Summary
Rahil Jhaveri is a data engineering and analytics professional with 8 years of experience, an MS in Data Science from Northeastern, and a track record of building production-grade ELT pipelines and post-trade analytics for quant teams and financial services. He has driven measurable cost and time savings—saving firms up to $250k annually and cutting weekly manual work by 15 hours—by modernizing workflows with Snowflake, DBT, Python and orchestration tools. At JPMorgan and AlphaGrep he enabled quant researchers and traders to backtest and reconcile large-scale datasets, and more recently helped a payments/benefits platform save $130k/year and accelerate client onboarding. Comfortable across cloud, database, and ML stacks (from ClickHouse and Redshift to Hugging Face and PyTorch), he pairs hands-on engineering with a knack for rapid learning and pragmatic automation. Not obvious from titles alone: he blends quant-focused time-series preprocessing with practical LLM/agent tooling experience, having embedded LLM evaluators into customer-facing solutions to cut development time while preserving contextual accuracy.
8 years of coding experience
3 years of employment as a software developer
High School Science, High School Science at KC College
Shri S K I Jain high School
Master of Science - MS Data Science, Master of Science - MS Data Science at Northeastern University
BE - Bachelor of Engineering Computer Engineering, BE - Bachelor of Engineering Computer Engineering at Dwarkadas J. Sanghvi College of Engineering
Hindi, Gujarati, English