Shape the system.
Turn ambiguous needs into practical architecture. Make the calls on models, retrieval, integrations, and where AI belongs.
I’m Teja. I build enterprise AI systems, lead through the hard decisions, and help engineering teams find their next gear.
At Eliza, I work across customer engagements—connecting architecture, hands-on building, and the judgment that helps FDE teams deliver.
Turn ambiguous needs into practical architecture. Make the calls on models, retrieval, integrations, and where AI belongs.
Stay close to the code, real data, and evaluation. Connect engineering decisions to what users can actually trust.
Coach through real work. Turn deployment learning into reusable patterns and teams ready to own the next challenge.
Explore the systems, the thinking,
and the decisions beneath
the surface.
Technical direction, enterprise AI engineering, and delivery leadership across customer engagements.
Agentic systems, multimodal media intelligence, and enterprise retrieval. Led teams of 4–8 and brought MVPs through UAT.
Forecasting, decision models, NLP, and workflow automation for manufacturing and retail.
NLP-driven bug triage, session analysis, and product experimentation.
Consumer credit strategy and analytics for elective medical financing.
Experimentation, automation, and paid media analytics across European markets.
Healthcare and agricultural infrastructure strategy in India and Cambodia.
Judgment is knowing what deserves complexity.
The simplest architecture that earns trust.The demo ends.
The work begins.
Stay certain about learning.
Less about being right.
Climbing, snowboarding, chess, and Dota 2.
Same curiosity.
Different stakes.
0 of 5 waypoints explored