Open to opportunities

sanjay tambe

@sanjaytambe

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Software Architect and AI Engineer specializing in Python backend and production LLM systems.

India

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What I'm looking for

I’m looking to lead end-to-end AI platform work—multi-agent systems, RAG, and production LLM deployments—while driving scalable Python services and CI/CD. I want a team that values measurable quality, low-latency performance, and thoughtful architecture.

I’m a Software Architect and AI Engineer with 11+ years of experience in Python backend development, scalable system design, and CI/CD automation. I build production-grade LLM applications, including Generative AI, Agentic AI, RAG pipelines, and NLP systems that perform reliably under real traffic.

At Cerence (India), I’ve been a Principal Software Engineer on the XUI Conversational AI Platform, contributing to a multi-agent conversational AI platform handling 10,000+ daily interactions with 95%+ response accuracy. I engineered agents with LangChain/LangGraph, built an LLM-driven CoT orchestration framework that improved task completion rates by 35%, and architected a RAG knowledge system using LangChain and Azure Cosmos DB to improve query accuracy by 45% and reduce LLM hallucinations by 60%.

I also develop pragmatic model adaptation and deployment strategies—building a “Muscle Memory” adaptation layer that enabled replacing a 70B model with a 3B model while significantly reducing inference cost and latency without compromising response quality. Before that, as a Senior Engineer at Harman Connected Services, I developed scalable backend services and REST APIs with Python, Django, and DRF, implemented feature toggle mechanisms for safe rollouts, and worked cross-functionally with UI teams.

Experience

Work history, roles, and key accomplishments

Current

Principal Software Engineer

Current

Cerence (India) LLP

Mar 2021 - Present (5 years 3 months)

Contributed to the architecture and development of a multi-agent conversational AI platform handling 10,000+ daily interactions with 95%+ response accuracy. Engineered LLM orchestration, a RAG knowledge system over 500+ automotive functions (45% higher query accuracy, 60% fewer hallucinations), and prompt/agent pipelines to cut inference cost and latency while maintaining response quality.

LangGraph RAG Flask REST APIs

Senior Engineer, Product Development

Harman Connected Services Corporation India Pvt. Ltd.

Dec 2019 - Mar 2021 (1 year 3 months)

Resolved critical production and pre-production issues for enterprise clients to improve system stability and customer satisfaction. Built scalable Python/Django/DRF backend services and REST APIs, implemented feature toggles for safe rollbacks, and supported ReactJS UI integrations to deliver high-impact releases on tight timelines.

Python Django REST APIs ReactJS PostgreSQL MongoDB Redis Docker Jenkins

I.T. Analyst

Tata Consultancy Services Limited (RnI Lab)

Jun 2016 - Dec 2019 (3 years 6 months)

Designed and implemented AI/ML proof-of-concepts and incubated ideas from recent research for customer presentations. Built a Neo4j-based knowledge graph for RecSys on 10K US-TCS resume records and developed supporting NLP/search solutions including question answering and text similarity.

Python Flask Pandas scikit learn SpaCy Neo4j MongoDB Knowledge Graphs Recommendation Systems

Associate System Engineer

Tata Consultancy Services

Oct 2014 - May 2016 (1 year 7 months)

Collected customer functional requirements and performed feasibility checks and effort estimation for mainframe/coolgen development work. Implemented ITIL process improvements using Java/Python scripts and performed MIPS optimization work on coolgen applications by tuning code and DB2 queries.

COBOL ITIL Java Python Performance Tuning Mainframe Systems MIPS Optimization