Software Engineer

Neel Gundlapally

Computer Science @ UT Austin. I build full-stack products and machine-learning systems — most recently an ML recommendation platform at Paycom serving 10K+ daily users.

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01 / About

I'm a Computer Science and Business graduate from UT Austin who likes building things end to end — from real-time ML pipelines and research code to the interfaces on top of them. I care about the details: clean abstractions, fast feedback loops, and software that feels good to use.

Education
B.S. Computer Science, Business minor
UT Austin · May 2026
Based in
San Francisco, CA
Focus
Full-stack · ML systems · Distributed data
Currently
Open to full-time SWE & ML roles

04 / Work

Selected projects

All on GitHub

02 / Stack

Tools I build with

Languages

  • Python
  • TypeScript
  • JavaScript
  • Go
  • C++
  • C
  • Java
  • SQL

Frontend

  • React
  • Next.js
  • Tailwind CSS
  • HTML / CSS

Backend

  • FastAPI
  • Node.js
  • REST
  • WebSockets

ML / AI

  • PyTorch
  • LangChain
  • MCP
  • LLM agents
  • PINNs

Data / Streaming

  • Apache Flink
  • Kafka
  • MySQL
  • SQLite

Cloud / Tools

  • AWS
  • Docker
  • Linux
  • Git
  • Firebase

03 / Experience

Where I've worked

  1. May — Aug 2025

    Dallas, TX

    Software Engineer Intern · Paycom

    • Led 6 interns to ship a production ML recommendation system for the client-facing learning platform, lifting course discovery 10%.
    • Built a real-time two-tower + MLP reranker pipeline (75% hit rate, 0.4 MRR), served via FastAPI + React to 10K+ daily users.

  2. 2024 — Present

    Austin, TX

    Undergraduate Research Assistant · Oden Institute · UT Austin

    • Built a parallelized pipeline automating soft-tissue deformation simulations, raising throughput 40%.
    • Developed a physics-informed neural network (PINN) that cut solver convergence time ~25% while holding 1% relative error.

  3. May — Aug 2024

    Austin, TX

    Software Engineer Intern · Grubtok

    • Streamlined the async video-upload flow in Flutter, cutting user clicks 40%.
    • Shipped cross-platform profile sharing via deep linking and state management, lifting engagement 10%.

  4. May — Aug 2024

    Austin, TX

    Robotics Researcher · Autonomous Mobile Robotics Laboratory

    • Ported a Python API to C++ for ~10% better performance through tighter memory management.
    • Refactored the Boston Dynamics Spot codebase, cutting code volume 20% and improving maintainability.

05 / Contact

Let's build
something.

Always open to new opportunities, internships, and interesting projects. The fastest way to reach me is email.

Say hello