Jiten Thakkar is a software engineer with 14 years of experience building scalable backend and systems software, currently working on ML performance infrastructure at Google in Mountain View. He played a founding engineering role at AWS to launch Synthetic Image Generation for computer vision, designing a fault-tolerant, horizontally scalable backend that minimized GPU needs for hundreds of thousands of synthetic images. His background spans distributed systems and low-level concurrency—shiping optimizations like Merkle-tree based syncs at VMware and a generic personalization platform at Evernote—plus SDK/tooling for Unreal Engine to drive real-world simulations and synthetic data workflows. Comfortable across cloud-native stacks, Go and RPC systems, and simulation-driven ML pipelines, he combines research experience in program analysis with product-focused delivery. An interesting through-line in his career is applying game-engine tech to non-game problems, turning virtual worlds into practical data-generation and large-scale spatial simulation tools.
14 years of coding experience
10 years of employment as a software developer
The University of Utah
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Dhirubhai Ambani Institute of Information and Communication Technology
Contributions:11 commits, 1 PR, 10 pushes in 1 year 4 months
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