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Prakash Chaudhary
Machine Learning Engineer @Fetch
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WORK HISTORY
Machine Learning Engineer @Fetch
Seattle, WA, US
Built and shipped AI Shopping Assistant serving a 200K-user experiment – a Python/LangGraph agent with product card integration (catalog search, web search, 4.2M normalized images at 18x cost efficiency), episode-based conversation history (DynamoDB + S3), and production observability (Opik, OpenTelemetry, Grafana), deployed on AWS ECS Fargate- Built end-to-end LLM evaluation system – a continuous improvement loop connecting offline evaluation (golden dataset), online monitoring (production traces), and human annotation (judge calibration), with CI/CD deploy gating that blocks releases on quality regression- Led Multi-Agent Matching Framework: cross-functional team of 4 engineers; improved match rates by 3.1-3.3 percentage points (73.8%→76.9%) unlocking $165M in GMV; achieved 15% full automation with LLM-as-a-Judge guardrails at 97% accuracy, automating 50+ hours of manual operations to 2 minutes- Developed 3-agent annotation workflow using LangGraph with LLM annotation at 80%+ accuracy to reduce double-annotation to single annotator, cutting total annotation workload by 40% while maintaining dataset quality through human tie-breaking on disagreements- Fully automated RAG pipeline to flag incorrect product matches at 95% recall, protecting ~$800K in GMV annually; replaced manual workflow, reducing daily effort from 8 hours to 15 minutes and saving 40 hours weekly
EDUCATION
V.S. Niketan Higher Secondary School
+2, Science
MITx Courses
Micromasters, Statistics and Data Science
NAAMII
Crash Course in AI, Artificial Intelligence
Tribhuvan University, IOE, Pulchowk Campus
Bachelor of Engineering (B.E.), Electronics and Communications
The University of Alabama in Huntsville
Master of Science - MS, Computer Science
ABOUT PRAKASH CHAUDHARY
Machine Learning Engineer with over 5 years of experience designing and deploying scalable end-to-end ML models, with expertise in building AI agents leveraging human-in-the-loop automation to drive measurable business impact.
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