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Sreeram Bhaskar
Senior AI/ML Engineer specializing in Generative AI, NLP, and regulated industries
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About
Built end-to-end ML and GenAI systems at Northern Trust, including a production RAG-based document intelligence platform for financial reports and contracts. Stands out for combining strong MLOps execution with practical product judgment—improving forecast accuracy by 22%, document review accuracy by 38%, and cutting deployment time by 45% while keeping latency and reliability production-ready.
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Key Strengths
- owned ML/AI systems end-to-end from stakeholder definition through deployment and monitoring
- production RAG implementation for financial document intelligence
- balanced latency, cost, and accuracy tradeoffs in real-time ML systems
- improved forecast accuracy by 22%
- improved document review accuracy by 38%
- reduced deployment time by 45%
- strong MLOps and productionization with MLflow, Docker, Kubernetes, and CI/CD
- designed reusable Python service layers that improved team velocity and reliability
- implemented monitoring and retraining workflows for model performance, latency, and drift
- prevented bad predictions through centralized schema validation and rapid incident response
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