Junior Software Engineer @ UT Dallas ('26). 2x Apple intern crafting AI-powered tooling, scalable backend systems, and developer productivity tools that actually ship.
I'm a fourth-year CS student at the University of Texas at Dallas, graduating May 2026. I specialize in solving the unglamorous problems that make teams 10x faster - think intelligent log analysis, bulletproof CI/CD pipelines, test automation that actually works, and AI-powered query generation.
At Apple, I built LLM-powered tooling for the Camera & Photos team, automated thousands of test failures with smart triage systems, and designed cloud workflows that ship fast and break nothing. I balance velocity with reliability, security with usability, and always prioritize crystal-clear communication.
Apple
6.87% escalation rate through independent research & advanced troubleshooting-well below department average.
0.27m average call wrap time while maintaining premium-quality documentation standards.
15% above department average CSAT; 2x AppleCare Excellence Award recipient (2024, 2025).
Apple
Automated parsing, grouping, and analysis of thousands of on-device tests with intelligent categorization systems.
Integrated LLMs into test triage workflows to dramatically speed up root-cause analysis and reduce manual investigation time by 4,800%.
Unified bug report formats for succinct, actionable communications that teams actually use.
Apple
Built an LLM-powered chat interface + Python package to generate SQL/NoSQL queries from natural language-no more syntax debugging.
Migrated critical services from Java 11 → JDK 21, resolving dependency conflicts and security vulnerabilities.
Designed robust AWS/GCP workflows and CI/CD pipelines for reliable deploys and lightning-fast feedback loops.
Optimized an iOS log analyzer (MVVM) to render thousands of events in real-time without performance hiccups.
Altru Health System
Repaired, imaged, and deployed hundreds of machines for critical healthcare system expansion.
Handled urgent hardware deliveries and set a department intake record (300+ devices) during high-demand periods.
NL → SQL/NoSQL
Python package + chat UI that transforms natural language into data-accurate responses by automatically running parameterized SQL or NoSQL queries & interpreting the responses. No more syntax debugging sessions!
QA Result Analyzer
Intelligent test failure aggregation system that classifies failures, suggests probable root causes using multi-stage LLM analysis and exports unified bug reports with automatic artifact attachment. Turns chaos into actionable insights.
AI Observability
Lode is an AI-enhanced observability platform for solo developers. Deployed with a single Docker command and a drop-in replacement Python logging library, it enables you to query your logs using natural language.
Academic Notes
Lode is an AI-enhanced observability platform for solo developers. Deployed with a single Docker command and a drop-in replacement Python logging library, it enables you to query your logs using natural language.
Music Production
Since 2021, I've been a hobbyist music producer, primarily specializing in the creation of "Lo-Fi", or Low Fidelity music. I have been a published artist on major streaming platforms such as Spotify & Apple Music since 2023.
Coming Very Soon™
Working on something that will blow your mind.
Check back later! 👀
Full references available upon request
"Ryan's learning agility is remarkable… he tackles each new challenge with focus and enthusiasm. Strong communicator with clear, impactful presentations."
"Ryan was a fantastic summer 2025 intern. A fast learner, he delivered his project ahead of schedule and integrated seamlessly. He performed like a full-time hire."
"Ryan was an exceptional intern, contributing valuable test automation tools. His initiative, clear communication, and collaboration made him a joy to work with."
Want to collaborate or just chat about tech? Drop me a message - I reply faster than a Redis cache hit.