Pratyush Shukla is an applied research engineer based in San Francisco with about four years of experience building production-ready AI systems, observability tooling, and data pipelines. He’s a core maintainer of AgentOps’ open-source repositories and the creator of the DefiLlama-Curl Python package, combining practical software engineering with research-driven experimentation. His work spans integrating vectorized ClickHouse, OpenTelemetry-first SDK design, and end-to-end testing and CI automation to improve observability and reliability in agent platforms. He has pushed state-of-the-art vision and reasoning models into production—achieving unique wins like a Level 1 passing agent in the ARC-AGI-3 benchmark—and repeatedly cut costs and latency by adapting smaller LLMs for edge and cloud use. Trained at NYU with deep academic research roots from LPU, he bridges academic rigor and pragmatic shipping, often turning experimental models into deployable features.
4 years of coding experience
7 years of employment as a software developer
Senior Secondary Mathematics and Computer Science, Senior Secondary Mathematics and Computer Science at Dr. Virendra Swarup Education Centre, Kidwai Nagar
Master of Science Computer Engineering, Master of Science Computer Engineering at New York University
Bachelor of Technology Computer Science and Engineering (Honours), Bachelor of Technology Computer Science and Engineering (Honours) at Lovely Professional University
Contributions:2 PRs, 107 pushes, 55 branches in 9 months
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Pratyush Shukla - Applied Research Engineer at Abundant