Omkar Nayak builds practical AI systems that ship.

Summer Analyst, Financial Modeling

• Automated monthly macroeconomic data aggregation by integrating APIs to pull and transform data into an interactive dashboard, working with CFO and IR teams to define key metrics and accelerating reporting workflows by about 15%.
• Refactored the team’s flagship software to improve production-readiness, reduce latency by about 10%, and lower operating costs by about 8%, restructuring the codebase for safe AI-agent editing while preserving the core business logic bankers rely on.
• Implemented Agentic RAG and Graph RAG pipelines to optimize LLM-based workflows across advisory teams, partnering with senior staff to encode each team’s business logic and saving an estimated 4 to 10 hours per team weekly.

Machine Learning and Systems Engineer

• Built CrewAI workflows for continuous monitoring and optimization of digital twin simulations.
• Integrated agentic frameworks into CI/CD to reduce manual intervention and speed iteration.
• Deployed production RAG pipelines with LangChain and vector databases for domain-specific inference.

Research Assistant II

• Authored GWAS research on phenotype recognition with LLMs across 12 phenotypes and 50,000+ records.
• Co-developed medical LLM reasoning work that improved diagnostic accuracy by 38%.
• Accelerated AI research cycles on HIPAA-regulated infrastructure with vLLM and parallelized architecture.

Machine Learning Engineering Intern

• Deployed predictive models with Lightwood and Hugging Face to support five+ proprietary ML models.
• Integrated ML into the Suuchi GRID platform and helped drive a 27% increase in orders.
• Worked across Python, MindsDB, PostgreSQL, Docker, and Apache Superset.