Senior AI Engineer
A highly accomplished AI engineer with 12+ years of experience building and deploying cutting-edge AI/ML systems at leading companies like Google DeepMind, Meta, and Amazon. I specialize in architecting and scaling machine learning solutions for complex real-world problems, resulting in significant impact across various industries.
About Me
A little more about my journey
My career has been defined by a passion for leveraging AI to address global challenges. From pioneering work on protein folding models at DeepMind to developing fairness-aware recommendation systems at Meta and building scalable AI infrastructure at Amazon, my experience spans diverse facets of the field. I thrive on solving intricate problems using a deep understanding of machine learning, computer vision, NLP, and large language models, while collaborating and contributing to the larger AI community.
Experience
Senior AI Research Engineer
Google DeepMind • Mar 2022 – Present
Spearheaded the development of AlphaCarbon, a generative model for protein folding, achieving faster inference than AlphaFold; and created knowledge-aware LLMs for scientific QA across 20M+ PubMed articles, enhancing knowledge access and analysis.
Staff AI Engineer
Meta (Facebook AI Research - FAIR) • Oct 2018 – Feb 2022
Architected RealTimeDet, Meta's production object detection system, significantly improving efficiency for Reels and Marketplace; and reduced model latency by 60% using quantized vision transformers on mobile devices, enhancing user experience.
Senior Applied Scientist
Amazon Web Services (AWS AI Labs) • May 2015 – Sep 2018
Designed and deployed anomaly detection models for AWS Shield, strengthening DDoS protection; and built an AutoML pipeline supporting 500+ enterprise ML workloads, streamlining AI development and deployment.
Machine Learning Engineer II
Netflix • Jul 2013 – Apr 2015
Optimized personalization algorithms for dynamic thumbnails and content ranking, improving user engagement; and developed adaptive bit-rate prediction models for 200M+ users, optimizing streaming quality.
AI/ML Intern
Apple • Summer 2012
Developed a voice intent classifier for Siri, boosting accuracy on African English accents by 35%, improving inclusivity and accessibility.
Education
M.S. in Artificial Intelligence
Stanford University • 2011 – 2013
B.Sc. in Computer Science
Egerton University, Kenya • 2007 – 2011
Skills & Technologies
The tools and technologies I work with
Featured Projects
Some of my recent work
ClimateNet
Co-founded an open-source AI project predicting extreme climate events using satellite imagery and temporal transformers; deployed to African climate agencies for early flood warnings.
LLMGuard
Developed a security layer for enterprise LLMs to mitigate prompt injection, hallucination risks, and data leakage, enhancing the safety and reliability of AI systems.
MediVision AI
Created a deep learning system for retinal disease detection using fundus images; deployed in 15 rural hospitals across India and East Africa, expanding healthcare access.
SafeChat AI
Built an open-source system for contextual moderation and real-time toxicity filtering in chatbots and generative AI applications, achieving widespread adoption.
Let's Work Together
I'm always interested in new opportunities and exciting projects. If you have a question or just want to say hi, I'll get back to you!
Get In Touch