Senior AI Engineer

A highly accomplished Senior AI Engineer and Machine Learning Architect with 12+ years of experience building and deploying cutting-edge AI/ML systems at leading tech companies and innovative startups. My expertise spans LLMs, computer vision, NLP, and MLOps, consistently solving complex problems and driving impactful results across various industries.

5+ Years Experience
4+ Projects
12+ Technologies
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Available for work
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About Me

A little more about my journey

Throughout my career at prominent organizations like Google DeepMind, Meta, Amazon, and Netflix, I have spearheaded the development and deployment of large-scale AI solutions. My work encompasses diverse areas such as generative models for protein folding, real-time object detection, fairness-aware recommendation systems, and anomaly detection. I am passionate about pushing the boundaries of AI and leveraging its transformative power to address global challenges, from climate change to healthcare.

Clean Code Advocate
Team Collaborator
Problem Solver

Experience

Senior AI Research Engineer

Google DeepMind • Mar 2022 - Present

Spearheaded the development of AlphaCarbon, a generative protein folding model, and built scalable distributed training infrastructure resulting in a 4x speedup. Also, created knowledge-aware LLMs for scientific question answering.

Staff AI Engineer

Meta (Facebook AI Research) • Oct 2018 - Feb 2022

Architected Meta's RealTimeDet object detection system and reduced model latency by 60% using quantized vision transformers. Co-authored Meta's fairness-aware recommendation engine for 3 billion users.

Senior Applied Scientist

Amazon Web Services (AWS AI Labs) • May 2015 - Sep 2018

Designed and deployed anomaly detection models for AWS Shield and built an AutoML pipeline supporting 500+ enterprise ML workloads. Led the integration of AWS Sagemaker's distributed training with Horovod and EFA.

Machine Learning Engineer II

Netflix • Jul 2013 - Apr 2015

Optimized personalization algorithms for content ranking and dynamic thumbnails, and developed adaptive bit-rate prediction models for 200+ million users.

AI/ML Intern

Apple • Summer 2012

Developed a voice intent classifier for Siri, improving accuracy on African English accents by 35%.

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

Python
PyTorch
TensorFlow
JAX
Scala
Go
AWS
GCP
Azure
Kubernetes
SQL
Spark

Featured Projects

Some of my recent work

ClimateNet

Co-founded an open-source AI project that uses satellite imagery and temporal transformers to predict extreme climate events, deployed to African climate agencies for flood warnings.

Satellite ImageryTemporal Transformers

LLMGuard

Developed a security layer for enterprise LLMs to mitigate prompt injection, hallucination, and data leakage risks, adopted by 20+ enterprise clients and integrated into LangChain.

LLMsLangChain

MediVision AI

Created a deep learning system for retinal disease detection using fundus images, deployed in 15 rural hospitals across India and East Africa.

Deep LearningComputer Vision

SafeChat AI

Built an open-source project providing contextual moderation and real-time toxicity filtering for chatbots and generative AI applications, with 10M+ downloads on Hugging Face.

Hugging FaceNatural Language Processing

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