Youssef Ateya

About

Posted on Oct 25, 2025

About Youssef Ateya

I’m Youssef Ateya, a full stack software engineer working on AI and agentic systems. I build production GenAI applications end to end: agent orchestration and retrieval on the backend, React and Next.js on the front, deployed across AWS, Azure, and GCP for large enterprise customers. Before that I spent a year on RAG systems for the energy industry and a summer on the Clang/LLVM compiler frontend at Meta.

Education

University Of Houston · Houston, TX
Bachelor of Science in Computer Science, Minor in Mathematics
August 2022 to May 2025
Relevant Coursework: Data Structures and Algorithms, Operating Systems, Computer Architecture, Automata Theory, Database Systems

Experience

Senior Associate, Forward Deployed AI Software Engineer @ Kyndryl
February 2026 to Present · Dallas, TX

  • Full stack engineer shipping production GenAI applications and agentic systems in Python and TypeScript across AWS, Azure, and GCP on customer-facing engagements with large enterprise clients including American Express, a state DMV, and Dow, owning solution architecture, backend services, API contracts, and agent runtime.
  • Built an enterprise insights agent on GCP spanning 500+ applications, translating user intent, history, and active filters into structured JSON requests against a semantic-layer data-query agent, returning grounded narratives, tables, and charts with citations, rendered in the React/Next.js frontend I build alongside the Python backend.
  • Designed a multi-agent orchestration pipeline for a mainframe modernization program at a large enterprise customer, handling intent routing and agent chaining across discovery, process-mapping, notebook-builder, and validation agents in LangGraph, with JSON Schema contracts and validation gates between stages.
  • Built a source-code understanding pipeline that parses legacy COBOL and JCL into a queryable knowledge graph, with a custom parser handling copybook expansion and malformed source, persisted as a combined graph and vector store in MongoDB so engineers can search decades-old systems in natural language.
  • Contribute to Kyndryl Agent Builder, a company-wide GenAI platform with a capability registry and tool catalog so applications discover and invoke reusable skills at runtime, with tools exposed over MCP.

Software Engineer @ Digital Wildcatters
June 2024 to July 2025 · Houston, TX

  • Architected and deployed RAG-powered LLMs for enterprise energy clients, processing 100,000+ unstructured oil & gas documents across PDFs, Word, Excel, and PowerPoint using distributed microservices with Kafka.
  • Rebuilt ingestion around structure-aware semantic chunking, deduplication, and source normalization after fixed-size chunks destroyed tables and separated numbers from their row and column headers.
  • Built hybrid retrieval fusing Qdrant vector search over BGE embeddings with keyword search and reranking, so engineers could query exact well names and API numbers.
  • Engineered an end-to-end Azure ML pipeline in Python with Document Intelligence, Computer Vision, and Cognitive Search to automate ingestion and search, achieving 3× faster retrieval.
  • Fine-tuned an open-source Llama model in PyTorch on public oil & gas corpora.
  • Built full-stack features for Collide in TypeScript, React, and Ruby on Rails; containerized services with Docker and Kubernetes and held pytest/Jest/RSpec suites at 90% coverage via Jenkins and GitHub Actions.

Software Engineer Intern (MLH Fellowship) @ Meta
June 2024 to September 2024 · Remote

  • Optimized Clang/LLVM passes for 30% faster compilation in specific workloads, and published notes consisting of hundreds of pages of technical documentation for LLVM and Clangd, supporting 100+ new contributors.
  • Open source contributions to Clangd, Clang-Tidy, and ClangIR under the LLVM project, improving diagnostics, C++ code analysis, and Clangd Language Server features shipped to VS Code users.

Projects

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

  • 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

  • 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

Languages & Backend: Python, TypeScript, JavaScript, C/C++, SQL, Ruby on Rails, Rust, FastAPI, Flask, Node.js, React, Next.js, REST/gRPC, JSON Schema, Pydantic, Kafka

GenAI & Agents: LLM application development, agent orchestration, tool/function calling, multi-agent chaining, MCP, A2A, LangGraph, Google ADK, Gemini, RAG, vector search, semantic search, embeddings/reranking, prompt engineering, PyTorch, fine-tuning, vLLM, evaluation (Ragas), observability (Langfuse)

Cloud & Data: AWS, Azure, GCP, Docker, Kubernetes, Temporal, CI/CD (GitHub Actions, Jenkins), Linux, PostgreSQL, MongoDB, Redis, Qdrant, pytest, Jest, Playwright