Parvez Khan is an SDE II in Mumbai specializing in production-grade LLM systems and retrieval-augmented generation, with three years of hands-on experience building context-aware AI workflows using LangChain, vector retrieval, and OpenAI integrations. He designs prompt orchestration and real-time streaming features while optimizing AI pipelines for performance and reliability, having improved endpoint performance by around 35% through Redis, Celery, and PostgreSQL optimizations. Parvez is also a pragmatic full-stack engineer comfortable with React, FastAPI, Node.js, Docker, and AWS, routinely deploying containerized services to support concurrent production loads. His background includes detailed multimodal annotation work that informs his strong emphasis on grounded, verifiable AI behavior rather than experimental prototypes. Known for shipping reliable, scalable systems, he combines backend performance tuning with applied AI product thinking to solve real-world problems.
3 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at ANNIE INSTITUTE OF TECHNOLOGY AND RESEARCH CENTRE
PCM, PCM at Vidya Bhumi Public School Chhindwara M.P.
KryptoWalletApp is a basic Hardhat project showcasing Ethereum development practices. It features a sample contract, a corresponding test suite, a deployment script, and an example task implementation. This serves as a foundation for developers to explore and understand the functionalities of Hardhat in Ethereum development.
Contributions:4 PRs, 19 pushes, 5 branches in 2 years 1 month
An open-source codebase for sharing programming solutions. Good collection of `good first issue`
Contributions:42 pushes, 27 branches in 6 months
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