Software engineer applying experience in C/C++, Java, and Python across diverse projects. Interested in low-level systems programming (performance, OS, embedded) and learning AI through hands-on implementation (e.g., small GPT). Exploring the intersection of hardware and software while striving for efficient and clear code.
Python, C, C++, Rust, Java, JavaScript
PyTorch, Lightning, Hugging Face (Transformers, Datasets), TensorFlow, scikit-learn, Weights & Biases
Linux, Embedded Systems, Assembly, RTOS, Docker, Kubernetes
- System Programming & Kernel Development
- Hardware-Software Interface
- Performance Optimization & Memory Management
- Real-time Systems & Embedded Development
- Large Language Models & Transformers (learning by building)
- Implementing and Understanding AI Models
- Applying concepts from AI research papers
- Hardware Acceleration for AI
- π§ Email: 72ave2@gmail.com
"The best way to predict the future is to implement it"