Leonard Kipchumba
@leonardkipchumba
AI/ML engineer building scalable, production-ready machine learning systems.
What I'm looking for
I am a results-driven AI and ML engineer focused on developing end-to-end machine learning solutions that solve real-world problems. I translate business requirements into technical specifications and deliver scalable AI systems that drive measurable impact.
I have designed and deployed multiple production systems, including an AI resume-screening API with 92% precision and real-time object detection for retail with an 85% mAP. I emphasize robust data preprocessing, model evaluation, and continuous monitoring.
My technical toolkit spans Python, TensorFlow, PyTorch, scikit-learn, Spark, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure). I build MLOps pipelines using MLflow/TensorFlow Serving and implement CI/CD for reliable model delivery.
I value pragmatic, data-driven engineering and collaboration in Agile teams, and I seek roles where I can architect reliable ML solutions, improve model lifecycle processes, and mentor others while driving business outcomes.
Experience
Work history, roles, and key accomplishments
AI / ML Engineer
Freelance
Developed end-to-end AI/ML solutions including NLP, computer vision, and predictive maintenance systems, achieving up to 92% precision and reducing manual processing time by 70%. Built scalable model deployment pipelines with CI/CD and monitoring for production reliability.
Education
Degrees, certifications, and relevant coursework
University of Nairobi
Computer Science
Completed studies in Computer Science with coursework in machine learning, deep learning, data mining, statistics, algorithms, and database systems.
Availability
Location
Authorized to work in
Job categories
Skills
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