Summary
Kapil Garg is a seasoned software engineer and engineering leader with 18 years delivering scalable, data-driven systems across finance, energy, and tech. He has driven high-impact back-end architectures for quant research at AQR, including low-latency data catalogs, real-time data pipelines, and robust ETL with quality metrics, resulting in faster strategy optimization and fewer production issues. A proven cross-functional leader, he has steered distributed systems, cloud migrations to AWS, and microservices at large organizations like JPMorgan Chase, Goldman Sachs, and Seven Lakes Technologies, while shaping product strategy and governance. He combines hands-on engineering with strategic architecture, powered by a strong Python/C#/.NET stack, PySpark, Spark, Kafka, and AWS services. He recently joined Meta as a Software Engineer, illustrating his adaptability to consumer-tech scale while continuing to operate at the intersection of data platforms and high-performance software. An engineer by training (Bachelor of Technology in Mechanical Engineering) who transitioned into software, he brings a unique systems-thinking perspective to building resilient, scalable solutions.
9 years of coding experience
16 years of employment as a software developer
Bachelor of Technology, Mechanical, Bachelor of Technology, Mechanical at Motilal Nehru National Institute Of Technology