Youssef Ateya

My Experience

Posted on Oct 23, 2025

Digital Wildcatters Logo Software Engineer – Digital Wildcatters

June 2024 – July 2025

  • Architected and deployed RAG-powered LLM systems for 5 enterprise energy clients, processing 100,000+ technical documents (PDF, Word, Excel, PowerPoint) through distributed Kafka microservices and Python-based ingestion pipelines.
  • Engineered end-to-end Azure ML pipelines leveraging Document Intelligence, Computer Vision, and Cognitive Search, achieving 3× faster document retrieval through optimized indexing and caching.
  • Developed full-stack features for Collide.io using Ruby on Rails, React, and JavaScript, including real-time chat, caching, and analytics dashboards on Linux environments.
  • Containerized AI and backend services using Docker and deployed to Kubernetes, improving scalability and release reliability.
  • Fine-tuned transformer models in PyTorch for retrieval and summarization; integrated domain-specific embeddings into RAG workflows.
  • Built internal monitoring dashboards using FastAPI and Prometheus for throughput, latency, and document-processing health metrics.
  • Wrote automated testing suites in pytest, Jest, and RSpec, achieving 90% coverage with CI/CD automation via Jenkins and GitHub Actions.

Meta Logo Meta – Software Engineering Intern (MLH Fellow, Compiler Systems)

June 2024 – September 2024

  • Contributed to Clang/LLVM compiler optimizations for 30% faster compilation in targeted workloads, improving developer performance.
  • Collaborated with Meta’s Programming Languages Research team on compiler infrastructure, regression testing, and tooling improvements.
  • Authored and published hundreds of pages of LLVM/Clangd documentation adopted by 100+ new contributors, improving onboarding and codebase transparency.
  • Implemented cross-platform build/test automation (Linux, macOS, Windows) using CMake and LLVM’s LIT framework.
  • Led internal code review sessions and contributed to documentation standards and developer guidelines.

LLVM Logo Clang/LLVM Open Source Contributor

September 2024 – Present

  • Contributing to Clangd, Clang-Tidy, and ClangIR under the LLVM project, improving diagnostics, static analysis, and IR optimization pipelines.
  • Enhanced developer experience for VS Code users by implementing new Clangd Language Server features used by 2M+ developers.
  • Authored code analysis checks and refactoring utilities merged into Clang-Tidy.
  • Collaborating with LLVM maintainers across subprojects and participating in technical design discussions.