Welcome to my GitHub profile! I'm a passionate Full-Stack Developer & AI/ML Enthusiast with expertise in machine learning, data science, and building intelligent applications.
- 🎓 Computer Science enthusiast with a focus on AI, Machine Learning, and Data Science
- 💻 Experienced in building end-to-end applications from UI/UX design to backend systems
- 🤖 Passionate about facial recognition, emotion detection, and predictive analytics
- 🎯 Currently exploring RAG systems, LLMs, and modern AI architectures
- 📚 Continuous learner and advocate for clean, well-documented code
Languages: Python • JavaScript • Dart • C# • Java • HTML/CSS
AI/ML: PyTorch • TensorFlow • Scikit-learn • FAISS • ResNet • Transfer Learning
Backend: FastAPI • Flask • Django
Frontend: Flutter • React • HTML/CSS/JavaScript
Tools & Platforms: Jupyter Notebook • Git • Docker • Figma
- Facial Emotion Recognition (ResNet50) - Deep learning emotion detection using transfer learning on JAFFE & CK+ datasets
- AI Facial Emotion Recognition (Classical ML) - Traditional ML approach using HOG, LBP, and SVM
- Crime Hotspot Prediction - Predictive analytics using 2024 crime dataset
- RAG Knowledge Assistant - Lightweight retrieval-augmented generation system with FastAPI
- FocusMate - AI Study Companion - Flutter-based mobile app for focused learning
- APOD Explorer - NASA Astronomy Picture of the Day explorer with modern UI/UX
- UCLan App Prototype - Interactive university mobile app prototype designed in Figma
- Real-Time Temperature Regulation System - UML-designed system with Design by Contract and Java concurrency
- Task Manager - Interactive task management application
| Area | Projects |
|---|---|
| Emotion Recognition | ResNet50 Transfer Learning, Classical ML Approaches |
| Predictive Analytics | Crime Hotspot Prediction, Housing Price Detection |
| Full-Stack Development | Mobile Apps (Flutter), Web Apps, Backend Systems |
| UI/UX Design | Figma Prototypes, Interactive Prototypes |
| Machine Learning | Deep Learning, Transfer Learning, Supervised Learning |
| RAG & LLMs | Knowledge Assistants, Embeddings, Semantic Search |
✨ Exploring advanced RAG architectures for intelligent information retrieval
🎨 Creating polished UI/UX prototypes for real-world applications
🧠 Implementing state-of-the-art ML models for emotion recognition and prediction
- Advanced LLM fine-tuning and prompt engineering
- Scalable system design and microservices architecture
- Production-ready ML pipeline deployment
- 💼 Open to collaborations on AI/ML projects and full-stack development
- 🤝 Interested in internships and contract work
- 📧 Feel free to reach out for discussions about tech!
⭐ If you find my projects interesting, consider giving them a star!