About

Posted on Oct 25, 2025

About Youssef Ateya

Welcome to my personal website! I’m Youssef Ateya, a passionate Software Engineer with a strong background in Computer Science and a Minor in Mathematics from the University of Houston. My journey in tech has been focused on building robust, scalable, and intelligent solutions.


Education

University Of Houston - Houston, TX Bachelor of Science in Computer Science, Minor in Mathematics

  • Aug. 2022 - May 2025*
  • Relevant Coursework: Data Structures and Algorithms, Operating Systems, Computer Architecture, Automata Theory, Database Systems*

Experience

Software Engineer – Digital Wildcatters
June 2024 – July 2025

  • Architected and deployed RAG-powered LLMs for 5 enterprise energy clients, processing 100,000+ oil & gas documents across PDFs, Word, Excel, and PowerPoint using distributed microservices with Kafka.
  • Engineered end-to-end Azure ML pipelines in Python leveraging Document Intelligence, Computer Vision, and Cognitive Search to automate ingestion and retrieval, achieving 3× faster document search.
  • Developed full-stack features for Collide.io using Ruby on Rails, React, and JavaScript; implemented real-time chat, caching, and analytics dashboards in a Linux production environment.
  • Containerized backend and AI services with Docker and deployed via Kubernetes, improving scalability and reliability of production workloads.
  • Fine-tuned transformer models in PyTorch for domain-specific retrieval and summarization; integrated custom embeddings and metadata tagging into RAG pipelines.
  • Built internal monitoring tools using FastAPI and Prometheus to visualize ingestion throughput, latency, and system health.
  • Created comprehensive test suites using pytest, Jest, and RSpec, achieving 90% coverage; automated builds and deployments via Jenkins and GitHub Actions.
  • Collaborated cross-functionally with product managers, data scientists, and 5 enterprise clients to align feature development with business goals.

Meta MLH Fellow — Compiler Systems – Meta
June 2024 – September 2024

  • Optimized Clang/LLVM compiler passes for 30% faster compilation in specific workloads, demonstrating measurable impact on developer productivity.
  • Collaborated with Meta’s Programming Languages Research team on compiler performance experiments and regression testing pipelines.
  • Authored and published hundreds of pages of LLVM and Clangd documentation used by 100+ new contributors, showing leadership in open-source knowledge sharing.
  • Implemented automated cross-platform build and test workflows (Linux, macOS, Windows) using CMake and LLVM’s LIT testing framework.
  • Led weekly code review sessions within fellowship cohorts to promote best practices and mentorship-driven collaboration.

Clang/LLVM Open Source Contributor – Open Source
September 2024 – Present

  • Contributing to Clangd, Clang-Tidy, and ClangIR under the LLVM project, improving diagnostics, static analysis, and IR optimization workflows.
  • Enhanced developer experience for VS Code users via new Clangd Language Server features used by 2M+ developers globally.
  • Implemented and tested new code analysis checks and refactoring tools merged into Clang-Tidy.
  • Authored design discussions and documentation in collaboration with LLVM maintainers across multiple subprojects.

Projects

University of Houston Cougar Chronicles | HTML/CSS, Node.JS, MySQL, Chart.JS, Azure (Github)

  • Architected comprehensive library management system with automated book tracking, real-time inventory monitoring, and advanced analytics dashboard featuring interactive charts and usage statistics for administrators.

DEltectives, HackTX 2023 Winner | Python, Flask, React, Node.js (Github)

  • Developed award-winning diversity and inclusion platform with intelligent campus matching algorithms, real-time geolocation services, and comprehensive user analytics that successfully connected 200+ students during the hackathon event.

Technical Skills

Proficient in: Python, JavaScript, Ruby, C/C++, Ruby on Rails, React, Node.js, Azure (AI Services, Document Intelligence), Docker, MySQL, Git

Experience with: Swift, Rust, Kotlin, Angular, Flask, AWS EC2, Kubernetes, PostgreSQL, MongoDB, Qdrant, NumPy, Pandas, Hugging Face, AI/ML: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, OCR, Haystack