Akhil Kota

About

akhilkota15@gmail.com (Akhil Kota) — Mon, 01 Jan 0001 00:00:00 +0000

I’m Akhil Kota. I study CS and Data Science at Purdue (class of 2027). I spend most of my time on ML research or building software.

I TA’d CS 240. I’ve been on the Dean’s List, and I’ve gotten research recognition through OUR and SURF.

Contact

akhilkota15@gmail.com (Akhil Kota) — Mon, 01 Jan 0001 00:00:00 +0000

Open to research, internships, and product roles. Email is best.

Email akhilkota15@gmail.com LinkedIn linkedin.com/in/akhil-kota GitHub github.com/akkota

Experience

akhilkota15@gmail.com (Akhil Kota) — Mon, 01 Jan 0001 00:00:00 +0000

Research labs, startups, and a few industry projects.

Feb 2026 - Present

Machine Learning Researcher

Li Group, Prof. Can Li, Purdue ChemE

Working on neural methods that use difference-of-convex programming for hard optimization problems. I work on the PyTorch training code, including custom autograd, losses, and how we pick anchors. Goal is a conference paper.

Projects

akhilkota15@gmail.com (Akhil Kota) — Mon, 01 Jan 0001 00:00:00 +0000

A selection of things I’ve built—from study tools and competition platforms to computer-vision experiments and Discord bots.

01 Project

TickStudy

A full-stack study companion that brings timers, task lists, habit tracking, and study statistics into one place. It includes both regular and Pomodoro sessions, so progress is easier to see and keep up with.

Research

akhilkota15@gmail.com (Akhil Kota) — Mon, 01 Jan 0001 00:00:00 +0000

A few ML projects from labs and industry.

Hard nonconvex optimization with neural nets

Difference-of-convex neural optimization

Li Group, Purdue ChemE, Feb 2026 - Present

Models that use DC programming inside the network, with custom PyTorch autograd and better anchor selection.

Resume

akhilkota15@gmail.com (Akhil Kota) — Mon, 01 Jan 0001 00:00:00 +0000

Skills

akhilkota15@gmail.com (Akhil Kota) — Mon, 01 Jan 0001 00:00:00 +0000

What I use most often.

Languages

Python, Java, C, C++, JavaScript, TypeScript, SQL, HTML, CSS

Machine Learning

PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, Cellpose, CVXPY, Pandas, NumPy, OpenCV, Matplotlib, Seaborn, Plotly, Dash, Streamlit

Web / Apps

React, React Native, Node.js, Express.js, Flask, REST APIs, OpenAI API