Senior AI/ML Engineer based in San Francisco, CA. I specialize in building scalable neural architectures and bridging the gap between cutting-edge research and production-ready AI solutions.
- 🔭 I’m currently working on Vision Transformer (ViT) optimizations and Multi-Agent LLM Frameworks.
- 🌱 I’m currently learning Advanced Reinforcement Learning and Distributed Systems.
- 👯 I’m looking to collaborate on Open Source AI Research and MLOps Tooling.
- 💬 Ask me about PyTorch, Transformers, and Scalable AI Architecture.
- 📫 How to reach me: marcusreed.dev | @MarcusReedAI
| Category | Technologies |
|---|---|
| Languages | Python, TypeScript, Go, C++, SQL |
| AI/ML | PyTorch, TensorFlow, JAX, Scikit-Learn, HuggingFace |
| Data Science | Pandas, NumPy, Matplotlib, Seaborn, Weights & Biases |
| Infrastructure | AWS, GCP, Kubernetes, Docker, Terraform |
| Databases | PostgreSQL, Redis, FAISS, Pinecone |
- vision-transformer-pytorch: Implementation of ViT in PyTorch for image classification.
- llm-agent-framework: Lightweight framework for multi-agent LLM orchestration.
- distributed-training-utils: Utilities for distributed deep learning on Kubernetes.
“The best way to predict the future is to invent it.”