Passionate about building scalable, high-performance intelligent systems. Expert in Large Language Models (LLMs), Computer Vision, and Distributed Systems.
| Category | Tools & Technologies |
|---|---|
| Languages | Python, C++, Rust, TypeScript, SQL |
| AI/ML | PyTorch, TensorFlow, Transformers, OpenCV, Scikit-learn |
| Data & MLOps | MLflow, DVC, Ray, Kubernetes, Docker, AWS/GCP |
| Development | Git, CI/CD (GitHub Actions), React, Node.js |
- 🦾 vision-transformer-pytorch: High-performance ViT implementation from scratch.
- 🧠 llm-quantization-toolkit: Optimize LLMs for edge deployment (4-bit/8-bit).
- ⛓️ distributed-rl-framework: Scalable RL training using Ray and Rllib.
- ⚡ edge-cv-optimization: TensorRT & OpenVINO optimization for CV models.
- 🔄 automated-mlops-pipeline: CI/CD for ML with MLflow and DVC.
- LinkedIn: linkedin.com/in/ethanjreynolds-ai
- Twitter: @EthanAI_Dev
- Website: ethanreynolds.ai
"Building the future of intelligence, one commit at a time."