Kailash Dayanand is a software engineer based in the San Francisco Bay Area with eight years of experience spanning real-time streaming at Lyft, search infrastructure at Google, and earlier work in investment banking at JM Financial. He blends strong engineering skills in high-throughput systems and computer vision with formal finance training (IIM Ahmedabad and CFA coursework), enabling pragmatic ML and financial-analysis-driven solutions. At National Instruments he optimized image-processing pipelines and shipping performance gains for real-time video, and at Lyft he focuses on event streaming at scale. Comfortable crossing domains, he has a track record of turning quantitative finance workflows into production-ready software and mentoring engineers during rapid team growth.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Business Administration and Management, General, Master's degree, Business Administration and Management, General at Indian Institute of Management, Ahmedabad
BTech, Computer Engineering, BTech, Computer Engineering at National Institute of Technology Karnataka
An implementation of Amazon's Kinesis built on LevelDB
Contributions:2 PRs, 16 pushes, 1 branch in 1 year
kinesisamazonleveldb
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