About
Full-Stack AI Engineer focused on useful AI products, not just model demos.
I am a Bengaluru-based engineer with 6 years 4 months of experience across cloud, data, backend, and product engineering. My current focus is full-stack AI engineering: building product experiences, backend workflows, retrieval systems, evaluation loops, and deployment-ready AI features.
I like working where software engineering and AI system design meet. A good AI product needs more than prompts: it needs a clear user workflow, reliable APIs, good data flow, review states, observability, and a way to measure whether behavior improved or regressed.
What full-stack AI means in my work
- •Frontend product experiences for copilots, dashboards, review flows, and AI-assisted workflows.
- •Backend APIs, orchestration, auth boundaries, queues, state transitions, and tool execution paths.
- •Data and retrieval systems that connect documents, metadata, vector search, citations, and feedback loops.
- •Evaluation and operations practices for traces, prompt/version changes, cost, latency, and release readiness.
How I prefer to work
- •Start with the user workflow before choosing the model or framework.
- •Design the frontend, backend, data path, and evaluation loop together.
- •Make AI behavior visible through traces, review states, metrics, and feedback.
- •Teach concepts through projects, diagrams, examples, and implementation practice.
Proof timeline
Now
Full-Stack AI Engineering focus
Building portfolio proof around AI product UX, backend orchestration, RAG, agents, evaluation, and deployment.
Flagship
Agentic AI Production Harness
Runnable demo, eval suite, tool contract schema, trace artifacts, and visual trace mock.
Resource person proof
AICTE ATAL FDP at SMVITM, Udupi
Faculty Development Program resource session with classroom photos, certificate evidence, felicitation, and event banner.
Workshop proof
Full-Stack GenAI workshop at DSCE
Hands-on application development, student mentoring, project discussion, and judging evidence added through real workshop photos.
Workshop proof
National-level AI & ML workshop at MIT Pune
Two-day AI & ML workshop evidence added through real event photos and workshop positioning.
Selected outcomes and signals
Teaching, mentoring, and workshops
The work I enjoy most combines building with teaching: helping people understand how full-stack AI products fit together, where they fail, and how to implement them responsibly through real examples.
