Sriram Durbha is an AI engineer with 11+ years of experience building production-grade machine learning and systems software across startups and large tech firms. He has led ML teams and productized generative and speech models—scaling custom TTS and singing voice synthesis to millions of requests and driving RAG/AI Agent platforms that generated significant enterprise upsell opportunities. At Google he owned high-throughput ML experiences for Tenor, prototyped GenAI tooling for app democratization, and enabled non-English support for global products. His background spans low-level optimization (C/C++, Rust), embedded/firmware work, and cross-platform application architecture, giving him rare fluency from hardware-near signal processing to LLM-centered productization. He also brings entrepreneurial chops—guiding startups from concept to launch and even inventing and crowdfunding a card game—so he combines rigorous engineering with practical go-to-market instincts. Based in Simi Valley, he’s known for mentoring teams and translating research prototypes into customer-facing revenue.
11 years of coding experience
21 years of employment as a software developer
MS Computer Enginnering VLSI Compilers Parallel Programming Satisfiability Genetic Computing, MS Computer Enginnering VLSI Compilers Parallel Programming Satisfiability Genetic Computing at University of Cincinnati
DECE Electronics and Commmunication, DECE Electronics and Commmunication at Sri Venkateswara Government Polytechnic
High school every thing under the sun, High school every thing under the sun at Montessori English Medium High School
Bachelor’s Degree Electronics and Communication, Bachelor’s Degree Electronics and Communication at V.R. Siddhartha Engineering College
Contributions:32 PRs, 68 pushes, 19 branches in 2 years 7 months
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