I’m Muhammad Abubakar, an Applied AI Engineer passionate about turning cutting-edge research in machine learning, NLP, and computer vision into real-world applications. My projects include developing AI-powered task management platforms (Skill Map with FLAN-T5 & KNN), building retrieval-augmented generation (RAG) apps using Google Gemini & FAISS, and fine-tuning transformers like BART & FLAN-T5 for dialogue summarization and automation pipelines.
Currently, I work as a Backend Engineer at Accotech, where I build scalable solutions using Supabase and Bubble, while continuing to integrate AI-driven components into production-ready systems. I bring expertise in Python, TensorFlow, Hugging Face Transformers, OpenCV, Django, and Angular, with deployment skills on Google Cloud.
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