PraCha
Prabakaran Chandran · பிரபாகரன் சந்திரன்
Machine Learning 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.
Recent Writing
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Projects
Zero-Shot Coordination in Multi-Agent RL
Convention emergence via IPPO. When does ad-hoc teamwork fail — and what enables it without prior agreement?
Causal State-Space Models
SCM-augmented Mamba for counterfactual forecasting. Granger causality vs. do-calculus interventions.
Port-Hamiltonian Neural Networks
Energy-preserving neural ODEs with PH structure as inductive bias for conservative physical systems.
Now
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