Featured project · Full-stack market tooling
EVE Market Analysis
A production-style app that ingests public EVE Online market data and surfaces price history, hub comparisons, watchlists, and fee-aware arbitrage opportunities.
CMU SCS · Class of 2028
RyanJoyce.
I'm a computer science student at Carnegie Mellon working across full-stack systems, data infrastructure, and computational biology.
01 / About
A little context
I study computer science at Carnegie Mellon's School of Computer Science and plan to minor in computational biology. I recently completed a software engineering internship at GXL, where I worked on data ingestion and processing pipelines. I also have experience working with biological and clinical data.
I compete on Carnegie Mellon's varsity track and field team.
Experience
- Learned and navigated GXL's codebase independently, delivering the first SEC EDGAR-to-Google Cloud Storage ingestion run within one week.
- Built Python and SQL ETL infrastructure transforming raw SEC data through Google Cloud Storage and Parquet into PostgreSQL, with incremental updates, staged validation, manifest tracking, and failure-isolated processing.
- Developed a hand-verified benchmark for biological-sequence extraction from patents, enabling reliable evaluation and iterative improvement when no trustworthy ground-truth dataset existed.
- Built a controlled 10-case evaluation harness comparing Claude Opus 4.6, 4.7, and 4.8 with GLM-5.2 for a customer-facing AI research assistant across correctness, latency, token usage, and cost; found additional agent turns narrowed expected savings and informed model selection.
- Python
- SQL
- Google Cloud Storage
- Parquet
- PostgreSQL
- Supported clinical operations and analyzed next-generation sequencing data.
- Used data-quality and quality-control results to help laboratory staff refine methods and improve processes.
- Worked with Geneious, PyMOL, AlphaFold, UniProt, and Python for bioinformatics analysis.
- Presented findings to the department and proposed a pharmaceutical target based on the analysis.
- Geneious
- PyMOL
- AlphaFold
- UniProt
- Python
02 / Selected work
Things I've built
A flagship build, plus smaller tools and experiments.
Local-first internship tracking
internsHELPer
A local-first app that collects internship postings, removes duplicates, checks availability, and tracks applications through a browser dashboard or macOS app.
Other projects
03 / Updates
What's new
Work, releases, and the occasional milestone.
Patent work from my GXL internship is now live
GXL published a closer look at adding patent data to Paperclip—work I contributed to during my software engineering internship.