AI/Agentic Engineer building RAG & multi-agent systems | LangChain · LangGraph · FastAPI · Vector DBs | Applied AI

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Singapore

Remote







Bachelor of Technology - BTech, Computer Science
University of Kashmir

High school, Science
Oasis Educational Institute
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I build AI systems — RAG pipelines, LLM-powered agents, and multi-agent workflows — and I come at it from an angle most don't: enterprise automation. Plenty of people prototyping agentic AI have never had to make a system survive contact with a messy, real-world enterprise environment. I have. I design and deploy workflow automation for a global enterprise client — process analysis, bot development, API integration, intelligent document processing — and I'm actively bringing LLM-based components into those pipelines. That mix of RPA reliability discipline and LLM capability is where I think the most genuinely useful AI automation gets built. Outside of client work, I build production-minded AI systems hands-on: → Agentic & multi-agent systems with LangGraph and n8n — orchestration, tool use, self-correcting loops → RAG pipelines with FastAPI, Qdrant / ChromaDB, and both hosted (GPT-4o) and local models (Ollama) → Evaluation & optimization tooling for retrieval quality, because shipping AI means measuring it → Full-stack delivery — Go and Python microservices, Dockerized, deployed My foundation is in shipping real software: before Brillio I built and released cross-platform mobile apps and Node.js backend services at a healthcare startup, owning full production release cycles. That "make it work in production" instinct is what I bring to AI engineering. Currently focused on: production RAG, agentic/multi-agent architectures, LLM orchestration, and the Azure AI stack. Tech: Python · LangChain · LangGraph · FastAPI · RAG · Vector DBs (Qdrant, ChromaDB, FAISS) · OpenAI / Ollama · Go · n8n · Docker · Azure · Node.js · UiPath Open to AI Engineer / GenAI Engineer / Applied AI roles. If you're building LLM-powered or agentic systems, let's talk.
Bengaluru
antigravity
claude code
github copilot
hugging face
langchain
langgraph
Engineer-Automation Solutions at Brillio, Sep 2025 - Present · 1 yr, Bengaluru, Karnataka, India, - Work directly with business teams at a global enterprise client to analyze workflows, identify automation opportunities, and translate processes into technical specifications. - Design and develop UiPath RPA bots to automate rule-based and document-heavy business processes end-to-end. - Integrate automation pipelines with enterprise APIs, internal systems, and third-party applications. - Deploy, monitor, and maintain automation solutions with a focus on reliability and performance. - Maintain documentation, version control, and development best practices across automation projects. - Exploring integration of LLM-based components (intelligent document processing, AI-assisted workflows) into existing automation pipelines.
SDE-I at MyCLNQ Health, Jan 2025 - Aug 2025 · 8 mos, Bengaluru, Karnataka, India, - Built and maintained cross-platform mobile applications using React Native for a healthcare platform operating across multiple countries. - Developed backend services using Node.js with MongoDB, deployed on AWS and Azure. - Managed full mobile release cycle including App Store and Google Play submissions, versioning, and hotfixes. - Worked in Agile sprints using Jira for task management and cross-team collaboration. - Contributed to both frontend and backend codebases, delivering new features and resolving production issues.
App Developer intern at MyCLNQ Health, Mar 2024 - Jun 2024 · 4 mos, Singapore, - Worked on a patient-doctor booking platform used across multiple countries. - Integrated new features including real-time chat into a legacy React Native codebase. - Resolved critical production bugs and contributed performance improvements. - Collaborated with cross-functional teams in an Agile environment using Jira.
iOS App Developer at Tabbly, Mar 2024 - Jun 2024 · 4 mos, Remote, - Independently designed, developed, and launched the Tabbly iOS app from scratch. - Built app architecture using Swift and SwiftUI with a focus on performance and code maintainability. - Delivered a production-ready app to the App Store on schedule.
Bachelor of Technology - BTech, Computer Science, University of Kashmir
High school, Science, Oasis Educational Institute