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 AI/ML, software engineering, 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 am focused on advancing AI through software, algorithms, and math. I hope to understand the depth of AI technologies and use it in meaningful projects.
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
AI/ML
Java
Python
C/C++
Rust
JavaScript
TypeScript
HTML/CSS
React.js
Node.js/Express
Next.js
Django
Flask
Tailwind CSS
Tensorflow
PyTorch
OpenCV
Chakra UI
Material UI
shadcn
Framer Motion
Machine Learning
MongoDB
MySQL
PostgreSQL
Firebase
Docker
Supabase
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
ML Researcher
Aresty Research Center - May 2025 to August 2025
Developing predictive ML models using 50,000+ satellite and glider samples at Rutgers Artificial Intelligence and Data Science Lab (RAD), implementing 9+ algorithms including ResNet, CNN, XGBoost to optimize F1 score and ROC-AUC for marine mammal detection. Engineered comprehensive ML pipeline using PyTorch, TensorFlow, and scikit-learn with stratified sampling, SMOTE oversampling, and 10-fold cross-validation to handle imbalanced datasets and spatial autocorrelation challenges. Designed statistical models incorporating 10+ oceanographic variables (depth, salinity, temperature, chlorophyll-a, SST) to assess biodiversity-economic tradeoffs using satellite and autonomous glider sensor data. Reviewing academic papers weekly to enhance model architecture and ecological understanding, adding 2+ variables to current dataset and performing preprocessing on 42,000 raw samples with strategic missing data imputation
Software Engineer
VR Brothers LLC - June 2024 to May 2025
Built an autonomous vendor monitoring system tracking 25+ suppliers using BeautifulSoup web scrapers and SQLAlchemy data pipelines. Assisted in building AI scanning system using C++ that auto-generated invoices in QuickBooks, reducing processing time by 70%. Assisted in building route optimizer using Python and optimization libraries targeting 10–15% delivery cost reduction.
Software Developer
HackRU - August 2024 to March 2025
Implemented 5+ UI components for a platform serving 450+ registered users. Resolved 2+ frontend bugs, enhancing overall user experience. Developed an interactive dashboard using Flask, MongoDB and React to visualize and analyze data for 450+ registered users, incorporating data-driven insights through dynamic graphs and visualizations.
AI 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.