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Lakshya Shrivastava

Data & AI Engineer @GSK

Bengaluru

4+ years of work experience

GSK
Jul 20224 yrs 5 mosPresent

Built a LangGraph multi-agent assistant with a supervisor routing requests across 5+ specialized agents for governed discovery across 100+ data products and 500+ applications. Implemented hybrid RAG using Azure OpenAI embeddings, Azure AI Search (vector + semantic), and PGVector, contributing to approximately 35% faster data-asset discovery. Built an MCP server to expose enterprise data capabilities as reusable tools, allowing agents to discover and invoke the same capabilities through standardized interfaces. Developed the backend using Python, FastAPI, PostgreSQL, and LangGraph, with async execution, conversational state, conditional routing, observability, and SME-validated golden datasets for regression testing.
Biztime IT Solutions Pvt.Ltd
Apr 20203 mosJun 2020

Bengaluru, Karnataka, India

Lakshya’s AI Stack

claude code
claude code
claude
claude
github copilot
github copilot
grok
grok

Education

Vellore Institute of Technology

Bachelor of Technology, Computer Engineering

Vellore Institute of Technology

20184 yrs2022

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Headline

Data & AI Engineer @GSK

About

AI Engineer with over 4 years of experience in developing cutting-edge enterprise GenAI and Agentic AI systems specifically in pharmaceutical contexts. Proven ability in building multi-agent orchestration and automated data-quality solutions, focusing on regulatory compliance and data governance. Recognized for innovation and engineering excellence while delivering impactful technological contributions.

Location

Bengaluru

AI stack

claude code

claude

github copilot

grok

Work experience

Artificial Intelligence Engineer at GSK, Jul 2022 - Present · 4 yrs 5 mos, Built a LangGraph multi-agent assistant with a supervisor routing requests across 5+ specialized agents for governed discovery across 100+ data products and 500+ applications. Implemented hybrid RAG using Azure OpenAI embeddings, Azure AI Search (vector + semantic), and PGVector, contributing to approximately 35% faster data-asset discovery. Built an MCP server to expose enterprise data capabilities as reusable tools, allowing agents to discover and invoke the same capabilities through standardized interfaces. Developed the backend using Python, FastAPI, PostgreSQL, and LangGraph, with async execution, conversational state, conditional routing, observability, and SME-validated golden datasets for regression testing.

Back End Developer at Biztime IT Solutions Pvt.Ltd, Apr 2020 - Jun 2020 · 3 mos, Bengaluru, Karnataka, India

Education

Bachelor of Technology, Computer Engineering, Vellore Institute of Technology

Lakshya Shrivastava - Artificial Intelligence Engineer in Bengaluru | Tal