boniface Muguro

Contributed to software engineering and AI model improvement by evaluating, refining, and validating large language models on software development tasks.
𝗔𝗜 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴: Evaluated AI-generated responses and provided structured feedback to improve accuracy, reasoning, and coding performance.
𝗟𝗟𝗠 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: Assessed model outputs for correctness, relevance, instruction following, and consistency

Worked on evaluating and improving generative AI systems designed to assist with software development, code generation, and debugging.
𝗖𝗼𝗱𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻: Evaluated AI-generated code in Python and JavaScript for accuracy, functionality, and adherence to task requirements.
𝗗𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴 𝗔𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Identified coding errors and assessed proposed fixes and performance improvements.
𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗥𝗲𝘃𝗶𝗲𝘄: A

Supported AI model development by preparing and evaluating training data for natural language processing and reasoning tasks.
𝗗𝗮𝘁𝗮 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻: Labeled and reviewed datasets according to project guidelines and quality standards.
𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: Assessed AI-generated responses for relevance, factual accuracy, clarity, and instruction following.
𝗡𝗟𝗣 𝗤𝘂𝗮𝗹𝗶𝘁𝘆: Evaluated language-based tasks, reaso

Contributed to AI training workflows through data annotation, prompt refinement, and systematic evaluation of model-generated content.
𝗣𝗿𝗼𝗺𝗽𝘁 𝗥𝗲𝗳𝗶𝗻𝗲𝗺𝗲𝗻𝘁: Improved prompts and task instructions to support clearer, more relevant model responses.
𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆: Reviewed annotated data for accuracy, consistency, and compliance with project requirements.
𝗔𝗜 𝗢𝘂𝘁𝗽𝘂𝘁 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: Assessed generated content

Contributed to web application development by building user interfaces, backend services, and database-driven functionality.
𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Built responsive user interfaces using React, JavaScript, HTML, and CSS.
𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Developed application logic and server-side functionality using Python and Flask.
𝗥𝗘𝗦𝗧 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Implemented API endpoints to connect frontend component

Coursework: data structures, algorithms, modern web development

Coursework: NLP, computer vision, neural networks, AI ethics

May 2026

Natural Language Processing and Computer Vision
Machine Learning and Deep Learning
Run AI Models with IBM Watson Studio
AI Ethics

Completed an intensive software engineering bootcamp modeled after the Flatiron School (USA) curriculum.
Gained hands-on experience with JavaScript, React, Python, Flask, SQL, and software development best practices.
Built full-stack applications and collaborated on real-world coding projects.

Aug 2025

Sep 2025

Bachelor of Science in Computer Science with a strong academic record (GPA: 4.0).
Completed rigorous coursework in software engineering fundamentals, system design, robotics, algorithms, data structures, and technical diagnostics.

Developed strong analytical and structured problem-solving skills through hands-on projects and practical labs, with a focus on translating real-world problems into rel