ years building production systems across document understanding, enterprise AI, forecasting, computer vision, and optimization. Currently at Columbia pursuing the theoretical and applied foundations of learning and decision-making — causal inference, reinforcement learning, dynamical systems. Teaching Assistant in Causal Inference and Advanced Analytics.
Work
- prachalabs.com — Product lab. broCoDDE live. Rewire and Bounded Agents in development.
- appliedmodels.co — Generative model experiments. Train from scratch, fine-tune, break apart, analyze. Open-source.
- researchengineer.ing — Applied research system. Mathematical foundations, RL, causal inference, decision theory.
- cooc.ing — Essays. Complexity, cognition, decision science. Vol. I underway.
Writing
Currently — March 2026
- Study MS Data Science at Columbia — RL, causal inference, deep learning, probabilistic modeling
- Teaching TA in Causal Inference and Advanced Analytics
- Research Generative model experiments at appliedmodels.co; mathematical foundations at researchengineer.ing
- Building broCoDDE live at prachalabs.com; Rewire and Bounded Agents in development
- Writing cooc.ing Vol. I — first essay live, next in progress
Research Interests
- Causal inference and invariance
- Reinforcement learning and multi-agent systems
- Dynamical systems and time-series modeling
- Continual learning and memory
- Interpretability via simulation and counterfactual reasoning
- Mechanism design and behavioral modeling