About Me
I am a current student at Stony Brook University studying Computer Science and Applied Mathematics & Statistics. I am an Honors college student and on the CS Honors track pursuing a BS.
I enjoy creating full-stack applications and have current interest in learning more about AI, Machine Learning, Computer Vision, and Cloud Computing. I'm apart of the Stony Brook Computing Society E-Board as a representative. This past summer I did an internship at Get Talky where I developed full-stack features for an AI Conversation Monitoring Platform. I am currently working on Research on Advanced Programming Methods under Prof. Annie Liu.
Now, getting away from the technical stuff, I enjoy rock climbing (V8 Highest), playing volleyball, calisthenics, and playing guitar. I also used to be addicted to video games (Starting in 3rd grade with CSGO). The past couple years I mainly played Valorant, Fortnite and League of Legends, but I've also played many other games. In Valorant I reached immortal and in League I reached Emerald in both SR and TFT. My greatest achievement in games though is earning over $500 from fortnite competitive tournaments.
Tech Stack
Python
Primary language for data science, backend, and automation projects
JavaScript/TypeScript
Core for front-end and full-stack development
Java
Strong OOP and algorithmic foundation
HTML5/CSS3
UI design, responsive layouts, and styling
Experience
My professional journey in software engineering and research.
Software Engineering Intern
Get Talky
Developed and deployed full-stack features for an AI conversation monitoring platform. Implemented a dynamic comment tracking system with metadata and CSV export capabilities used across 100+ client conversations. Designed RESTful APIs and optimized data flow to reduce front-end refresh latency by 25%.
Collaborated in Agile sprints to enhance schema design, debug endpoints, and automate QA workflows with AskUI to improve efficiency.
Undergraduate Researcher
Advanced Programming Methods & Applications Lab, SBU
Researching algorithm optimization and computational efficiency with a focus on reducing time complexity for real-world data problems. Designing and testing provably correct solutions under faculty mentorship to improve performance in complex algorithmic pipelines.
Projects
A showcase of my recent projects showcasing full-stack development, machine learning, and data science expertise.
Course Planning Visualizer & Professor Insight Chatbot
View on GitHubContributors: Eduardo Lozano, Karina Lam, Timothy Liang, Sam
Developed an interactive prerequisite visualization tool that helps computer science students plan course sequences. Implemented dynamic D3.js graphs that color-code courses based on completion status. Built a data pipeline to scrape RateMyProfessors reviews and served them via an Express API. Integrated a GPT-powered chatbot to provide real-time professor and course insights within a responsive React interface.
Breast Tumor Classifier Web App
View on GitHubContributors: Harry Martin
Built a deep learning web app that classifies breast tumor histopathology images using a fine-tuned MobileNetV2 model. Integrated a FastAPI backend for real-time inference and a Next.js frontend for seamless image uploads, model predictions, and session tracking. Optimized user flow and model accuracy for smooth deployment in a browser-based environment.
Financial Sentiment Analysis Dashboard
View on GitHubCreated an AI-powered financial dashboard that performs sentiment analysis on Reddit and Yahoo Finance discussions. Implemented FinBERT NLP models for financial tone detection and visualized results using interactive Plotly charts and KPI metrics. Optimized backend caching and API requests to ensure fast, responsive data visualizations.
HealthBot AI – Comprehensive Health & Wellness Platform
View on GitHubContributors: Charles Cheung, Harry Martin
Developed during HopperHacks, HealthBot AI is an interactive healthcare platform that combines mental and physical wellness tools into one intuitive web experience. Users can schedule medical appointments through an interactive calendar, chat with an AI healthcare assistant for symptom guidance and treatment recommendations, and even log daily journals using text or voice input — all stored securely with database-backed persistence.
Integrated a multilingual, voice-enabled chatbot powered by the OpenAI API to support accessible healthcare conversations. Added a guided breathing module with customizable intervals and visual feedback to encourage mindfulness and stress relief. Collaborated as a beginner team to design the full-stack architecture, overcoming initial front-end and integration challenges while learning API integration, UI/UX design, and Git-based collaboration.
Contact Me
Email: btmoy1121@gmail.com
Discord: btmoy1121