A former intern at both CRICO and Volta Labs, and an avid follower of the advances within the life sciences, wearable health monitoring, and data science for healthcare. After finishing my undergraduate B.S. in Computer Science this May 2026, my one goal is to apply my skillset where I can make the best impact alongside people who are just as passionate as me!
After summer 2026 I will pursue an M.S. in CS at UMass Amherst with exp. grad. May 2027.
(Link) Gesture recognition to control a drone mid-flight
ESP32, C/C++, Python, Scikit-learn, ESP-IDF
Integrated IMU and ESP32-S3 micro controller with an SVM model to predict 5 distinct hand-gestures at 95% accuracy from real-time signals and send commands to a drone accordingly
(Link) U-commerce: Full-stack e-commerce platform for solicitation of student services and products
React, PostgreSQL/Supabase, ExpressJS, NodeJS, SQL
Developed full-stack application for 5-college (Pioneer Valley) students to centralize the need for students to buy and solicit products such as used furniture, class materials, housing, homemade products, and student businesses. Mimicked agile-based developed in a team of 4 while adhering to standard software design and git best practices.
(Link) Evaluation and Deployment of 6 Machine Learning Models to predict loan default:
Scikit-learn, numpy, pandas, streamlit, joblib, Jupyter Notebook, Python
Alongside Edouard Mason, I developed this project while mimicking agile-based development and using git best practices. My responsibilities were to determine data integrity through EDA, then I evaluated the performance of 3 basic and 3 advanced models by measuring accuracy and training time before and after hyperparameter tuning. I then prepared models for deployment by creating pipeline with appropriate transformers, scalers, preprocessing, and optimal hyperparameters, then stored fitted pipeline using streamlit.
Shaebae.blog website hosted on a Raspberry Pi 5
Vue, PostgreSQL, ExpressJS, Node.js, TailwindCSS, Apache HTTP server
Created self-hosted website developed to share articles from an Apache HTTP server using MEVN stack while simulating git best practices and sprint-based development
- B.S. in Computer Science, UMass CICS class of '26
- Pursuing M.S. in Computer Science 2026-2027
- Python, Javascript/Typescript, C/C++, SQL, Java, R, Html/CSS
- (frontend) Vue, React, NextJS, Vite, TailwindCSS
- (backend) ExpressJS, NodeJS, PostgreSQL, ApacheHTTP Server
- Scikit-learn, joblib, streamlit, Numpy, Pandas, matplotlib, Pytorch, Deep Graph Library (DGL)
- Pandas, Numpy, Asyncio, Pydantic, Matplotlib, pyserial
- Jupyter Notebook, R Studio, LaTeX, ESP-IDF, VS-code, Linux systemd library, GNU standard library
Some default github readme.md stuff that I might use later:
- 🔭 I’m currently working on ...
- 🌱 I’m currently learning ...
- 💬 Ask me about ...
- 📫 How to reach me: ...