❖ Developing and implementing automated route planning algorithms for fleet management, resulting in over 30% reduction in overall delivery time. ❖ Successfully integrated the fleet's system with over 5 client’s systems, ensuring seamless data exchange and enhancing operational efficiency. ❖ Conducted regular debugging and monitoring of the application, achieving a 95% decrease in system downtime and improving overall system reliability.

Neural Labs Africa | Sep 2022 - Apr 2022

Machine learning engineer

❖ Developed computer vision models for pathology diagonis using Torch, achieving an accuracy improvement of over 88% based on Dice Score. ❖ Created API endpoints using PyTorch and FastAPI, resulting in 2 times faster response times compared to previous endpoints. ❖ Successfully migrated the entire application architecture from DigitalOcean to AWS, enabling faster computation and leveraging a wider range of services within the same platform. ❖ Implemented a DevOps solution pipeline using Docker images and Kubernetes (k8s) for orchestration, coupled with Git Actions, resulting in over 80% reduction in development and deployment workload. ❖ Developed secure and scalable backend API endpoints using FastAPI, which are currently in use, providing reliable data consumption via web pages. ❖ Implemented monitoring tools using Prometheus and Grafana to continuously monitor application performance and ensure system reliability.

My Education

Take a look at my formal education

Bachelors Degree in Computer Science in Computer ScienceMultimedia University of Kenya | 2022

About Me

Passionate and driven computer engineer with a deep focus on advancing innovative solutions through software engineering. Well-versed in both the theoretical and practical aspects of data engineering and machine learning.

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