Summary
Maduabughichi Achilefu is a Research Machine Learning Engineer based in Vancouver with 10 years of experience building production-grade AI, MLOps and full-stack systems across telecommunications, oil & gas, retail and fintech. He leads applied research and deployment of LLM-powered pipelines, RAG chatbots and computer vision attribute extractors—delivering measurable gains like 30% search relevancy improvement and a 22% precision lift from hybrid retrieval+confidence scoring. A former CTO who institutionalized Terraform+Azure DevOps MLOps standards, he bridges research and commercialisation by turning prototypes into repeatable, governed production systems. Proficient across Python, Java/Kotlin, .NET, cloud platforms (Azure/AWS/GCP) and databases, he also teaches analytics and databases at Northeastern, staying plugged into both industry trends and talent development. One of his mobile apps surpassed 100,000 installs, underscoring a knack for shipping user-facing products as well as backend AI infrastructure.
10 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree Polymer Engineering, Bachelor’s Degree Polymer Engineering at Federal University of Technology Owerri Nigeria
Master's Degree Analytics & Applied Machine Intelligence, Master's Degree Analytics & Applied Machine Intelligence at Northeastern University
Certified Enterprise Application Developer and Solution Architect on Java Platform Computer Software, Certified Enterprise Application Developer and Solution Architect on Java Platform Computer Software at National Institute of Information Technology
English, French