AI Engineer with 4+ years in RAG Architectures & Agentic Pipelines
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GenAI Engineer with 4+ years of experience building scalable backend systems, enterprise platforms, and production-grade AI workflows. Specialized in multi-tenant RAG architectures, LLM evaluation, and stateful agentic pipelines using LangGraph, pgvector, Model Context Protocol (MCP), FastAPI, and Celery.
University of Mumbai
B.E. · Information Technology
August 1, 2017 – June 30, 2020
Aditya Birla Group
AI Full Stack Engineer
March 1, 2025 – Present
Mumbai, Maharashtra, India
Turing
AI Full Stack Engineer
October 1, 2024 – January 1, 2025
India
upGrad
Full Stack Developer
September 1, 2023 – April 1, 2024
Bengaluru, Karnataka, India
Chesa
Full Stack Developer
July 1, 2021 – September 1, 2023
Bengaluru, Karnataka, India
Cultural Fit Analysis
The candidate's diverse experience across different companies (Aditya Birla Group, Turing, upGrad, Chesa) and roles (AI Full Stack Engineer, Full Stack Developer) indicates adaptability and a broad skill set. Their involvement in early GenAI adoption and building real-time collaboration tools suggests an innovative and collaborative mindset, aligning well with dynamic tech cultures. The progression from full-stack development to specialized AI roles shows a clear career trajectory and commitment to the field.
Soft Skills & Operational Fit
The candidate's resume demonstrates strong problem-solving skills through architecting complex AI systems and optimizing performance. Their experience with agile environments and real-time collaboration tools suggests good operational fit and teamwork capabilities. The focus on observability and cost-tracking indicates a pragmatic, production-oriented mindset.