PraCha
Prabakaran Chandran · பிரபாகரன் சந்திரன்
Machine Learning Engineer · MS Data Science, Columbia University (2025–2027)
ML Engineer with 6.5+ years of experience across the stack of enterprise analytics and data science, and zero-to-one building of AI/ML solutions across startups and technology products. I'm currently a graduate student at Columbia, exploring the foundations, frontiers, and frameworks of machine learning and AI with a focus on learning, decision-making, and intelligent systems. I often think through the lens of systems, behavior, and intelligence - a mental model that shapes how I approach both problems and solutions. My career arc has been one of going from sensors to tensors, deeply influenced by and . I'm also intentionally building myself toward research engineering, with excitement for the rigorous intersection of theory, experimentation, and real-world systems. I care deeply about teaching, resourcefulness, and intellectual generosity, which is why I enjoy serving as a 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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