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YOLOv8n · on-device · Ghana

Hi 👋, Nice to meet you!

I'm Philip Abakah — AI Engineer, Optometrist, and builder of real-world systems.

I didn't come into this from computer science in the traditional way. I started early — building mobile applications in high school, long before I formally stepped into AI. That foundation in software engineering shaped how I think about building systems: practical, user-focused, and designed to actually be used.

I later studied optometry 👨🏾‍⚕️ and vision science — perception, how people interact with the world — and somewhere along the way, I started asking a different question:

What if we could build systems that don't just see… but actually help people navigate reality?

So I kept building, just in a different direction.

The Work

My work sits at the intersection of AI, healthcare, and accessibility — not as ideas, but as systems that run in the real world.

One of the most defining projects I've built is Safe Step, my final year thesis — an AI-powered navigation system for visually impaired users, built around a real-time computer vision pipeline using YOLOv8. But the model was never the point. The real challenge was translating perception into action — turning noisy visual data into simple, usable guidance. Under simulated blindness, users went from 0% task completion to 100% with the system.

I've also built EyeDxAi, an AI-assisted diagnostic tool that combines image understanding with structured reasoning to suggest possible eye conditions and next steps — pushing me to think about how models can support real decision-making, not just predictions.

The Turning Point

Joining Envision Technologies late 2024 changed everything. Working on systems used by over 100,000 blind and low vision users shifted how I think about building software. It wasn't about prototypes anymore. It was about reliability, usability, and designing systems that people depend on.

It was the first time I saw something I worked on exist outside of me — in the hands of real users, in real environments, solving real problems.

Outside of my core work, I enjoy following Formula One 🏎️ and occasionally exploring telemetry data to build small models. I also enjoy illustration, painting & cooking. See what I'm doing now.

Software Stack
🐦 Flutter 🎯 Dart 🐍 Python 🧠 TensorFlow 🖐️ MediaPipe FastAPI 🔥 Firebase ⚛️ React 📘 TypeScript 🌐 JavaScript 🤖 Gemini API 💎 Figma 🧑‍💻 VS Code 🐙 Git
Timeline

Envision Technologies B.V.

Software Engineer · Remote

Oct 2024 → Mar 2026

TripOclock

Mobile Developer · Part-time

Feb 2023 → Mar 2026

Slightly Techie Community

Flutter Team Lead

Aug 2023 → Dec 2024

Night Market

Mobile Developer

Aug 2023 → Dec 2023

Insurerity Digital

Mobile Developer

Feb 2021 → Dec 2022
Research
📄
Automating glaucoma diagnosis using artificial intelligence
Ghana Research & Industry Collaborative 2024
Awards
  • 🏆 Caraham Ophthalmics Prize for Innovation 2025
  • ⭐ Most Promising Student — OSAG UCC 2025
  • 🎓 GNPC Scholar 2020–2023
Certifications
  • 📊 IBM Data Fundamentals 2025
  • 🤖 AI Career Essentials — ALX Africa 2024
  • 🐍 Python & R Workshop — AIMS Rwanda 2025
  • 🐦 Flutter Development — Simplilearn 2022
Leadership
  • 📱 Mobile Dev Team Lead Slightly Techie Network
  • 🎓 Flutter Instructor Google Dev Club, UCC
  • 🔬 Exhibition Team Women in Vision Ghana