Geoffrey Mwangi

Architected and maintained a Django microservices platform and improved reliability through caching and proactive monitoring. Designed RESTful APIs integrating Stripe and M-Pesa Daraja, automated CI/CD with GitHub Actions and Docker, and mentored junior developers through code reviews.

Contributed structured NLP and conversational AI annotation data covering intent classification, entity recognition, sentiment labeling, and dialogue quality assessment. Reviewed and validated model outputs against human-written references and documented annotation processes and edge case decisions.

Completed high-volume multimodal annotation tasks across text classification, image bounding boxes, semantic segmentation, and audio transcription, while maintaining platform quality targets. Documented annotation decisions and edge cases and participated in qualification and training sessions for new task types.

Labeled and annotated large-scale text, code, and instruction datasets for LLM training, following strict project guidelines for consistency and accuracy. Evaluated and ranked AI-generated responses for quality and alignment to support RLHF pipelines, and assessed code samples in Python and JavaScript.

Built internal data management tools and real-time KPI dashboards using Python with Plotly/Dash to replace manual reporting workflows. Migrated MySQL to PostgreSQL with query optimizations, productionized a churn prediction ML model with scikit-learn, and improved test coverage using pytest.

Delivered multiple client web projects using Django and front-end web technologies, including JavaScript, HTML5, and CSS3. Built e-commerce storefronts with PayPal and Stripe integrations and managed scope, timelines, and communications independently.

Assisted with vulnerability assessments and penetration testing of internal web portals using OWASP Top 10 methodologies. Monitored Splunk SIEM dashboards, escalated security incidents within SLA windows, and contributed to remediation reports reviewed by the CISO team.

Grade: Distinction (dissertation grade: A+)

Activities and societies: Dissertation: Adaptive Threat Detection in Distributed Web Systems (ML). Graduate Teaching Assistant for Python and database design labs (60+ students). Key modules included Advanced Software Architecture, Cloud-Native Development, ML for Developers, and Enterprise Security.

Completed an MSc in Software Engineering with a distinction, including a dissertation on adaptive threat detection in distributed web systems using machine learning. Served as a Graduate Teaching Assistant facilitating Python and database design labs for 60+ undergraduate students.

Grade: Final year semester average: B (Good); final project grade: A

Activities and societies: Final Year Project: School Notice Board System (Django/Python/MySQL) with role-based access control. Coursework included Cyber Security, Probability & Statistics I & II, Multivariate Data Analysis, Numerical Analysis, Calculus I, Ordinary Differential Equations, and Mathematical Programming.

Completed a BSc in Computer Science and Mathematics, finishing with a good final-year semester average and strong performance in multiple core courses. Completed a final year project building a School Notice Board System using Django/Python/MySQL with role-based access control.