CV / Resume

Relevant coursework: Probability, Mathematical Statistics, Statistical Modelling, Applied Machine Learning, Statistical Learning, Linear Algebra, Data Structures, Computer Systems, Predictive Analytics.

• Develop PyTorch-based deep learning pipelines for multi-party speech analysis on a three-year corpus of naturalistic caregiver-child interactions, modelling conversational dynamics across speakers and developmental stages.
• Examine raw audio clips and apply speaker diarisation to align audio with transcripts, building structured features and ground-truth annotations for automated classification models.
• First author, ICIS 2026 abstract on automated classification of multi-party conversational speech.

• Develop a transformer-based model combining visual, linguistic, and BERT-derived features to predict eye-movement patterns.
• Expand and curate an eye-tracking corpus from 225k to 800k+ word fixations across skilled readers.
• Engineer Python pipelines to extract, quantify, and visualise naturalistic caregiver-child interactions for publication.

• Built an automated Python forecasting pipeline using Darts and StatsForecast for time-series preprocessing and modelling.
• Integrated the forecasting system with AWS Redshift and Lambda for real-time execution, deploying to 400+ warehouses.

• Co-designed Mwalimu AI, an AI-powered CBC curriculum planner for Kenyan educators, in Python.
• Fine-tuned the Agricare chatbot backend services, increasing response accuracy by 20%.

• Fine-tune large language models to deliver interactive computer science instruction in Hausa and other underrepresented African languages.
• Develop frontend components that integrate model outputs with the user-facing interface, walking students through coding exercises interactively.

• Coordinated with the NCSA Industry Program and university partners to identify and invite industry participants.
• Developed panel questions to align with the 2026 conference theme.
• Moderated and led industry panel discussions, facilitating structured and professional dialogue.

• Organised book drives raising $3,000+ and supporting digital skills training for 500+ youth in Soshanguve.

• Technical: Python, C++, C, Java, PyTorch, TensorFlow, NumPy, Pandas, Scikit-learn, Hugging Face, Git, Swift, Flutter, Dart, Excel
• Languages: English (fluent), French (fluent), Sesotho (fluent), Mandarin (intermediate)