Available to hire
Hi, I’m Simon Kahenya, an AI and machine learning expert with a PhD in Computer Science and Mathematics. I specialize in AI model training, large language model evaluation, data annotation, and machine learning research.
I bring over 10 years of experience across academia, research institutions, and leading AI companies, contributing to deep learning, NLP, and computer vision. I’m driven to advance AI technologies through robust model evaluation, optimization, and scalable data annotation.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Swahili
Fluent
French
Advanced
Work Experience
Senior AI Researcher & LLM Model Evaluator at Google DeepMind
January 1, 2021 - PresentLed the evaluation and optimization of large language models for accuracy, bias reduction, and efficiency; conducted cutting-edge research in AI fairness, explainability, and ethics; developed advanced AI models for deep neural networks and reinforcement learning; published peer-reviewed work in NeurIPS and ICML.
Machine Learning Engineer & AI Model Trainer at Microsoft Research Cambridge
January 1, 2018 - January 1, 2021Developed data labeling pipelines for computer vision and NLP models; evaluated text generated by AI, trained LLMs for higher accuracy; built scalable ML algorithms for real-world AI applications; led an ethical team focused on bias detection and mitigation.
Teaching Assistant & AI Research Associate at University of Edinburgh
January 1, 2016 - January 1, 2018Taught ML, deep learning, and mathematical computing; conducted AI-based mathematical modeling research; supervised undergraduate and masters-level AI projects.
Data Scientist & Machine Learning Specialist at Amazon Web Services (AWS)
January 1, 2014 - January 1, 2016Established AI-based cloud computing models for big data scaling; developed predictive models for autonomous AI operations in AWS cloud networks; contributed to SageMaker enhancements for speeding up deep learning model training.
LLM Trainer & Prompt Generator at TELUS INTERNATIONAL AI Division
December 1, 2024 - PresentDesign and evaluate high-quality prompts for AI reasoning, mathematical problem-solving, and Python coding tasks. Conduct in-depth LLM testing and refinement across mathematics, logic, and computational tasks. Collaborate with cross-functional teams on model evaluation strategies to enhance reasoning consistency. Train evaluators and oversee alignment-based model training ensuring adherence to prompt quality frameworks. Integrate SciCode tools for model testing, dataset validation, and analysis of AI reasoning structures.
AI Trainer (Part-time) at Turing Technologies
May 1, 2025 - August 1, 2025Annotated and evaluated AI model responses for mathematics and computational reasoning tasks. Designed validation checks and evaluation rubrics for STEM-related datasets. Collaborated with technical leads to test and refine model interpretability and logical reasoning outputs.
Quality Manager - Mathematics Prompt Evaluation at Outlier AI Mathematics Domain
March 1, 2024 - February 1, 2025Supervised data quality assurance for mathematics domain prompts used in LLM fine-tuning. Led prompt evaluation teams focused on ensuring clarity, accuracy, and reasoning depth in datasets. Contributed to development of metrics for assessing LLM mathematical reasoning reliability.
Lecturer Mathematics and AI Applications (Part-time) at Chelmsford Institute of Technology
September 1, 2014 - PresentTeach undergraduate mathematics and AI modules integrating programming and data analysis concepts. Develop new courses linking mathematical reasoning with AI-driven modelling and algorithm design. Supervise student research projects on applied machine learning and mathematical computation.
Education
PhD at University of Cambridge
January 1, 2016 - January 1, 2020Master's at Imperial College London
January 1, 2014 - January 1, 2016Bachelor's at University of Oxford
January 1, 2010 - January 1, 2014PhD in Computer Science & Mathematics at University of Cambridge
January 1, 2016 - December 31, 2020Master’s in Artificial Intelligence & Machine Learning at Imperial College London
January 1, 2014 - December 31, 2016Bachelor’s in Computer Science & Mathematics at University of Oxford
January 1, 2010 - December 31, 2014PhD in Computer Science & Mathematics at University of Cambridge
January 1, 2016 - January 1, 2020Master's in Artificial Intelligence & Machine Learning at Imperial College London
January 1, 2014 - January 1, 2016Bachelor's in Computer Science & Mathematics at University of Oxford
January 1, 2010 - January 1, 2014Qualifications
Deep Learning Specialization
January 1, 2021 - January 7, 2026NLP with Transformers
January 1, 2022 - January 7, 2026AI Ethics & Fairness in Machine Learning
January 1, 2023 - January 7, 2026Deep Learning Specialization
January 1, 2021 - June 22, 2026NLP with Transformers
January 1, 2022 - June 22, 2026AI Ethics & Fairness in Machine Learning
January 1, 2023 - June 22, 2026Industry Experience
Software & Internet, Media & Entertainment, Education, Professional Services, Telecommunications, Computers & Electronics
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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