Kartikey Garg is a Quantitative Researcher with 8 years of experience blending data engineering and quant modeling across institutional and hedge-fund environments. Currently at BlackRock, he previously built production-grade ML and statistical investment models and engineered petabyte-scale ETL pipelines and a NumPy-based library to turn NSE trades into historical order books for high-frequency use. He has a strong practical background in optimizing data systems—partitioning and clustering that cut query costs by 100x and reducing order-book creation from days to seconds—paired with a Micromasters in Finance and a BTech in Computer Science. Comfortable collaborating with CIOs and CEOs, he bridges research and engineering to deliver measurable trading and portfolio outcomes. An under-the-radar strength is his ability to translate high-frequency market data into reusable, low-latency primitives that drive both research and production strategies.
8 years of coding experience
1 year of employment as a software developer
High School Diploma, Science, High School Diploma, Science at Prfs
Parvati Radhakishen Fomra School
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Shiv Nadar University
Micromasters, Finance, General, Micromasters, Finance, General at MITx on edX
Contributions:4 PRs, 9 pushes, 6 branches in 10 months
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