About Me
Hi! I'm Zeynep, a final-year Computer Science student at Stony Brook University. I'm an aspiring Software Engineer who loves creating intuitive, functional applications that make technology feel more human. My interests span software development, human-computer interaction, and data-driven problem solving
My Experience
Brookhaven National Laboratory
- Built a React + TypeScript visualization interface for adaptive AI agents in the bluesky-adaptive scientific computing framework used by research scientists to monitor and steer live experiments.
- Architected 14 reusable MVVM components including Plotly heatmaps, cluster comparison panels, and dynamic visualization modes to inspect agent decision states in real time.
- Implemented client-side K-Means clustering using TensorFlow.js and ScikitJS within a visualization framework architected to support multiple clustering models, enabling interactive exploration of high-dimensional data without backend computation.
Colle McVoy
- Built a Python analytics pipeline using Pandas and NumPy that ingested and processed localized Google Trends data across multiple geographic markets.
- Applied Holt’s Linear Trend forecasting to project future search demand and support long-term planning.
- Conducted statistical correlation analysis to isolate the key drivers of brand engagement across markets, translating raw search signals into data-driven strategy recommendations delivered to clients.
Break Through Tech
- Selected from over 3,000 applicants for Cornell Tech’s applied AI fellowship covering the full machine learning lifecycle from data preprocessing and feature engineering through model evaluation and deployment.
- Built a 7-class NLP genre classifier on 1,900 book reviews, applying an analytical approach to feature engineering and model selection (TF-IDF + GridSearchCV), achieving a 79% balanced accuracy.
- Structured the classifier as a modular Python package with clean separation of preprocessing, feature engineering, modeling, evaluation, and prediction, enabling independent iteration on each pipeline stage.
Stony Brook University (BEAR VIP Research Team)
- Developed and secured backend services for a wearable technology project using the MERN stack, including user authentication endpoints with cookie-based security policies, while collaborating with a cross-functional team.
- Produced UI/UX wireframes in Figma to clarify user workflows and support front-end development.
Projects
HTTP Server & Caching Proxy (From Scratch)
March 2026
- Implemented a multithreaded HTTP/1.1 web server and caching proxy using raw Python sockets with no external libraries, handling concurrent connections via daemon threads.
- Maintained separate threading locks for the in-memory cache and live request statistics, preventing contention between cache access and metrics tracking.
- Exposed a built-in JSON metrics and telemetry endpoint and hardened file serving with path sanitization to prevent directory traversal attacks across 12 supported MIME types.
Social News Aggregation Platform | Full-Stack Web Application
February 2025 - May 2025
- Built a full-stack social platform with recursive comment threads, per-user vote tracking, and community posts using a React frontend over a Node.js and Express RESTful API.
- Designed a MongoDB schema with Mongoose validation for nested comment trees and per-user voting, and developed Jest tests to validate recursive deletion, API endpoints, and authenticated vs. guest user flows.
- Secured authentication using Bcrypt hashing and HttpOnly cookies to defend against XSS and session hijacking.
Skills
Languages
JavaScript
Java
C
C++
Python
HTML/CSS
TypeScript
Frontend & Backend
React
Node.js
Express
REST APIs
MERN Stack
DevOps & Tools
Git
GitHub
CI/CD
Podman
Docker
Visual Studio
Google Colab
Databases & Libraries
MongoDB
SQL (MySQL)
Pandas
NumPy