Pushkar Raj is a Senior Data Scientist with around nine years of experience applying ML, DL, CV, and NLP to deliver production-ready AI solutions. He has built end-to-end systems from text-to-SQL agents and AI survey analysts to document AI pipelines and large-model deployment workflows, often leveraging AWS serverless stacks, Bedrock/Anthropic models, and vector retrieval techniques. Known for bridging research and product, he optimizes latency and accuracy through engineering choices like multiprocessing, RAG, and chain-of-thought architectures while also managing project delivery and stakeholder analysis. At Appnox he solved distributed training and inference challenges for large language models and stood up a cost-effective GPU deployment for OPT-30B, demonstrating practical scaling expertise. Based in Noida, he combines hands-on model development with systems design and deployment experience, and often applies creative prompt engineering and metadata-aware retrieval to reduce hallucinations. Pushkar is actively seeking full-time roles in ML/DL/CV/NLP where he can translate advanced AI research into measurable business impact.
A machine Learning approach to solve the wineQuality problem .
Contributions:2 PRs, 17 pushes, 4 branches in 1 day
solveapproachmachine-learningproblem
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