Ngesa Marvin
@ngesamarvin
Deep Learning Engineer with 8+ years of experience
KenyaWhat I'm looking for
As a seasoned Deep Learning Engineer, I leverage my expertise in machine learning frameworks like TensorFlow, Keras, and PyTorch to develop innovative AI-powered products across various industries. With a strong focus on generative AI techniques, I have a proven track record of creating impactful real-world solutions.
Throughout my career, I have developed and implemented multiple GenAI and LLM-powered solutions, including chatbots, intelligent video search, and telematics insurance. I am passionate about empowering customer-facing teams and driving business growth through AI-driven solutions.
In addition to my technical expertise, I am an avid community builder and have organized numerous workshops, meetups, and conferences focused on Data Science, machine learning, and AI. I am committed to strengthening the African Machine Learning Ecosystem and have reviewed 50+ applications for the Deep Learning Indaba.
Experience
Work history, roles, and key accomplishments
Device Manager
Safaricom PLC
May 2022 - Present (3 years 1 month)
As a Device Manager at Safaricom PLC, I developed and implemented multiple GenAI and LLM-powered solutions, including a RAG system for academic papers and an intelligent video search system. I utilized advanced prompt engineering techniques to enhance LLM interactions and implemented driver risk profiles to reduce insurance premiums.
GDE – TensorFlow, ML
Google Developer Groups
Dec 2023 - Present (1 year 6 months)
As a Google Developer Expert, I conduct workshops on Keras, TensorFlow, and PyTorch, and develop training materials on computer vision and Generative AI for various communities across sub-Saharan Africa.
Community Engagement
Nairobi AI
Feb 2014 - Present (11 years 4 months)
As the founder of Nairobi AI, I organize workshops and meetups focused on data science and AI, providing training for over 4000 developers. I also engage in various speaking events to promote machine learning and AI awareness.
Solutions Engineer – IoT/AI
Liquid Telecom
Feb 2019 - May 2022 (3 years 3 months)
In my role as Solutions Engineer at Liquid Telecom, I developed machine learning models for plant health disease identification and optimal irrigation scheduling, significantly reducing costs. I also designed ML pipelines for network management and implemented CI/CD for cloud deployments.
Education
Degrees, certifications, and relevant coursework
Ngesa hasn't added their education
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Tech stack
Software and tools used professionally
Availability
Location
KenyaAuthorized to work in
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