Jeet Lohiya profile photo 1 on Tal

Jeet Lohiya

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

Hyderabad

3+ years of work experience

TELUS Digital AI Data Solutions
Jul 20251 yr 2 mosPresent

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
Abhigyaan
Jul 202311 mosMay 2024

Nirmaan Organization
Jul 202311 mosMay 2024

AlgoUniversity
May 20233 mosJul 2023

Hyderabad, Telangana, India

Abhigyaan
Feb 20221 yr 6 mosJul 2023

Nirmaan Organization
Feb 20221 yr 6 mosJul 2023

The Department of Photography, BITS Pilani - Goa
Jan 20229 mosSep 2022

Jeet’s AI Stack

antigravity
antigravity
codex
codex

Education

Birla Institute of Technology and Science, Pilani - Goa Campus

Bachelor of Engineering - BE

Birla Institute of Technology and Science, Pilani - Goa Campus

20215 yrs2026

Narayana Junior College - India

20192 yrs2021

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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

Jeet Lohiya - Solutions Engineer in Hyderabad | Tal