Summary
Aditya Mangal is a founding AI engineer and seasoned machine learning practitioner with 11 years of experience building large-scale, production ML systems across consumer internet platforms. He led personalization and ranking efforts at Roblox—developing learned bloom filters for cost-efficient massive-scale joins and ML-driven matchmaking—and earlier drove near-real-time location enrichment and login-abuse model serving at Yahoo. Comfortable across R, Java, and Python, he blends data-mining rigor from a Stanford graduate certificate with systems-first engineering habits honed at IIT Kharagpur and years of backend service development. Based in California, he excels at translating research into low-latency, high-throughput services that operate at internet scale. A pragmatic inventor, he tends to favor algorithmic efficiency (e.g., bloom-filter optimizations) when solving costly engineering bottlenecks.
11 years of coding experience
13 years of employment as a software developer
High School 12th CBSE Maths Science Informatics Practices, High School 12th CBSE Maths Science Informatics Practices at Choithram School, Indore
B.Tech (Hons.) Computer Science And Engineering, B.Tech (Hons.) Computer Science And Engineering at Indian Institute of Technology, Kharagpur
Graduate Certificate Data Mining and Applications, Graduate Certificate Data Mining and Applications at Stanford University
English, Hindi, French