Prasad Gujar is a software engineer with 8 years of experience building scalable, production-grade systems across payments, data platforms, and AIOps-inspired ML tooling. He has delivered high-impact projects at Myntra—designing a capacity recommendation engine for 550+ services, migrating monoliths into microservices, and building a reliable scheduler—and recently worked on payments at Tala before joining BlackRock. His background spans distributed systems, C++, algorithms, optimization, and computer vision, coupled with hands-on experience in data platform engineering and database migrations to RocksDB. Prasad blends applied machine learning with systems engineering, having designed ML models and robust data pipelines to improve predictive scaling. Based in Mumbai, he is comfortable driving end-to-end solutions from architecture through implementation in fast-moving product teams. A practical problem-solver, he favors measurable reliability and efficiency gains over theoretical elegance.
8 years of coding experience
4 years of employment as a software developer
Diploma in Engineering Information Technology, Diploma in Engineering Information Technology at Government Polytechnic,Mumbai
Bachelor of Engineering - BE Information Technology, Bachelor of Engineering - BE Information Technology at Vivekanand Education Societys Institute of Technology Sindhi Society Chembur Mumbai 400 071
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