My Projects

Real projects I've built and deployed. From education platforms serving thousands of METU students to AI-powered matching systems and business solutions.

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EDUCATION

Hocam Class

Comprehensive education support system for METU students with guides, resources, and community projects since 2021. One of the base systems of the university.

FastAPIMongoDBVue 3Nginx
380
emails
1000+
users
Visit Site
Mission Stopped
DATING

Senlik Buddy

AI-powered matchmaking platform for METU students. Machine learning aided matching mechanisms with potential date scoring using large language models.

PythonFastAPIMongoDBMachine LearningDeepSeek LLM
2600+
applications
551
users
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Live
BUSINESS

Hocam Kariyer

AI-powered career platform for the Turkish market combining job matching, AI CV analysis, and academic intelligence. Production-ready platform targeting Turkish professionals.

FastAPINext.jsMongoDBOpenAI APITypeScript
11+
features
Production
users
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Live
BUSINESS

Bültenim AI

AI-powered Official Gazette (Resmi Gazete) newsletter platform. Analyzes daily Official Gazette content, filters it by profession, and delivers personalized digests to subscribers.

FastAPICeleryRedisMongoDBNext.js
Resmi Gazete
projects.metricSource
AI Digest
projects.metricDelivery
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BUSINESS

Ürünlü Altınbeşik

Promotion site for the village of Ürünlü and Altınbeşik Cave in Antalya, Turkey. A multilingual tourism platform introducing the village and its natural heritage to the world.

Next.jsFastAPIMongoDBi18n
9
projects.metricLanguages
Antalya
projects.metricRegion
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Live
BUSINESS

YeniZelanda

Community platform for the Turkish expat community in New Zealand. Combines a web app, a React Native mobile app, and a WhatsApp bot for community Q&A, listings, and local resources.

Next.jsFastAPIMongoDBReact NativeWhatsApp Bot
New Zealand
projects.metricRegion
Web + Mobile
projects.metricPlatform
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BUSINESS

Digital Card Websites

Portfolio of digital card websites built to demonstrate frontend versatility across different stacks. Multiple professional websites for different clients.

FastAPIReactMongoDBTypeScriptpnpm
Live
THESIS

MSc Thesis: Cell Type Annotation with NLP & ML

Next-generation Cell Type Annotation: Integrating NLP and ML Techniques for Enhanced scRNA Classification. Research focused on gene text embeddings with autoencoders.

PythonNLPMachine LearningBioinformaticsScanpyAutoencoders
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Technical Expertise

"Key is getting information from data" - My approach to building intelligent systems

5 Years Python

FastAPI, ML libraries

1.5 Years SWE

Full-stack development

ML & NLP

Text embeddings, bioinformatics

Data Analysis

Statistics, visualization

Orçun Sami Tandoğan - Python Developer & Data Scientist