---
title: "Jeet Lohiya - Solutions Engineer in Hyderabad | Tal"
description: "Meet Jeet Lohiya, Solutions Engineer @TelusDigital | Translating Business Problems to Production AI Systems | APIs, LLM Agents, AWS, Backend based in Hyderabad. AI stack includes antigravity and codex."
image: "https://tal.club/meet/jeet-lohiya/share-image"
---

# Jeet Lohiya on Tal

## Headline

Solutions Engineer @TelusDigital \| Translating Business Problems to Production AI Systems \| APIs, LLM Agents, AWS, Backend

## About

Building production grade AI systems at the intersection of LLMs, backend engineering, and scalable infrastructure\. Currently a Solutions Engineering Intern at Telus International, where I design and deploy workflows processing 100K\+ records per run, with a strong focus on reliability, evaluation, and real world impact\. My work combines: LLM systems → agent design, prompt engineering, evaluation frameworks Backend engineering → Python, FastAPI, REST APIs, microservices Infrastructure → AWS, Redis, Docker, production deployments I’ve built multi step LLM agent systems with dynamic tool invocation and structured outputs, implemented evaluation first pipelines with regression testing, and developed PII safe, audit ready workflows with guardrails and monitoring achieving 99%\+ reliability across production systems\. What excites me most is taking systems from 0 to production, translating ambiguous business problems into scalable, reliable solutions with measurable outcomes\. Open to opportunities in: Software Engineering \| Solutions Engineering \| AI Engineering

## Location

Hyderabad

## AI stack

antigravity

codex

## Work experience

Solutions Engineer at TELUS Digital AI Data Solutions, Jul 2025 \- Present · 1 yr 2 mos, Bengaluru, Karnataka, India, Built 5\+ AI pipelines \(100K\+ records/run\) on AWS → \+35% reliability Developed LLM agent workflows \(DeckLingo\) → \-40% integration defects Implemented PII detection \+ guardrails → \-60% manual effort Designed evaluation frameworks \(50\+ tests\) → 99%\+ system reliability Built Retool dashboards → \-70% reporting overhead

Project Head \- Project Lamani at Abhigyaan, Jul 2023 \- May 2024 · 11 mos

Project Head \- Project Lamani at Nirmaan Organization, Jul 2023 \- May 2024 · 11 mos

Intern at AlgoUniversity, May 2023 \- Jul 2023 · 3 mos, Hyderabad, Telangana, India

Core at Abhigyaan, Feb 2022 \- Jul 2023 · 1 yr 6 mos

Core at Nirmaan Organization, Feb 2022 \- Jul 2023 · 1 yr 6 mos

Crew at The Department of Photography, BITS Pilani \- Goa, Jan 2022 \- Sep 2022 · 9 mos

## Education

Bachelor of Engineering \- BE, Birla Institute of Technology and Science, Pilani \- Goa Campus

Narayana Junior College \- India

[View the original profile](https://tal.club/meet/jeet-lohiya)

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