Active Project
🚀 Dual Encoder for Semantic Search
Status: 🔵 Active - In Development
Description: A neural architecture designed for efficient semantic similarity comparison between queries and documents. This project implements a dual encoder model with in-batch negative sampling for information retrieval tasks.
Technologies: PyTorch, Transformers, FAISS, FastAPI
Features:
- Query and document encoding into shared embedding space
- Cosine similarity scoring for relevance ranking
- Scalable vector search with FAISS indexing
- REST API for deployment
Current Milestones:
- ✅ Model architecture design
- ✅ Training pipeline implementation
- 🔄 Hyperparameter optimization
- ⏳ Production deployment
Links:
- GitHub Repository (replace with actual link)
- API Documentation (replace with actual link)
Finished Project
✅ Mathematical Foundations for AI Course
Status: ✅ Completed - Delivered
Description: A comprehensive course covering essential mathematical concepts for artificial intelligence, including linear algebra, calculus, probability, and optimization techniques.
Technologies: Jupyter Notebooks, LaTeX, Python, NumPy, Matplotlib
Key Achievements:
- Created 12 interactive modules with 50+ exercises
- Developed visualization tools for matrix operations
- Built practical examples connecting math to ML algorithms
- Received 100+ student enrollments in first month
Deliverables:
- 📚 Course textbook with 200+ pages
- 🎥 Video lectures covering 15+ hours
- 💻 Code repository with working examples
- 📝 Assessment materials and solutions
Links:
- Course Materials (replace with actual link)
- GitHub Repository (replace with actual link)
Project Highlights
| Project | Status | Technologies | Timeline |
|---|---|---|---|
| Dual Encoder for Semantic Search | 🟢 Active | PyTorch, FAISS | 2025-2026 |
| Mathematical Foundations for AI | ✅ Completed | Python, LaTeX | 2024-2025 |