| Project | Stack | Description |
|---|---|---|
| AgriScan | FastAPI · React · YOLOv11 | Tomato leaf disease detection — 91.35% F1 score |
| MissingLink | FastAPI · React · CTGAN | Synthetic tabular data generation with deep learning |
| RevenueRadar | FastAPI · React · Groq | B2B lead scoring — hybrid rule-based + AI system |
| ClientFlow | Next.js · Firebase · Groq | Agency client portal with AI-powered update translation |
| ERP Demo AI | React · Firebase · Gemini | ERP demo with AI-driven narrative reports |
| Xelay | React Native · Expo · Firebase | Personal finance app with conscience accounting |
| YuLaF | Chrome Extension · JS | YouTube video language filter extension |
| AppleDisease | Python · YOLOv11 · Jupyter | Apple leaf disease classification — 99.18% accuracy |
"Building bridges between technology and psychology, transforming agricultural challenges into AI-powered solutions"
I'm a Computer Vision and AI Engineer at ALPROBOTICS, where I'm leading the transition of agricultural UAV prototypes to production-ready solutions. As the sole software developer at this 5-year robotics startup, I develop disease detection systems achieving 91.35% F1 score using YOLO-based deep learning.
🎯 Current Focus:
- 🌾 Developing autonomous agricultural solutions (spraying optimization, disease detection)
- 🚁 Leading UAV software development from prototype to serial production
- 👥 Building and mentoring a software team from scratch
- 🤖 Integrating AI with hardware for real-world agricultural applications
🏆 Key Achievement: Founded AIydın Technology Summit, leading 45 volunteers to bring together 1000+ participants and establish university-industry collaborations.
📖 More about my journey...
- 🎓 Computer Engineering student at Aydın Adnan Menderes University (GPA: 3.47)
- 🚀 Former Software Engineer at PUSAY Aviation - Teknofest Fighting UAV competition
- 💡 Pre-Incubation Entrepreneurship Student at ADU Technopark
- 🎮 Passionate about gamification and human-centered AI projects
- 🌱 Currently exploring: Computer Vision, NLP, and Advanced Machine Learning
| 🎯 Achievement | 📊 Impact | 🏅 Recognition |
|---|---|---|
| AIydın Technology Summit | 1000+ participants | First university-wide tech event |
| UAV Disease Detection | 91.35% F1 Score | Production deployment |
| Teknofest Competition | 92.78% accuracy | Team leadership |
| Entrepreneurship Program | 25+ students trained | ADU Technopark |
| Community Leadership | 850+ members | IEEE & Gamification |
- 🔭 Current Project: Scaling agricultural AI from prototype to production at ALPROBOTICS
- 🌾 Technical Focus: Optimizing YOLO models for edge deployment on UAV hardware
- 💡 Innovation: Developing novel disease detection algorithms with 91.35% F1 score
- 📦 MLOps & Pipeline: Building robust ML pipelines for production deployment
- 🎯 Edge AI: Optimizing models for real-time inference on embedded systems
- 👥 Team Management: Leading and scaling software development team
- 🤖 Advanced CV: Exploring Vision Transformers and multi-modal AI approaches
- 👯 Computer Vision Projects: Agricultural applications, drone technology
- 🌾 AgTech Innovations: Precision agriculture, sustainable farming solutions
- 🎮 Gamification Projects: Educational platforms, engagement systems
- 💬 Open Source: Contributing to YOLO and OpenCV communities
- YOLO: Implementation, optimization, custom training
- Agricultural AI: Disease detection, yield prediction, drone applications
- Event Management: Community building, tech summits, volunteer coordination
- Gamification: Engagement strategies, behavioral psychology in tech
I'm always excited to discuss AI, computer vision, and innovative tech solutions. Whether you're interested in collaboration, have questions about my projects, or just want to chat about technology, feel free to reach out!
⭐️ From EmrahFidan | Building the future, one commit at a time 🚀