cs student / texas a&m

Chinmay
Mangalwedhe

CS student at Texas A&M working on machine learning, cybersecurity, and full-stack apps.

working with _

01

about

A bit about me outside the resume bullets.

I'm a CS student at Texas A&M. Most of my time goes into machine learning, cybersecurity research, and building web apps people actually use.

Right now I'm doing malware research at A&M and helping maintain the Cybersecurity Club's site and Discord bot (100+ members). I've also led a 30-person team at an HPE program and was president of my CS club. I speak English, Hindi, and Kannada.

I care about getting better at ML, security, and building things that actually work. Outside of school and code: working out, hanging out with friends and family, and sharpening my skills.

02

skills

What I use day to day. Or open the terminal and poke around.

skills.sh
~/chinmay $ 

try: help · neofetch · projects · skills all

03

work

Research, club work, and a summer internship.

completedVisa
May 2026 – Aug 2026 · Austin, TX
Software Engineering Intern
  • Built a production agentic pipeline to reduce issuer onboarding times to the Visa Accept platform, supporting 80+ users
currentTexas A&M Cybersecurity Club
Sep 2025 – Present · College Station, TX
Technology Committee · Full-Stack & Security Engineer
  • Keeping the club's Next.js site running for 100+ members
  • Helping with a Discord bot + REST API in Python 3.12
  • OAuth, database stuff, and deployment configs
currentTexas A&M University
Aug 2025 – Present · College Station, TX
Undergraduate Research Intern
  • Building ML models that generate YARA rules from malware samples
  • Using NLP and pattern recognition to improve classification
  • Working with faculty on automated threat detection
Hewlett Packard Enterprise
Mar 2025 · Spring, TX
Certificate Program · Project Management Team Lead
  • Led project management in a rapid-response simulation
  • Directed 4 teams of 30 members under tight deadlines
  • Delivered MVP using Python, in-house APIs, and GitHub
04

projects

Click a row for screenshots and details.

01

StockVision

LSTM model that took prediction accuracy from 47% to 92%, with login and a live dashboard.

Python · LSTM · TensorFlow
02

Recruiter Performance Analyzer

Random forest model for analyzing performance across 127 recruiters.

Python · Random Forest · scikit-learn
03

Sentiment Analysis Dashboard

BERT model for browsing sentiment in Yelp reviews.

Python · BERT · NLP
04

Final Exam Exemption Website

Django site with grade tracking and student logins for 87 students.

Django · Python · SQLite
05

Handwritten Digit Recognition

Neural net on MNIST — about 97–98% accuracy.

Python · Neural Nets · MNIST
06

Connect Four Minimax AI

Minimax AI that can beat a few of the bots I tested it against.

Java · Minimax
07

Sudoku Solver

GUI that solves Sudoku boards with backtracking and shows each step.

Python · Backtracking · Tkinter
08

Fractal Viewer

Java app for zooming around Mandelbrot and Julia sets.

Java · Graphics
09

Planet Simulator

Pygame sim of planetary orbits with basic physics.

Python · Pygame
05

contact

Want to get in touch?

Happy to talk about internships, projects, or anything ML / security related.