8+ Years Technical Experience | Published Researcher | 64 Professional Credentials
Python • PyTorch • TensorFlow • LangChain • RAG Systems • AWS • Azure
Years Experience
Certifications
Published Works
Data Analyst & AI/ML Engineer with 8+ Years of Technical Experience
Data Analyst and AI/ML Engineer with 8+ years of technical experience spanning data analytics, cloud engineering, full-stack web development, and IT infrastructure. Published researcher with two peer-reviewed conference papers and a published book on ethical AI.
Track record delivering data-driven insights and advanced AI systems for government, healthcare, and nonprofit organizations. Experienced in medical imaging, NLP, deep learning, and cloud infrastructure.
Multi-disciplinary technology skills
8+ years of technical experience
Kakenya's Dream - Virginia, US (Remote)
George Washington's Mount Vernon - Virginia, US
The Catholic University of America - Washington, DC
Tunga.io - Global Remote (Part-time)
Samaritan's Purse - Tenwek, Kenya
County Government of Bomet - Kenya
County Government of Kericho - Kenya
Maji Millele (NGO)
Academic journey and continuous learning
Master of Science in Data Analytics
Expected May 2026
Coursework: Database Systems, Statistical Analysis, Machine Learning, Deep Learning, NLP, Data Visualization, Medical Image Computing
Information Technology
Comprehensive IT education covering systems, networks, databases, and software development
Information Technology
Foundation in IT principles, hardware, software, and networking fundamentals
64 professional credentials
CompTIA
CompTIA
Databricks
Amazon Web Services
Oracle
Microsoft
Microsoft
Microsoft
And 55+ more certifications in AI, Data Science, Cloud Computing, and Healthcare IT
Peer-reviewed research and thought leadership
IEEE EMBC Canada 2026 (Oral Presentation)
Automated, high-accuracy wound classification and healing progression monitoring using Internet of Medical Things (IoMT) technology.
MLMI 2026 Japan (Oral Presentation)
Addressing class imbalance and decision threshold optimization for improved ICU readmission prediction using machine learning.
Theoretical Research Preprint (MSC Class: 68T05, 62F15)
Uncertainty Quantification, Advanced Decoding, and Principled Mitigation leveraging probabilistic modeling, information theory, and Bayesian uncertainty quantification.
Published Book - Amazon
Exploring the intersection of human values and artificial intelligence, and how we can build an ethical AI-driven future.
Open to work and research opportunities
Currently seeking: AI/ML Engineer, Data Scientist, Data Analyst, Researcher roles