Lead Forward Deployed Engineer at Eliza

Building AI with the people who use it.

I’m Teja. I work with teams on AI architecture, engineering, and delivery.

Teja smiling outdoors, with hills, water and a city skyline behind him

Currently at Eliza

Engineering, close to the problem.

I work alongside customers and engineers to design and build AI systems around real workflows.

I set technical direction, work through retrieval, integrations and evaluation, and support FDEs through the hard parts of a build.

Selected work · EY, 2023–2026

A closer look at the work.

AI systems built around what people need to find, understand, and do.

01 Media & entertainment

Search inside a video, not just its title.

I worked on scene-level semantic search that brought video understanding, audio parsing, and metadata together. Agents used that context to create highlights, summary podcasts, and articles.

Explore the project

02 Energy

Grounding agents in enterprise knowledge.

I built agentic retrieval systems with ingestion and search layers, tool use, and guardrails to help answer subject-matter questions.

03 Video AI

Making video AI easier to start.

I adapted NVIDIA’s video search blueprint into repeatable starting points for sports highlights, security alerting, and broadcast moderation.

At EY, I led teams of 4–8 developers and took MVPs through UAT.

A little about me

Curious about how things work.

My path has taken me from IIT Madras and Georgia Tech to analytics, data science, and AI engineering. Along the way, I’ve worked across media, energy, financial services, retail, and manufacturing.