■ available for opportunities
Ainebyona
Abubaker
IST Student & Aspiring ML Engineer. I build AI-powered systems and deploy real-world SaaS applications that solve actual problems.
20+
certifications
AI
ml engineer
SaaS
deployed
IST Student & Aspiring ML Engineer. I build AI-powered systems and deploy real-world SaaS applications that solve actual problems.
I'm an Information Systems & Technology student focused on building intelligent, scalable systems that bridge the gap between AI research and real-world deployment.
I specialize in backend development, AI/ML integration, and deploying production-grade applications. My flagship project, FaceAttend, is a live SaaS product serving universities. I hold 20+ Coursera certifications from Stanford, DeepLearning.AI, IBM, Duke, and AWS.
AI-powered facial recognition attendance system built for universities. Automates attendance tracking with real-time detection, anti-spoofing liveness detection, institutional dashboards, coordinator invite flows, enterprise API with API key management, and email notifications via Zoho Mail. Deployed on DigitalOcean with Docker + nginx and serving institutions across Africa.
Fine-tuned DistilBERT on African mobile money fraud SMS data to detect scams, phishing, and fraudulent messages. Achieves 96.7–100% accuracy. Deployed as a production FastAPI service on DigitalOcean with /classify and /classify/batch endpoints. Targeting Ugandan fintech integrations.
Machine learning model trained to detect and filter spam with high precision. Implements NLP feature extraction and binary classification. Live interactive demo on Hugging Face Spaces.
Real-time weather application with live data fetching, location-based forecasts, and clean data presentation via REST API integration.
I'm open to internships, collaborations, and full-time roles in machine learning and backend engineering. Let's build something together.