Dheeraj Bhavsar, AI engineer and engineering manager in Bengaluru

Quick facts

Role

Engineering Manager at QuesttAI (AI engineer, player-coach)

Based in

Bengaluru (Bangalore), India

Experience

6+ years: agentic AI, LLM apps, backend, cloud, mobile

Focus

Enterprise agentic AI, MCP, knowledge graphs, AI delivery, DevSecOps

Clients

Nokia, Vodafone Idea, PepsiCo, ZEE5, AM/NS India, Motilal Oswal

Education

B.E. Computer Science and Engineering, Rajiv Gandhi Technical University (RGPV), Bhopal, 2016–2020

Roles I fit

AI Engineer, Engineering Manager, Agentic AI Engineer, Generative AI (GenAI) Engineer, LLM Engineer, AI Solutions Architect, Forward Deployed Engineer, Player-coach engineering leader

Enterprise clients

Nokia, Vodafone Idea, PepsiCo, ZEE5, AM/NS India (ArcelorMittal Nippon Steel), Motilal Oswal, House of Anita Dongre, LivSpace

Selected work

• Enterprise Context LayerCore platform · The context layer for enterprise AI — entities, metrics and decisions in one traversable graph, so agents follow the same decision paths a company's best people do.
• Secure AI Appliance & LicensingCore platform · Turned the context-layer platform into a licensed, encrypted, self-installing appliance that runs inside the client's own cloud — no client data ever leaves their tenant.
• Expert Knowledge-Capture AgentCore platform · Started as a GenAI tutor; became the agent that interviews domain experts, captures their decision logic into the context layer, and answers questions by walking the graph.
• Distributor Order EnginePepsiCo · with PwC India · AI-assisted distributor ordering for PepsiCo (AIDEN) — from application architecture and engineering standards to pilot hypercare.
• Supply Chain AI AgentsFMCG Enterprise · Purpose-built agents for inventory allocation, demand sensing and distribution optimization in real time.
• Sales Intelligence PlatformRetail Enterprise · AI-driven sales optimization — beat planning, outlet scoring and rep guidance tied to real-time signals.
• AI Retail Analytics PlatformHouse of Anita Dongre · Retail BI and conversational analytics — a warehouse schema, stock-history modelling and an agent for store- and SKU-level decisions.
• Email Support BotMotilal Oswal Financial Services · Automated classification, resolution and escalation of customer emails — led from data mapping to production in Dec 2025.
• Procurement Audit PipelineLivSpace · OCR-driven three-way reconciliation (PO – Invoice – GRN) that automated manual procurement auditing.

Experience

• Engineering Manager, QuesttAI, BengaluruSep 2025 – now
• Software Development Engineer II, QuesttAI, BengaluruOct 2021 – Sep 2025
• Senior Software Engineer, MobCast, MumbaiJul – Oct 2021
• Software Development Engineer, Squareboat, GurugramJul 2020 – Jul 2021

FAQ

Who is Dheeraj Bhavsar?

Dheeraj Bhavsar is an AI engineer and engineering manager based in Bengaluru (Bangalore), India. He is an Engineering Manager at QuesttAI, where he leads 15+ engineers and owns enterprise AI delivery end to end: technical pre-sales, solution architecture, BOM and TCO estimation, client cloud readiness, build, deployment and hypercare. He is still hands-on: he is the primary author of QuesttAI's enterprise context-layer platform, a knowledge graph of business entities, metrics and decisions served to AI agents over the Model Context Protocol (MCP), shipped to Nokia, Vodafone Idea, PepsiCo, ZEE5 and AM/NS India. He also owns the company's DevSecOps and compliance layer (CI/CD, container hardening, SSO/IAM, SOC 2 and GDPR readiness). He has 6+ years of experience across agentic AI, LLM applications, backend systems, cloud and mobile.

Is Dheeraj Bhavsar an AI engineer?

Yes. Dheeraj Bhavsar is a hands-on AI engineer and engineering manager. He builds agentic AI systems with LangGraph, LangChain and the Model Context Protocol (MCP), designs knowledge-graph context layers for LLM agents, and deploys them inside enterprise AWS and Azure tenants. He wrote most of QuesttAI's context-layer platform himself while leading a team of 15+ engineers.

What has Dheeraj Bhavsar built?

An enterprise context layer (a knowledge graph served to agents over MCP) that took a Fortune 100 telecom from a failing AI pilot to 96% decision accuracy in 6 weeks; a secure, licensed AI appliance that runs inside client clouds with zero data egress; an email support bot for Motilal Oswal with 90%+ evaluation accuracy, live since Dec 2025; a distributor order engine for PepsiCo with PwC India; supply-chain and sales-intelligence AI agents; and a retail analytics agent for House of Anita Dongre.

What is Dheeraj Bhavsar's tech stack?

Python, TypeScript, FastAPI, Node.js and NestJS; LangGraph, LangChain, MCP, OpenAI and Anthropic Claude APIs, RAG and knowledge graphs; PostgreSQL, DuckDB, MongoDB and Redis; AWS, Azure, GCP, Docker and Kubernetes; plus earlier work in iOS (Swift), Flutter and WebRTC.

What kind of roles does Dheeraj Bhavsar fit?

Player-coach engineering leadership: Engineering Manager, Head of Engineering, AI Engineering Lead, Agentic AI Lead, AI Solutions Architect or Forward Deployed Engineering Lead, especially at product companies and startups building AI for enterprises.

Where is Dheeraj Bhavsar based?

Bengaluru (Bangalore), Karnataka, India.

How do I contact Dheeraj Bhavsar?

Email dheerajbhavsar940@gmail.com, or reach him on LinkedIn (linkedin.com/in/bhavsardheeraj) or X (@dheeraj_bhavsar).