Boniface Godwin

Collaborated with a team of ML engineers to develop a Medical Chatbot that utilizes a Retrieval-Augmented Generation (RAG) system, leveraging the Meta Llama 3.2 open-sourced model and LangChain.
Optimized an existing Large Language Model (LLM) project through the application of prompt-tuning to enhance the response quality of the model.
Engineered and implemented an AI-based predictive maintenance system to reduce unplanned downtime in industrial operations. Analyzed sensor data, performed feature engineering in Python, and developed a Support Vector Regression model.

Worked towards developing custom Large Language Models (LLMs) to solve complex, real-world problems for clients across various industries.
Developed knowledge on the implementation of AI models using Python, PyTorch, Scikit-learn, and Huggingface, demonstrating proficiency in key industry tools.
Collaborated in team-based brainstorming sessions to conceptualize and design new AI solutions, contributing to the full project lifecycle from ideation to deployment.

Contributed to a team of 5 to perform daily planned maintenance of 8 industrial machines, ensuring operational efficiency and minimizing unscheduled interruptions.
Conducted daily audits to collect data on machine operations, meticulously documenting the functionality and performance of each unit.
Analyzed and prepared collected data using Excel, deriving key insights from over 400 rows of data sheets for weekly planning and strategy meetings.

Fabricated industrial machines by performing mechanical operations such as drilling, cutting, and welding, demonstrating hands-on technical skills.
Contributed to a team of 5 in the end-to-end construction of an industrial fertilizer plant, utilizing local materials and fabrication processes.
Collaborated with a team of 4 to construct a mechanical blower for an industrial fertilizer plant.