Utsav Srivastav
@utsavsrivastav
I build enterprise Lakehouse platforms and generative AI systems that reduce cost, latency, and engineering demand.
IndiaWhat I'm looking for
At McGraw-Hill Education, I architect enterprise Databricks Genie spaces, semantic ontologies, and RAG systems over petabyte-scale Lakehouse assets. My work cut ad-hoc data requests by 68%, achieved sub-200ms retrieval latency, and saved $140,000 annually through MCP-based LLMOps governance.
Across 9+ years in data engineering, including Wipro Technologies, I've built reliable Spark, Informatica, Airflow, Python, and SQL pipelines for enterprise clients. I lead GenAI adoption, mentor engineers, and design Lakehouse architectures that improve ingestion speed, model training cycles, and cloud cost efficiency.
Experience
Work history, roles, and key accomplishments
Architected enterprise Databricks Genie spaces with semantic ontologies, reducing ad-hoc data requests by 68%. Built advanced RAG frameworks using LangGraph, Redis Stack, and Anthropic Claude APIs, and led LLMOps governance via MCP, saving $140,000 annually.
Education
Degrees, certifications, and relevant coursework
Birla Institute of Technology and Science, Pilani
Master of Technology, Artificial Intelligence & Machine Learning
2025 -
Pursuing a Master of Technology in Artificial Intelligence and Machine Learning through the Work-Integrated Learning Programme.
Kamla Nehru Institute of Technology, Sultanpur
Bachelor of Technology, Information Technology
2012 - 2016
Completed a Bachelor of Technology in Information Technology, building a strong foundation in software engineering and data systems.
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
Skills
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