Praguna Manvi is a Deep Learning Engineer with 8 years of experience building efficient, high-performance AI systems for compute-constrained environments. Currently at MathWorks, Praguna develops quantization recipes to make deep models practical on edge accelerators, drawing on prior contributions to core DL libraries during an internship at Intel. His background spans scalable backend systems, web3 forensics, and research in computer vision, biometrics, and cryptosystems from IIITH, reflecting a rare blend of production engineering and academic rigor. He has delivered end-to-end backend platforms for high-throughput consumer services and enterprise blockchain forensics, showing comfort across full-stack and systems-level problems. Praguna is notable for focusing on performance engineering—turning research insights into optimized software rather than only theoretical models. Based in Bengaluru, he pairs a research MS with hands-on experience shipping tools that bridge ML research and constrained-hardware deployment.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering (BE), Computer Science, Bachelor of Engineering (BE), Computer Science at B. M. S. College of Engineering
Master of Science - MS by Research, Master of Science - MS by Research at International Institute of Information Technology Hyderabad (IIITH)
leetcode,hackerrank like online coding application
Contributions:8 PRs, 11 pushes in 10 months
leetcode-solutionsonline-codingleetcode
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Praguna Manvi - Deep Learning Engineer at MathWorks