Boniface Godwin

Developed a RAG-based medical chatbot using an open-source Llama 3.2 model and LangChain, applied prompt‑tuning to improve LLM responses, and implemented an AI predictive maintenance system that reduced unplanned downtime through sensor feature engineering and SVR models.

Contributed to development of custom LLM solutions using Python, PyTorch, Scikit-learn, and Hugging Face, participating in full project lifecycle from ideation to deployment for cross-industry clients.

Designed, fabricated, and evaluated a hybrid solar-powered egg incubator achieving a 90% hatch rate and improving cost efficiency; presented findings at the 6th CODET student project competition.

Facilitated tutorials for core courses (Engineering Mathematics, Control Engineering, Fluid Mechanics) for over 200 students per semester and mentored final-year students, contributing to a 98% graduation rate among mentees.

Performed planned maintenance on eight industrial machines with a team of five, conducted daily operational audits, and analyzed over 400 rows of operational data to inform weekly maintenance planning.

Fabricated industrial equipment performing drilling, cutting, and welding; contributed to construction of an industrial fertilizer plant and a mechanical blower as part of a four- to five-person team.

First-year Master of Science in Engineering Artificial Intelligence at Carnegie Mellon University Africa with coursework in applied stochastic processes, robotics, and applied machine learning.

Grade: First Class Honours (CGPA 4.73/5.00; WES equiv. 3.82/4.0)

Activities and societies: Undergraduate research project; presenter at 6th CODET Engineering Student’s Project Competition; Head Tutor, Mechanical Engineering Department

Completed a Bachelor of Engineering in Mechanical Engineering with First Class Honours, graduating top of class and completing a final-year project on a hybrid solar-powered egg incubator.