Dhruv Vaghela

Hello, I'm Dhruv. I'm a full-stack developer with 3+ years of experience. I enjoy building sites & apps. My focus is Next.js and LLMs.

About me

Originally from Mumbai, India, I'm now embracing the vibrant life of New York City, which I absolutely love! I'm currently pursuing my Master's degree in Computer Science at the Stevens Institute of Technology. Before this, I gained valuable experience working for two years in a service based firm AccionLabs and a year later at Qualcomm's GPU Performance Team. My passion for programming is more than just about writing code; it's about how it shapes our cognitive abilities and thought processes.

Outside of programming, my life is an adventure in itself. I've been an active sports enthusiast, participating in track & field events as a sprinter, mastering the art of archery, and indulging in horse riding. Football is my go-to sport, and I'm an avid FIFA player – challenge me if you dare, but be prepared, I'm quite the competitor!

I'm an adrenaline junkie at heart, always seeking thrilling experiences and living life on the edge. When it's time to unwind, I find joy in cooking, especially whipping up delicious Indian meals. That's a brief window into my world – a blend of intense tech passion, love for sports, and a zest for life!

My projects

UniGrow

UniGrow is a streamlined web app for university students, offering an interactive campus guide, detailed course insights, and a platform to connect with seniors for guidance, all through a user-friendly chat interface.

  • NextJS
  • MongoDB
  • Tailwind
  • Redis
  • Heroku

Share and Savor

Share and Savor is an app offering discounted meals from campus- area restaurants and cafes, specifically designed for students.

  • React
  • NodeJS
  • Express
  • MongoDB
  • TailwindCSS

CrackThatInterview

A web application for mock interviews, featuring video conferencing, real-time notifications, and adaptive tests for technical domain knowledge assessment.

  • React
  • MongoDB
  • Tailwind
  • NodeJS
  • Express

Automated Traffic Signal

Developed a neural network using TensorFlow to detect the number of cars at crossroads, integrating with YOLO(v4) for vehicle detection and classification.

  • Angular
  • Tensorflow
  • Python
  • AWS EC2

My skills

My experience

Contact me

Please contact me directly at dvaghela@stevens.com or