Utkarsh Kavitkar
@utkarshkavitkar
I build production-ready machine learning, generative AI, and agentic systems for real-world prediction and decision-making.
IndiaWhat I'm looking for
I build end-to-end machine learning and applied AI systems, from feature engineering and model validation through deployment on AWS, Azure, Docker, and FastAPI.
My projects include a Spotify AI Memory System using LangGraph, Neo4j, ChromaDB, LangChain, and a custom MCP server; a churn model that achieved 0.92 ROC-AUC and 0.89 F1; and a machine-failure model that reduced false negatives by 13%.
At Worley, I analyze engineering and material datasets, validate ASME compliance, and create Excel-based reporting and validation workflows that improve data accuracy and governance.
Experience
Work history, roles, and key accomplishments
Analyzed large-scale engineering and material datasets to validate compliance with ASME standards. Built reporting and validation workflows using Advanced Excel to support data-driven decisions and enforce data accuracy and governance across project deliverables.
Education
Degrees, certifications, and relevant coursework
Pimpri Chinchwad College of Engineering and Research
Bachelor of Engineering, Mechanical Engineering
2021 - 2024
Grade: 8.62/10
Bachelor of Engineering in Mechanical Engineering with a CGPA of 8.62/10.
AlmaBetter
Applied Professional Fellowship, Data Analytics & BI
Applied Professional Fellowship in Data Analytics & BI.
Coursera
Specialization, Machine Learning
Machine Learning Specialization.
Availability
Location
IndiaAuthorized to work in
Salary expectations
Skills
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