Boniface Godwin

Developed a medical chatbot utilizing RAG architecture, collaborating with team members to design and implement the chatbot powered by LangChain and LLaMA 3.2. Enhanced LLM performance through advanced prompt-tuning techniques, leading to an increase in the model's accuracy. Fine-tuned the DeepSeek R1 Distilled LLaMA 8B model for medical Q&A, implementing parameter-efficient fine-tuning techniques

Collaborated in a team to develop a medical chatbot powered by Retrieval-Augmented Generation (RAG) using Langchain and Llama 3.2. Improved an existing large language model project through prompt-tuning to enhance the LLM model's response. Built a machine learning model to detect positive or negative sentiments in tweets using logistic regression.

Collaborated with a cross-functional maintenance team to perform daily preventive maintenance on 8 industrial production machines, ensuring continuous operation and minimizing downtime. Carried out daily auditing for data collection on machine operations, taking records of the functionality of each machine. Analyzed collected data using Excel, processing over 400 rows of Excel sheets for various m

Carried out fabrication of industrial machines using mechanical operations such as drilling, cutting, and welding. Constructed an industrial fertilizer plant with a team of 5, building it from start to finish using local materials and fabrication processes. Participated in a team of 4 in the construction of a mechanical blower for an industrial fertilizer plant.

Grade: First Class Honours CGPA: 4.73/5.00

Activities and societies: Best Graduating Student, Department of Mechanical Engineering; Dean’s List Mechanical Engineering Department; Department of Mechanical Engineering Scholar of the year award; Winners, BlockHeader Web3 Hackathon; Federal Government Scholarship awardee; MTN Science and Technology Scholarship Scheme awardee; Agbami (Deep Water) Special Medical and Engineering Professionals Scholarship Award; Head Tutor, Mechanical Engineering Department. FUTminna

Achieved First Class Honours with a CGPA of 4.73/5.00, ranking 1st in a class of 102 students. Studied Mechanical Engineering, gaining a strong foundation in engineering principles and applications.

Completed a specialization in Deep Learning, enhancing knowledge in neural networks and advanced machine learning concepts. Gained practical experience in building and optimizing deep learning models.

Completed a specialization in Machine Learning, covering fundamental algorithms and techniques. Developed skills in data analysis, model training, and evaluation.

Completed an introductory course in Machine Learning, gaining foundational knowledge in the field. Explored basic concepts and applications of machine learning.

Completed a course on Python for Data Science, AI, and Development, focusing on programming skills essential for data-driven applications. Acquired proficiency in Python libraries for data manipulation and analysis.

Completed the AI Career Essentials program, focusing on foundational skills for a career in Artificial Intelligence. Gained insights into the AI industry and career pathways.

Participated in the Aspire Leaders Program, focusing on leadership development and global challenges. Engaged in discussions and activities designed to foster leadership skills.

Completed the Google Digital Skills for Africa program, acquiring essential digital literacy and business skills. Gained knowledge in online marketing and digital tools.