
01 / 03 · Apr 2026
Findmejob (CareerForge)
AI career platform · cost-aware multi-model routing
An AI career platform that assesses profiles, surfaces real jobs, and tailors a resume on click, without the per-user LLM bill spiraling.

ISHAN
AI / ML Engineer
Open to full-time AI/ML roles.
query deflection on enterprise chatbots
faster ticket resolution
manual effort cut via orchestration
pipeline uptime
Don't read a resume. Just ask.
A live agent grounded in my actual resume and projects. Tap a question, no typing needed.
Pick one
Four years of production, then school on top of it.
I started at TCS in 2021 wiring analytics dashboards for a Life Sciences client, and spent four years working backwards from what broke in production. Dashboards became NLP pipelines. Pipelines became LLM chatbots running for three enterprise clients. Chatbots became orchestration with routing and automated decision points.
Now I'm doing a Master's in Applied AI at Northeastern on a 4.0, and building the thing I care about most: retrieval systems that stay grounded, agents that decide, and pipelines you can actually put a number on. I write my own eval sets because I'd rather know than guess.
I'm looking for a full-time AI/ML role in Boston, starting May 2027. If your team is shipping LLM systems to real users, that's the work I want.
CURRENTLY
Boston · 4.0 GPA · through May 2027
MOST RECENTLY
Developer · Jul 2021 – Aug 2025
2021
Started at TCS wiring real-time analytics (OSIsoft PI) for an enterprise Life Sciences client. Learned how production data actually behaves.
2022
Grew into Python and NLP: ticket classification, entity extraction, document summarization. The first pipelines I owned end to end.
2023
Deployed GPT-3.5/4 chatbots across 3 enterprise clients with intent classification and retrieval-grounded answers. 60% query deflection.
2024
Built LLM orchestration on internal tooling: conditional routing, automated decision points. Cut manual effort 55%; SLA 88% → 96%.
2025–26
Master's in Applied AI at Northeastern, 4.0 GPA. Now shipping eval-driven RAG and agentic systems with multi-stage guardrails.
Three systems, live and measured.
Each one is deployed and has an eval story. Scroll to move through them.

01 / 03 · Apr 2026
AI career platform · cost-aware multi-model routing
An AI career platform that assesses profiles, surfaces real jobs, and tailors a resume on click, without the per-user LLM bill spiraling.
Project 1 of 3: Findmejob (CareerForge)

01 / 03 · Apr 2026
AI career platform · cost-aware multi-model routing
An AI career platform that assesses profiles, surfaces real jobs, and tailors a resume on click, without the per-user LLM bill spiraling.

02 / 03 · Jan 2026
Socratic tutoring engine for K-12
A tutor that teaches by asking, not answering. It plans multi-turn pedagogy and refuses to hand students the solution.

03 / 03 · Feb 2026
Production RAG · built for OpenEye, a Cadence company
Cheminformatics engineers spent 20–40 minutes hunting docs to write a working Omega Toolkit script. Goal: working Python in seconds, grounded in 200+ pages of API docs.
What I reach for.
Thinking in public.
Essays on where LLM systems actually break, and what the production data says.
Where the fundamentals came from.
Master's in Applied Artificial Intelligence
Advanced PG Certificate, Data Science
B.C.A., Computer Application
Ready when you are.
Open to full-time AI/ML roles from May 2027. Boston preferred, remote OK. If your team is shipping production RAG, agents, or LLM evals, I'd like to hear about it.