🎓 Recent Computer & Information Science graduate and a software engineer who ships — full-stack, AI/ML, and data-driven products. I take ideas all the way to something real, tested, and deployed: a live web app, a native iOS app, a research benchmark with a written-up result.
- 💼 Open to software engineering, applied-AI, and AI research roles — full-stack, backend, or ML.
- 🔭 I build end-to-end: design → code → automated tests + CI → deploy.
- 🛠️ Every project below is genuinely shipped and tested, not a tutorial clone.
- ⚙️ Comfortable across Python, Swift, Flask, SwiftUI, PostgreSQL, Docker.
📫 amhanesipeace21@gmail.com · 💼 LinkedIn
💰 FinTrak — full-stack financial SaaS · live
A production-style personal-finance platform. Flask + PostgreSQL, JWT +
bcrypt auth, live market data (Alpha Vantage / Yahoo Finance) cached with
Redis and refreshed by Celery, containerized with Docker, and
deployed on Render with Alembic migrations.
102 tests · ~94% coverage · CI · benchmarked performance.
🔗 Live: https://fintrak-web.onrender.com · demo / demo123
📝 FreeNote — free iPad notebook app
A 100% free digital notebook for iPad/iOS — no subscriptions, ads, or accounts. Built with SwiftUI + PencilKit: markup, page templates, custom stickers, photos, text boxes, live thumbnails, folders & search, and PDF/PNG export. 16 tests · CI.
🗣️ Name-Pronunciation Fairness Benchmark — AI fairness research
Measures how accurately TTS systems pronounce African-language names (Yoruba/Igbo/Hausa) vs English. Full pipeline (synthesize → ASR score → analyze → statistical tests) across three engines, with an honest write-up: a large, statistically significant bias in the mainstream engine.
⚽ EPL Insights Dashboard — live sports data → stories
A live English Premier League dashboard that pulls scores/stats from sport APIs and auto-generates narrative insights (title race, form, Golden Boot), with live in-play scores, charts, and a data layer covered by tests + CI.
Languages: Python · Swift · JavaScript · SQL Web / backend: Flask · SwiftUI · PostgreSQL · Redis · Celery · REST APIs ML / data: Whisper (ASR) · TTS · scipy · Matplotlib · statistical testing Tooling: Docker · Git · GitHub Actions (CI) · pytest / XCTest · Render
I'm actively looking for software engineering, applied-AI, and AI research opportunities. Happy to walk through any of these projects.
Every project above was built end-to-end with automated tests and CI — I care about shipping things that actually work.