Ayobami Michael

I am a Machine Learning Engineer with end-to-end expertise in multimodal AI, data pipeline engineering, model deployment, and LLM workflow development. I rapidly prototype, optimize, and deploy production-grade systems across NLP, audio/video analytics, and computer vision.

At Atlantis-UgarSoft Research Lab I built low-latency streaming AI systems, real-time inference pipelines, and automated data ingestion and labeling workflows, resulting in measurable improvements such as 40% more efficient construction-site data logging and high-accuracy deployment targets.

My project work includes a real-time multimodal proposal generation system using multi-agent LLM architectures and a deployed image-classification pipeline with >92% accuracy. I focus on scalable, monitored deployments using Docker, FastAPI, AWS, CI/CD, and vector databases.