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
Lightweight Python package + chat UI that transforms natural language into parameterized SQL or NoSQL queries. Features schema-aware validation, query optimization, and testable execution plans. No more syntax debugging sessions.
QA Result Analyzer
Intelligent test failure aggregation system that classifies failures, suggests probable root causes using embeddings + heuristics, and exports unified bug reports. Turns chaos into actionable insights.
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."
"Technical skills and innovative thinking stood out. An invaluable team member and incredibly supportive teammate."
"Tackles challenges with a positive attitude and consistently delivers high‑quality results that exceed expectations."
Want to collaborate or just chat about tech? Drop me a message - I reply faster than a Redis cache hit.