Self-taught ML engineer working with PyTorch, deep learning, and LLM architectures.
Currently building and experimenting with custom state space models and vision-language systems.
- Large Language Models (LLMs)
- State Space Models (SSMs)
- Vision-Language Models
- Deep Learning with PyTorch
- Exploring efficient sequence modeling beyond transformer-based architectures
- Building custom LLM experiments from scratch
- Researching vision + language integration models
- Python
- PyTorch
- NumPy
- Hugging Face (learning / experimenting)
- Git & Linux
- FAISS
- SQLite
- C
- Build efficient and scalable hybrid AI models
- Contribute to open-source ML research
- Develop novel architectures for sequence modeling