Ainebyona Abubaker

I’m a Machine Learning Engineer with hands-on experience in computer vision, deep learning, and AI system deployment. I built and deployed production-grade AI pipelines, including a live face verification SaaS with anti-spoofing for universities.

I architected an end-to-end face verification attendance system with InsightFace (ArcFace embeddings), anti-spoofing detection, and ONNX Runtime for low-latency inference. I designed an async FastAPI backend for face capture, embedding generation, verification, and attendance marking, then deployed containerized microservices with encrypted storage and role-based access control. I also built a Flutter mobile client and a pure HTML dashboard for real-time capture and attendance analytics.

I enjoy shipping models and applications that perform in the real world. I fine-tuned DistilBERT for spam classification to achieve 98% accuracy with deployment on Hugging Face Hub using an interactive Gradio interface, and I built a live REST-based weather app deployed on Streamlit Community Cloud.