Open to opportunities

Ayobami Michael

@ayobamimichael

Message

Machine Learning Engineer specializing in multimodal AI, real-time systems, and production-grade MLOps.

Nigeria

Message

What I'm looking for

I seek roles building production-grade multimodal ML systems and scalable MLOps pipelines, with opportunities for impact, autonomy, and technical growth.

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.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Atlantis-UgarSoft Research Lab

Nov 2022 - Present (3 years 1 month)

Built low-latency streaming AI systems and end-to-end ML deployments, improving model consistency and data-logging efficiency by up to 40% and achieving 98% accuracy in webcam engagement detection. Designed data ingestion, automated labeling pipelines, and production monitoring for NLP and CV workloads.

Python TensorFlow Streaming Inference Data Pipelines Docker fastAPI Vector Databases Model Monitoring

Software Engineer

Atlantis Research Center

May 2020 - Oct 2022 (2 years 5 months)

Designed and deployed a healthcare drug-finder app on AWS serving 500+ medical professionals and optimized backend APIs to reduce query latency by 35%. Collaborated with cross-functional teams to deliver secure, scalable applications.