Available for hire
Building full-stack products and applied ML systems.
I build full-stack products with React, Next.js, Node.js and React Native, while researching machine learning and NLP with Python, BERTurk and explainable AI. Currently pursuing an M.Sc. in Computer Engineering and building ReHeal, a digital health startup.
const engineer = {
focus: 'useful products',
stack: ['Next.js', 'Supabase'],
research: 'NLP + XAI',
shipping: true
};01 / about
I am a Computer Engineer focused on full-stack product development and applied machine learning. I work across TypeScript, React, Next.js, Node.js, React Native and Python, with current research in BERTurk, NLP and explainable AI. I am pursuing an M.Sc. in Computer Engineering at Trakya University and building ReHeal, a digital health startup.
02 / selected work
featured / ReHeal
A digital health product with a React Native patient app and a Next.js clinic platform. Includes QR onboarding, lab report OCR, medication adherence, patient health trends, RBAC, PostgreSQL RLS and Supabase Auth, Realtime and Storage.
stack / metrics
A BERTurk-based binary classifier for Turkish crisis tweets with hybrid NER/Regex location extraction and explainability analysis. Evaluated on 11,268 samples with 5-fold cross-validation, reaching 92.26% ± 0.81 F1.
project
A machine learning recommendation engine using Kariyer.net data, NLP, TF-IDF and KNN. Built with Python, BeautifulSoup and Django as a graduation project in a 6-person team.
project
Interactive algorithm and data structure visualization platform. Built with Next.js and modern React architecture to help developers understand complex CS concepts visually.
project
A serverless video compression tool that processes 4K video entirely in the browser (client-side) using WebAssembly. Features real-time performance metrics and resolution scaling.
project
A productivity extension designed to speed up job applications by 50%. Features a dynamic context menu manager for inserting custom text snippets instantly.
project
A machine learning system that parses resumes and matches them with real-time job listings using NLP (TF-IDF, Cosine Similarity).
project
Enterprise-level backend starter kit featuring layered architecture, advanced security (Helmet, Rate Limiting), and automated Swagger documentation.
project
A scalable micro-blogging platform backend built with Flask and MongoDB. Features include JWT authentication, nested comment structures using MongoDB's document model, and a smart voting system with aggregation pipelines for performance.
project
A comprehensive admin panel for managing products and analytics. Built with React, TypeScript and modern UI principles.
03 / timeline
Founding Engineer
Building a digital health startup across a React Native patient app, a Next.js clinic platform, and PharmaGuard AI. Working with Expo, Supabase, PostgreSQL RLS, Gemini Vision, and TypeScript rule engines.
Volunteer Full-Stack Engineer / Mentor
Volunteer contributor and mentor for university projects. Helped migrate cPanel/MySQL systems to Supabase PostgreSQL with RLS and supported the team with Git and Agile practices.
JavaScript Developer
Worked on production React and Next.js applications, including Digiroom. Contributed to SSR, dynamic routing, Supabase RLS, Firebase Cloud Functions, and e-commerce and booking synchronization.
Software Engineer Intern
Designed a micro-blogging platform using Vue.js and Flask. Managed CI/CD pipelines.
Frontend Developer Intern
Built an internal notification center using React.js and Redux. Led a team of 3 interns.
Frontend Developer Intern
Migrated the company’s website from WordPress to React.js. Contributed to a React Native mobile application for local kids' events.
04 / learning
February 2026 - Present
Trakya University
Relevant coursework: Machine Learning, Text Mining, Cognitive Technologies, Scientific Ethics. Projects include a BERTurk crisis-tweet classifier with hybrid NER/Regex location extraction (11,268 samples; 95.75% accuracy), a CrowdStrike/Microsoft crisis analysis, and an ADS-B flight anomaly detector using Isolation Forest, SHAP, FastAPI and Next.js.
Graduation: Jan 2024
Trakya University
Graduation Project: AI-Powered Career Recommendation System, built with Kariyer.net scraping, TF-IDF, KNN and Django in a 6-person team.
05 / contact
For new opportunities, mobile/web architectures, and projects, feel free to get in touch.
berkayozgun001@gmail.com