Headline

AI Engineer

About

I build systems that sit at the edge of backend engineering and AI — the kind of work where a poorly designed retrieval pipeline or a missing retry layer shows up in production before anyone notices. For the past two years at Framsikt, I've worked across .NET 8, Azure, and LLM tooling — cutting report latency by 70%, building a distributed notification engine on Azure Service Bus that hits 99.9% delivery reliability, and shipping an MCP-based debugging tool that lets AI agents inspect live browser state and resolve issues autonomously. The domain is sustainability analytics and public-sector reporting, which means correctness and reliability aren't nice-to-haves. Outside of work I'm building things: a multimodal RAG agent that hit 90% retrieval accuracy, and a full-stack e-commerce platform in Go and React from scratch. Both on GitHub. I graduated with a 9.1 GPA in CS, hold Azure certifications, and am based in Bengaluru. Open to roles in AI engineering, backend systems, or full-stack GenAI — especially teams that care as much about how things are built as whether they ship.

Location

Bengaluru

AI stack

anthropic apis

claude code

elevenlabs

gemini

github copilot

kimi

Work experience

Artificial Intelligence Engineer at STG Labs, Jul 2026 - Present · 2 mos

Software Engineer at Framsikt AS, Apr 2024 - May 2026 · 2 yrs 2 mos, Bengaluru, Karnataka, India, Engineered an AI-augmented CI/CD system by integrating GitHub Copilot into Azure DevOps pipelines, automating bug triage and feature scaffolding — slashing per-feature development time by 40% across production modules. Pioneered a production debugging workflow using MCP (Model Context Protocol) + Chrome integration, enabling LLMs to inspect live DOM state and autonomously resolve complex frontend issues — reducing debugging turnaround time by 30% and eliminating an entire category of escalations. Eliminated critical API bottlenecks through deep SQL optimization — JOIN restructuring, index tuning, and redundant table removal reduced document export time by 50%, directly unblocking a high-priority client delivery. Spearheaded migration of synchronous .NET services to async/await architecture, eliminating thread-blocking bottlenecks and improving system throughput by ~40% under concurrent production workloads.

Java Full Stack Intern at keyboor, Jun 2023 - Mar 2024 · 10 mos, Full-Stack Architecture: Engineered a production-grade project management platform with a Spring Boot backend leveraging Java Virtual Threads for high-concurrency REST and WebSocket handling — featuring a configurable workflow engine, domain-driven service layer with Repository and Strategy patterns, and Spring Data JPA with Hibernate persistence backed by PostgreSQL.– Real-Time & Frontend Delivery: Built a React/TypeScript frontend with drag-and-drop Kanban boards and live WebSocket sync; integrated Redis for rate limiting and user presence, enabling real-time collaborative planning for engineering teams

Education

Bachelor of Technology - B Tech ( Honors in AI/ML), Cse, G. Pulla Reddy Engineering College