Hey there 👋
I'm Youssef, a full stack engineer working on AI and agentic systems. I build production GenAI applications for large enterprises, from agent orchestration and retrieval on the backend to the React and Next.js frontends that sit on top of them.
Recent Posts
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.
Recommended Reading: Notes/Primer on Clang Compiler Frontend (1) : Introduction and Architecture
All Writing
Notes/Primer on Clang Compiler Frontend (4) : Creating our Clang Plugin Project and Clang-tidy Linter Framework
Notes/Primer on Clang Compiler Frontend: Creating our Clang Plugin Project and Clang-tidy Linter Framework
These are my notes on chapter 5 of the Clang Compiler Frontend by Ivan Murashko. (I’ve referenced this book extensively, and a lot of the snippets here are from this book. I’d highly recommend buying it for a deeper dive: https://www.amazon.com/Clang-Compiler-Frontend-Understand-internals/dp/1837630984)
Today we’re going to be doing two exciting things:
We are going to be using everything we’ve learned so far to build a Clang plugin.…
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Notes/Primer on Clang Compiler Frontend (3) : The Unique Basic Libraries, Data Structures, Tools, and LLVM Test Framework
Notes/Primer on Clang Compiler Frontend: The Unique Basic Libraries, Data Structures, Tools, and LLVM Test Framework
These are my notes on chapter 4 of the Clang Compiler Frontend by Ivan Murashko. (I’ve referened this book extensively, and a lot of the snippets here are from this book. I’d highly recommend buying it for a deeper dive: https://www.amazon.com/Clang-Compiler-Frontend-Understand-internals/dp/1837630984)
LLVM is written in C++, and while it actively utilizes functionality provided by the Standard Template Library (STL) it still contains a lot of internal implementations that are primarily aimed at optimizing performance.…
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Notes/Primer on Clang Compiler Frontend (2) : The Clang AST
Notes/Primer on Clang Compiler Frontend: The Clang AST
These are my notes on chapter 3 of the Clang Compiler Frontend by Ivan Murashko. (I’ve referened this book extensively, and a lot of the snippets here are from this book. I’d highly recommend buying it for a deeper dive: https://www.amazon.com/Clang-Compiler-Frontend-Understand-internals/dp/1837630984)
So far we discussed LLVM, Clang, and Clang’s Backend; now we are going to discuss Clang’s Abstract Syntax Tree. So Clang offers sophisticated tools for searching AST Nodes, these tools are implemented using Domain Specific Language (DSL for short).…
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Notes/Primer on Clang Compiler Frontend (1) : Introduction and Architecture
Notes/Primer on Clang Compiler Frontend: Introduction and Architecture
These are my notes on chapters 1 & 2 of the Clang Compiler Frontend by Ivan Murashko. The book is focused on teaching the fundamentals of LLVM to C++ engineers who are interested in learning about compilers to optimize their daily workflow by enhancing their code quality and overall development process. (I’ve referened this book extensively, and a lot of the snippets here are from this book.…
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