Software Engineer | AI Infrastructure & Compiler Systems | Computer Science Graduate from the University of Houston
- 💼 Former Software Engineer at Digital Wildcatters, where I architected and deployed RAG-powered LLMs for enterprise energy clients, processing 100,000+ technical documents with Python, Kafka, and Azure AI.
- 🤖 Specializing in AI Infrastructure — designing and deploying Azure ML pipelines, vector database systems, and document intelligence solutions integrating PyTorch, Docker, and Kubernetes.
- 💻 Full-stack experience across Ruby on Rails, React, and FastAPI, developing scalable, data-driven web and internal analytics platforms.
- 🧠 Former Meta Software Engineering Intern (MLH Fellow) — contributed to Clang/LLVM compiler optimizations, improving compile times by 30% and authoring documentation adopted by 100+ contributors.
- 🌍 Open-source contributor to Clangd, Clang-Tidy, and ClangIR, enhancing diagnostics, static analysis, and developer tooling used by 2M+ C/C++ developers globally.
- ☁️ Passionate about distributed systems, LLM infrastructure, and high-performance software engineering.
- 📫 Reach me at yousefamrzagazig@gmail.com
- 🧠 AI Infrastructure: scalable LLM, RAG, and data-pipeline systems
- 🧮 Compiler Technology: LLVM, Clangd, Clang-Tidy, static analysis, IR design
- 🧰 Full-Stack Engineering: Ruby on Rails, React, FastAPI, Node.js
- ☁️ Cloud & DevOps: Azure ML, Docker, Kubernetes, distributed microservices
