Professional Overview
AI Architect and full-stack AI engineer with 10 years in software , now building production agentic systems. I design and ship multi-agent platforms end to end: LangGraph and Google ADK orchestration, RAG, human-in-the-loop, guardrails and observability, FastAPI backends and React frontends, on Google Cloud (Vertex AI, Cloud Run) and Azure AI Foundry. Recent work: - Sales QBR platform: Synthesis, Content and Analysis agents on Gemini/Vertex AI answer sales managers' questions, auto-generate executive QBR slides and email them to leadership on a schedule - Intelligent Regulatory Platform (IRP): leading React architecture and GenAI features on Azure AI Foundry for a life-sciences regulatory system handling 500K+ submissions a year - Insurance claims AI: LangGraph agents for verification, fraud detection and escalation; automated 60% of manual checks and cut processing from 4 hours to 45 minutes, with 92% precision in UAT I take agents from demo to production: architecture, evaluation, security and cost control. Based in India (IST), flexible overlap with US and EU hours.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Architected a multi-agent sales QBR platform on Gemini, Vertex AI and Cloud Run.
- Built agents that auto-generate QBR slides and email them to leadership
- Built LangGraph claims agents for verification, fraud checks and escalation.
- Leading React and GenAI work on Azure AI Foundry for a life-sciences platform.
- Led frontend for a banking platform used by 3,000+ users in 40+ countries.
Key Achievements / KPIs
- Automated 60% of manual claim checks, cutting processing from 4h to 45 min.
- Reached 92% precision in UAT for the claims AI with zero audit findings.
- Built reusable components used across 4 modules, speeding features by 30%.
- Mentored 4 engineers and cut critical bug escapes by 40% via code reviews.
Education
Field of Study: Electrical Engg
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
