tj↗Teja Juttu Engineer. Builder. Explorer.
SAN FRANCISCO, CA
Let’s talk ↗
LEAD FORWARD DEPLOYED ENGINEER @ ELIZA ↗

AI engineering.
Human judgment.

I’m Teja. I build enterprise AI systems, lead through the hard decisions, and help engineering teams find their next gear.

Explore my work ↗
BUILDING AI. FINDING THE NEXT LINE.LinkedIn ↗GitHub ↗
A sculptural alpine peak in graphite stone with a copper climbing route and an observatory at its summit
01 / THE NEXT LINE↗
A little perspective.
Earned along the way.
NOW Lead FDE at ElizaPREVIOUSLY AI & Data at EYFOUNDATIONS Georgia Tech · IIT Madras
01 / THE WORK BEHIND THE TITLE

Close to the problem.
Deep in the engineering.

At Eliza, I work across customer engagements—connecting architecture, hands-on building, and the judgment that helps FDE teams deliver.

Shape the system.

Turn ambiguous needs into practical architecture. Make the calls on models, retrieval, integrations, and where AI belongs.

Build through the hard parts.

Stay close to the code, real data, and evaluation. Connect engineering decisions to what users can actually trust.

Raise the team’s ceiling.

Coach through real work. Turn deployment learning into reusable patterns and teams ready to own the next challenge.

02 / SELECTED AI WORK

From possibility to practice.

Explore the systems, the thinking,
and the decisions beneath the surface.

03 / EXPERIENCE

Different terrain.
A continuous thread.

Full experience on LinkedIn ↗
e.

Eliza

Lead Forward Deployed Engineer

Technical direction, enterprise AI engineering, and delivery leadership across customer engagements.

JUN 2026 — NOWON THE MOUNTAIN
EY

EY

Lead AI Engineer, AI & Data

Agentic systems, multimodal media intelligence, and enterprise retrieval. Led teams of 4–8 and brought MVPs through UAT.

JUL 2023 — JUN 2026
EY

EY

Senior Data Scientist

Forecasting, decision models, NLP, and workflow automation for manufacturing and retail.

JUL 2022 — JUL 2023
Earlier footholds +
2022 / PLAYERZERO

Product Data Science

NLP-driven bug triage, session analysis, and product experimentation.

2021 / GOLDMAN SACHS

Data Science, Risk

Consumer credit strategy and analytics for elective medical financing.

2018–2020 / AMERICAN EXPRESS

Business Analytics, Paid Search

Experimentation, automation, and paid media analytics across European markets.

2017–2018 / EY

Public-sector consulting

Healthcare and agricultural infrastructure strategy in India and Cambodia.

Georgia Tech MS · Computational Data ScienceIIT Madras Bachelor’s degreeAcademic project archive ↗
04 / FIELD NOTES

A few things I come back to.

What we learn should outlast what we ship.
01 / JUDGMENT

Judgment is knowing what deserves complexity.

The simplest architecture that earns trust.
02 / TRUST

The demo ends.
The work begins.

Real workflows. Real constraints. Real use.
03 / CURIOSITY

Stay certain about learning.
Less about being right.

A working principle, on and off the mountain.
05 / THE OTHER PLAYGROUNDS

There’s always another move.

Climbing, snowboarding, chess, and Dota 2.
Same curiosity. Different stakes.

YOUR TRAIL JOURNAL

0 of 5 waypoints explored

GOOD WORK STARTS WITH A CONVERSATION

What are you
working toward?

Let’s find a line ↗