Ryan Fernandes

A personal website built to look like a GitHub repository page. Made with Next.js, React, TypeScript, and Tailwind CSS.

Here's some info about me:

I'm a Computer Science and Electrical Engineering student at Yale University '28 with a 4.0 GPA, graduating in May 2028. I'm passionate about AI/ML engineering, open-source software, and building things that make an impact.

ryan@fernandes.us · GitHub · LinkedIn

Experience

Neural Magic — AI Engineering Intern, vLLM

May 2026 – Present · Boston, MA

• Implementing router-weighted expert pruning compression for large MoE LLMs, reducing VRAM usage up to 50%
• Pruning algorithm reduces VRAM usage up to 50%, saving ~$35,000 per model server on hardware costs
• Building an agent-assisted Kubernetes pipeline to automate multi-day LLM evaluation workflows
• Contributing to vLLM's Speculative Decoding and LLM Compressor repositories (82k stars)

Red Hat, IBM — Software Engineering Intern

May 2025 – August 2025 · Boston, MA

• Created an agentic Docling document editor, yielding a 91% time save on data postprocessing
• Facilitating open-source acquisition by the Docling GitHub organization (35k stars)
• Reduced token costs and latency by 400% through prompt caching and context compression

Education

Yale University

B.S. in Computer Science and Electrical Engineering · Expected May 2028 · New Haven, CT

• GPA: 4.0 (4 semesters, 22 courses), SAT: 1600
• Yale Computer Society Co-President, Club Spikeball Captain
• Coursework: Data Structures & Algorithms, Computer Architecture, Systems & Signal Processing, Digital Systems, Networks, Linear Algebra, Discrete Math, Circuit Analysis & Design

Projects

Yale Computer Society

Co-President, Team Lead of y/labs · Sept 2024 – May 2026

• Ran Yale's largest CS organization — 300 members, 20,000+ users across 7 products
• Drove $19,000 in corporate sponsorships (9.5x increase), managed a $30,000 budget
• Created y/labs, an automated research discovery platform connecting 500+ students and professors

Robotic Die Rotator

April 2026 – Present

• Built an autonomous Arduino system to rotate a playing die to any specified orientation
• Wrote a C++ computer vision algorithm with 98% accuracy on a custom 200-image dataset
• Incorporating into a full assembly line to create pixelated murals from 5,000+ dice

Skills

Python · PyTorch · NumPy · Pandas · Machine Learning · LLM Optimization · Agentic Applications · MCP · Fullstack Web Development · React/TypeScript · Kubernetes · C/C++ · MATLAB · Solidworks · Git