Felix Kuria

Designed and orchestrated intelligent agents using LangGraph, CrewAI, and LLMs from OpenAI and Anthropic, applying software design and design patterns to support automation in financial modeling, legal assistance, and career guidance. Contributed to a traffic emissions prediction system using computer vision and YOLO-based vehicle detection.

Worked on the Rafikey chatbot, applying programming, back-end web development, and NLP techniques with OpenAI to deliver accurate, contextual, and natural conversations. Contributed to fine-tuning models and integrating vector databases for retrieval-augmented generation, improving response accuracy and knowledge consistency by over 85%.

Utilised NLP techniques and LLMs like OpenAI to enable chatbots to understand user intent with 90% accuracy. Designed and deployed task-specific AI agents using LangGraph and CrewAI, automating up to 70% of routine workflows, and developed computer vision solutions for pest and disease detection using YOLO and OpenCV.

Developed a robust web application using the Django framework, resulting in a 20% improvement in user satisfaction. Led the complete design and implementation of the application's database, optimising data storage and retrieval, reducing query response times by 25%, and contributed to code reviews and testing, reducing post-release defects by 15%.

Pursued a Bachelor's degree in Mathematics and Computer Science, with coursework in Probability and Statistics, Generalised Linear Models, and Applied Statistics.

Completed the Kenya Certificate of Secondary Education.