Connecting Odds

Sheetal Jain

Software Engineer specializing in Java Backend and Distributed Systems. Researching Energy-Efficient AI. Skilled in Kafka, AWS, Spring Boot and Agentic AI

Graduate Research Assistant

California, United States2+ years
Open to work

About

I'm currently pursuing my Master's in Computer Science at SUNY Buffalo. I wanted to understand AI beyond just using it, so that's my main focus, along with scalable systems and secure architecture.

Before this, I worked as a Software Engineer in fintech for 2.5 years. I built and scaled backend systems used by people around the world (across 5 markets) - writing reliable services, modernizing old systems, strengthening authentication and security, integrating third-party platforms, and improving performance and deployment workflows. Most of my work was in Java.

Right now, I'm also doing research on deep learning - looking at where the energy actually goes when you train a model on a GPU. I like building things people actually use. I made DealFlow, a platform a car dealership uses every day. It handles 300+ leads a month and replaced a process that used to take two hours by hand.

Outside of work, I mentor. I've helped 100+ students one-on-one and built a community of 30K+ followers - mostly people early in their tech careers trying to figure out their next step.

What I'm working toward

My research measures which parts of a deep learning model consume the most energy during training and inference, so we know where optimization efforts should focus.

Open to

  • Full-time opportunities
  • Part-time roles
  • Networking
  • Freelance projects

Looking to connect with

  • Founders
  • Recruiters
  • Hiring managers

Connect with me about

  • Technology