Open to opportunities
Computer Science student at Berea College with internship experience spanning software engineering, cloud documentation, and AI evaluation — at Leidos, Runestone Academy, and Outlier. I adapt quickly and enjoy taking on whatever a team needs to ship.
I'm Elijah Babayemi, a Computer Science student at Berea College who likes building things that are genuinely useful and communicating clearly about how they work. My internships have taken me across software engineering, cloud documentation, and AI model evaluation — and I'm comfortable moving between them.
I pick up new tools quickly, dig into hard problems, and care about clean, reliable work — whether that's shipping a feature, restructuring a knowledge base, or stress-testing a model. I'm open to a range of roles where I can build, learn, and contribute.

Internships across three very different teams — engineering, cloud documentation, and AI — that have made me a flexible, fast-learning contributor.
Partner with 10+ cloud engineers to document AWS and Azure architectures — authoring 20+ architecture overviews, implementation guides, and SOPs, and restructuring 25+ Confluence pages into standardized docs that cut article revision requests by ~20%.
Designed, built, and verified interactive software components for an open-source platform serving 100K+ college CS students, resolved 50+ production defects through structured Git/GitHub workflows, and documented 6 components in PreTeXt, HTML, and XML.
Evaluated 500+ AI model outputs weekly and wrote 400+ structured and adversarial test cases to stress-test model behavior, identifying failure patterns and improving instruction-following reliability by ~20% across review cycles.
A toolkit that spans building, documenting, and evaluating software.
Python, C++, Lua, VBA, and TypeScript, with strong fundamentals in data structures, algorithms, compilers, and Git & GitHub workflows.
Computer vision with PyTorch and YOLOv5, plus large-scale AI model evaluation — building test cases and improving model reliability.
Architecture overviews, implementation guides, and SOPs — structuring knowledge bases in Confluence, Jira, PreTeXt, HTML, and XML.
Hands-on with AWS and Azure environments and Linux, backed by cybersecurity & ethics coursework — how systems run and stay secure.
An AI-assisted voice modulation app that transforms audio in real time — shifting pitch, tone, and character with adjustable effects for a clean, responsive experience.
An automated paper-trading bot that runs multiple strategies against live market data, with broker execution through the Alpaca API and a replay engine for backtesting ideas before they go live.
Have an opportunity, a question, or an idea to build? Send a message and I'll get back to you.