Summary
Jennifer Kwentoh is a Machine Learning Engineer with nine years of experience building production-ready, reusable data pipelines and shipping ML models to production across cloud environments. She combines deep practical expertise in TensorFlow, PyTorch, Keras and Scikit-Learn with cloud-first deployments using AWS (SageMaker, Lambda, EC2, DynamoDB, RDS) and Azure (Gen2, EventHub, ADF), plus orchestration via Databricks, Airflow, Spark and Kafka. Her background spans data engineering and site reliability roles, enabling her to design robust, observable ML systems that meet business SLOs and continuity requirements. She founded and runs the Abuja chapter of WiMLDS, growing a 1,000+ member community and frequently speaks and teaches at tech events, reflecting a strong commitment to mentorship and open source. Notably, she led AI4Good research that produced AfriLang, an open-source NLP library for African languages, showing a focus on societally impactful AI. Currently based in Abuja, she balances hands-on engineering at Royal Voluntary Service with doctoral studies in AI/ML, blending academic rigor with production experience.
9 years of coding experience
10 years of employment as a software developer
Doctor's Degree DBA in Artificial Intelligence and Machine Learning, Doctor's Degree DBA in Artificial Intelligence and Machine Learning at Walsh College
Master's degree Computer Science, Master's degree Computer Science at Ira A. Fulton Schools of Engineering at Arizona State University
Bachelor of Engineering (B.Eng.) Information and Communication Engineering, Bachelor of Engineering (B.Eng.) Information and Communication Engineering at Covenant University
English, Spanish