Hi, I'm Samuelson Boadu-Acheampong.
Software Engineer | Web · Mobile · AI/ML
A bit about me
I like figuring things out. How things work, why they work, and occasionally why they don’t. Software turned out to be a pretty good place for that curiosity to live. These days, that means building across web and mobile, exploring AI/ML, and working on research when a problem gets interesting enough. Some of my interesting stuff areBELW.
I tend to turn “I wonder if…” into “I built it.”
What I work with
Where I've been
Mobile App Developer
ReproPlan LTD•Accra, Ghana (Remote)
Developing the core mobile application for a reproductive health platform, building key user flows including health information access, nearby facility discovery, contraceptive requests, and emergency support. Currently laying the foundation for upcoming AI-assisted features.
Projects
Mobile apps, roughly in the order I built them — each one a step further than the last.
public/projects/findme/1.pngFindMe
Real-time location sharing.
I wanted to answer a simple question: “Where are you right now?” So I built FindMe, a mobile app that live-tracks your location with friends and turns mysterious, moving coordinates into actual addresses. It was my first real experiment in mobile development, and it gave me the thrill of taking an idea from a blank screen to a working, real-time app.
public/projects/afrisign/1.pngAfriSign
The Screen where AI meets Sign Language.
I didn't build the AI behind AfriSign, but I built the screen it lives on. AfriSign was a research project exploring machine translation across six African sign languages. My contribution was designing and developing the mobile app interface, creating the user-facing experience where people would input signs and receive translations. It was a great exercise in building clean, accessible UI to support complex academic research, which was ultimately published in Discover Artificial Intelligence.
public/projects/dialogi/1.jpgDialogi
Real-time Audio Rooms for Academic Discussion.
I wanted to make academic discussions feel a little less like awkwardly waiting for someone to raise their hand. So I built Dialogi, a real-time audio platform for topic-based student conversations. I led the mobile and backend development, wiring up the live communication. It ended up being adopted by 150+ KNUST Computer Science students, with folks from Math, Physics, and EE jumping in too.
public/projects/reproplan/1.pngReproPlan
Anonymous SRHR Guidance for Ghanaian Youth.
ReproPlan's mission is to make reproductive health information and services easily accessible from a single place. My role is to bring that vision to life by building the core mobile application. I'm developing the key user flows for health info, facility discovery, contraceptive requests, and emergency support, while laying the technical groundwork for upcoming AI-assisted features. The core product and its main flows are already taking shape.
Academic work
Research Assistant
Dept. of Computer Science, KNUST
Kumasi, Ghana
Selected for a merit-based research placement under Ghana's National Service Scheme. Led curation and annotation of a multilingual sign language video dataset across six African sign languages and six countries, using MediaPipe for keypoint extraction.The resulting model reached 94.6% accuracy and 97.3% precision. Also led manuscript preparation for a CNN-BiLSTM mobile money fraud detection study, translating the team's architectural decisions into rigorous academic writing.
Teaching Assistant
Dept. of Computer Science, KNUST
Kumasi, Ghana
Delivered lab sessions for CSM 183/184 (Introduction to Computers) to 500+ first-year students, CSM 177 (Computer Appreciation) to 200+ Sociology students, and CSM 255 (Open Source Operating Systems) to 250 second-year students, covering everything from basic computer literacy to Ubuntu and terminal fundamentals.
Publications
- Advanced Mobile Money Fraud Detection Using CNN-BiLSTM and Optimized SGD with Momentum
Yussif, N., Takyi, K., Gyening, R.M.O.M., Boadu-Acheampong, S.I.
AJIT-e: Academic Journal of Information Technology, 16(3), 207–231 • Aug 2025
- AfriSign: African Sign Languages Machine Translation
Takyi, K., Gyening, R.M.O.M., Gueuwou, S.M., Nyarko, M.S., Adade, R., Borkor, R.N., Boadu-Acheampong, S.I., Tabari, L.
Discover Artificial Intelligence, 5, 6 • Jan 2025
Before you go
Right now, I'm building ReproPlan's mobile app and staying close to the research side of things, most recently around AI applications. I enjoy work that lets me build useful software and explore interesting technical problems.