Prabakaran Chandran
பிரபாகரன் சந்திரன்
Senior ML Engineer · MS Data Science, Columbia University (2025–2027)
About
ML Engineer and researcher with 6.5+ years building and deploying systems across document understanding, enterprise AI, forecasting and time-series modeling, computer vision, optimization, and simulation. Currently pursuing an MS in Data Science at Columbia University, with a focus on the theoretical and applied foundations of learning and decision-making. Teaching Assistant in Causal Inference and Advanced Analytics.
The work sits at the intersection of Systems, Behavior, and Intelligence — how dynamical systems evolve, how people and organizations actually decide, and how machine learning operates inside both. The organizing question is not prediction but intervention: what changes when you act, and how does the system respond? This framing — decision engineering — shapes the research, the tools, and the writing.
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
Currently — March 2026
- Study MS Data Science at Columbia — RL, causal inference, deep learning, probabilistic modeling
- Teaching TA in Causal Inference and Advanced Analytics
- Writing cooc.ing Vol. I — first essay live, next in progress
- Research Generative model experiments at appliedmodels.co; mathematical foundations at researchengineer.ing
- Building broCoDDE live at prachalabs.com; Rewire and Bounded Agents in development