Hitaansh Jain

Hitaansh Jain

CS at NYU, graduating May 2027. I build web apps and AI tools.

Prev. SWE Intern @ Header·Prev. SWE Intern, AI @ MathGPT·3.93 GPA

Open to new grad SWE opportunities starting Summer 2027·New York-based, open to relocation

Experience

Header

May 2026 – Aug 2026

Software Engineer Intern

  • Built and shipped Follow-ups, letting users capture ideas from briefings and track them to a recorded verdict. Delivered the workflow, API, email reminders, and web UI in three weeks.
  • Engineered an API that lets AI coding agents update Follow-ups alongside users, with row-level locking, permission checks, and an audit trail to prevent conflicting updates and unauthorized actions.
  • Shipped controls to reorder, toggle, and adjust briefing sections. Replaced a hardcoded prompt with configurable blocks and shortened summaries by 45% in an A/B comparison using a word budget.
  • Directed and reviewed Claude Code while writing 750+ automated tests across the backend, LLM pipeline, and frontend. Every merge went through senior review.
Read case study →

MathGPT

May 2026 – Aug 2026

Software Engineer Intern, AI (Part-Time)

  • Built an AI pipeline that turns a calculus problem into a worksheet, flashcards, and a solution walkthrough. An independent critic re-solves the problem and stops the run when answers disagree.
  • Made 1,985 templates from three textbooks usable in MySQL by converting their math notation, with 98% of answers converting cleanly.
  • Delivered an internal review app with source tracing and reviewer feedback, backed by 1,000+ automated tests. Generated content was handed to MathGPT's engineering team for integration.
Read case study →

Vardhman Infotech

Dec 2024 – May 2025

Software Engineer Intern (Part-Time)

  • Migrated a Python inventory system serving 1,500+ retail locations from MySQL to Access to meet the client's offline, zero-infrastructure requirement. Refactored its database layer into a metadata-driven architecture.
Architecture and migration details

Reworked a 394-column schema across 19 tables and 700+ queries across 43 files. A configuration-driven schema provisioner created and updated tables across seven Access files, replacing a 73-function MySQL database layer.

Selected Work

More Projects

Skills

Languages

  • Python (used at Header · RAG search · Stock Analyzer)
  • TypeScript (used at Header · MathGPT)
  • JavaScript (used at VocabLearn · ExpenseSplitter)
  • Java (used at NYU coursework)
  • C (used at NYU coursework)
  • SQL (used at Header · MathGPT · Vardhman)
  • C# (used at Swordfight)

Backend & Data

  • FastAPI (used at Header · RAG search)
  • Flask (used at Stock Analyzer)
  • Node.js (used at VocabLearn · ExpenseSplitter)
  • Express (used at VocabLearn · ExpenseSplitter)
  • PostgreSQL (used at Header)
  • MySQL (used at MathGPT · Vardhman)
  • MongoDB (used at Stock Analyzer)
  • REST APIs (used at Header · VocabLearn)
  • JWT/session auth (used at VocabLearn · Stock Analyzer)
  • Schema migrations (used at Header)

Frontend

  • React (used at MathGPT · RAG search)
  • Next.js (used at MathGPT)
  • React Native/Expo (used at Header)

AI & Data Engineering

  • LLMs (OpenAI, Anthropic, Gemini, Ollama APIs) (used at Header · MathGPT · RAG search · VocabLearn)
  • RAG (used at RAG search platform)
  • LangChain (used at RAG search)
  • ChromaDB (used at RAG search)
  • Pandas (used at NYU coursework)
  • NumPy (used at NYU coursework)

Testing & DevOps

  • Pytest (used at Header)
  • Vitest (used at ExpenseSplitter)
  • Mocha (used at VocabLearn)
  • Docker (used at Stock Analyzer)
  • Git (used at every project)
  • GitHub Actions (used at Stock Analyzer · this site)
  • CI/CD (used at Stock Analyzer · this site)
  • Render (used at VocabLearn)
  • Agile/Scrum (used at MathGPT · VocabLearn)
  • AI-assisted development (Claude Code) (used at Header · MathGPT · this site)

About

I'm a CS major with a math minor at NYU (3.93 GPA), graduating in Spring 2027. I spent this summer interning at Header and building an AI case-study pipeline at MathGPT.

The projects I've enjoyed most had awkward constraints: an inventory system that had to run with no infrastructure at all, math study tools that need checks on AI-generated answers, and a ten-person game team sharing files that don't merge. I like turning those constraints into practical engineering decisions.

I'm looking for new grad software engineering roles starting Summer 2027. If you're building something in that space, I'd love to talk.

Get in touch
Hitaansh Jain in front of the lower Manhattan skyline at night