Prateek Hitli
AI EngineerFull Stack Developerhitliprateek6@gmail.com
AI Engineer & Full Stack Developer. I build scalable systems and intelligent AI-powered solutions.
Experience
Junior AI Developer
Aug 2025 - Present
Mysore, Karnataka, India
Frontend Web Developer Intern
Sep 2024 - Feb 2025
Haryana, India
React Js Frontend Developer Intern
Apr 2024 - Jun 2024
Remote
Projects
PilotKit
An insurance assistant that has to pass a test lab before it talks to customers. Jev decides and the LLM talks: every turn, Jev routes intent, catches prompt injection, flags PII and decides on human handoff before any tool runs, and gpt-4o-mini only extracts fields and writes the reply. Customers sign in to see their policies and file claims, shoppers compare 40 real plans, and voice input works too. In the lab, nine simulated customers (an angry claimant, a Hinglish speaker, a PII over-sharer, a prompt injector) chat with the bot and get graded against a rubric, and uncertain verdicts go to a human review queue. A turn costs $0.000359 with p95 latency of 4.23 s, and a full suite run costs about $0.02.
MKT·INTEL
An AI market research agent that sources every claim. A LangGraph team plans the research, searches and crawls the live web (Context.dev, then Tavily, then Firecrawl, with a credit breaker), extracts cited claims and has Jev make typed, confidence-scored decisions about each change, looping back when the evidence is weak. Eight playbooks, from pricing teardowns to TAM/SAM/SOM, export to PDF, PowerPoint, Excel, Markdown or JSON. Users can bring their own encrypted keys and models.
Jev Lab
Twenty-four decisions an AI product makes every day (classify, gate, route, filter, verify), each decided three ways: by Jev, by an LLM prompt and by plain code. Same labelled rows, real API calls, every mistake counted and charted as accuracy against cost per decision. Jev got 95.7% right across 486 decisions and lost 6 of the 24 projects. A full run of all 24 costs about $0.51.
Blog
I Tested a Decision Model 486 Times, Then Built a Product on It
Jev Lab runs 24 everyday AI decisions three ways: Jev, an LLM prompt, and plain code. Jev got 95.7% of them right and lost 6 of the 24 projects. MKT·INTEL is the market research agent I built on it afterwards, and it still runs without Jev.
I Built an AI Security Auditor, Then Audited It. It Was Wrong Twice.
Six agents read what three scanners found and grade a container image. Then I checked every finding against docker inspect and a raw Trivy run - and found one recommendation that would break your image and one that was three releases stale. Both are in the README.
Building the LEGO Speed Champions Fast & Furious Toyota Supra Mk4
Documenting my experience building the 319-piece LEGO Speed Champions Fast & Furious Toyota Supra Mk4 - from unboxing to the final iconic orange build.
Education
Bachelor's Degree in Artificial Intelligence
2021 - 2025
CGPA: 8.1
Pre-University (PCMCs major)
2019 - 2021
Score: 92.33%
Development
Personal
"If you don't take risks, you can't create a future."
- Monkey D. Luffy, One Piece