Open to PhD and quant / risk roles
Rajiv Chaitanya Muttur
Reinforcement learning, graph learning, and quantitative finance, with a focus on macro risk.
CS graduate from DSCE Bengaluru, minor in Economics and Finance. Seven conference papers, six manuscripts under review, one working paper. Currently a Machine Learning Engineer at Albertsons Companies India.
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Resilience-based allocation with drawdown geometry and recovery stability.
Meta-learning GNN with a leakage-free evaluation protocol for cross-sectional equity forecasting.
PPO selector for adaptive document retrieval in edge RAG.
Currently
Machine Learning Engineer at Albertsons
ML Ops and production model deployment inside the Albertsons Companies India global capability centre.
ATTUNE: Adaptive Two-Tier Retrieval for Edge-Native RAG
Contextual-bandit controller that routes each query over a two-tier index for edge-native RAG, conditioned on a deployment-time profile of an unknown black-box generator. Under review at IEEE ICEdge 2026.