Hi, I'm Het!
I'm a student at Rutgers University-New Brunswick pursuing a bachelors of science in Computer Science and Data Science looking to graduate in December 2026. I am interested in the fields of software engineering, software development, full stack development, data science/data analysis, leveraging my background in Computer Science and Data Science.
About Me
Get to know me!
Hi, I am a Computer Science/Data Science student based in Monroe Township, NJ.
I expect to graduate from Rutgers University-New Brunswick in December 2026 with a Bachelors of Science in Computer Science and Data Science. I aspire to explore the realms of Software Engineering.
I believe that you should never stop growing and that's what I strive to do. I have a passion for technology and a desire to always push the limits of what is possible. I am excited to see where my career takes me and am always open to new opportunities.
My Skills
Java
Python
JavaScript
TypeScript
HTML/CSS
React.js
Node.js/Express
Next.js
Django
Flask
Tailwind CSS
Chakra UI
Material UI
shadcn
Framer Motion
Machine Learning
MongoDB
PostgreSQL
Firebase
Git
GitHub
Projects
ClientSync
ClientSync is a CRM with predictive analytics, using machine learning algorithms like K-means clustering, Random Forest, Gradient Boosting, and sentiment analysis for advanced customer insights. ClientSync is a responsive website with full user authentication, including signup, login, password recovery, a page for contact storage, email integration, and a dashboard with advanced data visualizations
NutriPal
NutriPal is a nutrition tracking tool that helps users manage their daily dietary goals by logging meals and providing personalized advice generated by GPT-4. Built with Flask, Python, and Tailwind, it integrates APIs for nutritional data and custom prompts, and uses Firebase for authentication, winning HackRU’s Spring 2024 hackathon in the health track.
Object Detection App
Image detection tool developed for identifying objects within images. Users can upload images, and the platform utilizes TensorFlow's COCO-SSD model to detect objects, displaying bounding boxes around detected items with their respective labels and confidence scores. I used ReactJS for the UI.
QuantTrade AI
QuantTrade AI is a stock predicting simulator which incorporates multiple stock trading strategies such as mean reversion, moving average crossover, RSI, LSTM, DQN (Reinforcement Learning) and Sentiment Analysis to optimize trading. It also retrieved the data for over 500 stock tickers to inform trading strategies.
Experience
Developer
HackRU - August 2024 to Present
Currently working on frontend issues for HackRU with the HackRU RnD team and working on a data science project where the statistics and graphs of information on registered users can be seen.
Software Engineering Intern
OurDate - January 2024 to May 2024
Helped develop and test AI-driver features that improve user experience and engagement on the platform. Worked with product engineering and design team to build an application. Designed questions and inputs to teach AI models, helping them generate accurate and relevant responses.
Developer Intern
VR Brothers LLC - June 2024 to August 2024
Contributed to the development of a accounting software for the company which consisted of tracking finances, invoices, orders and payments. Assisted in developing the front-end using Vite, React.js, and Material UI. Assisted in developing the back-end using Node.js, Express.js and MongoDB (for database schema and queries).