About

Full-Stack AI Engineer focused on useful AI products, not just model demos.

I am a Bengaluru-based engineer with 6 years 5 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.

Open to Full-Stack AI Engineering roles, AI product engineering, architecture reviews, workshops, mentoring, and advisory conversations.
Built production systems across cloud, data, backend, and product engineering contexts.
Mentored 5,000+ learners and professionals through workshops, webinars, interview coaching, and technical sessions.
Served as Resource Person for an AICTE ATAL Faculty Development Program at SMVITM, Udupi.
Delivered a Full-Stack GenAI Application Development workshop and judging session at Dayananda Sagar College of Engineering.

What I work on

The full AI product path.

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 work

I care about systems that can be explained, tested, and improved.

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.

Timeline

Recent proof I am building around.

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.