Emmanuel Ajala

I'm building and shipping full-stack product features at Mixle, including production real-time WebSocket messaging, REST APIs, frontend architecture, debugging, and reliability improvements. I own features from planning through deployment and iterate with product partners using user feedback.

At Moultrie, I shipped a YOLO re-identification computer-vision feature from a research prototype into a live product workflow. I also built C# validation scripts for Azure DevOps CI/CD pipelines, helping reduce pre-release defects by 25% through stronger coverage and log analysis.

As a Data Science Research Assistant at UAB's Glycans for Regeneration Lab, I built Python and SQL pipelines across more than 300,000 records and improved data quality from 80% to 95%. I ran predictive models and presented quantitative findings that informed next-step decisions.

I've also built Whispae, a live consumer wellness app, a document-grounded RAG chatbot, and a Kafka transaction microservice. Through the Handshake AI Fellowship, I design prompts and rubrics to evaluate LLM code quality and document reproducible model failure cases.