I actively contribute to the scientific community through software and code reviews, dataset validation, ML and AI architecture evaluation, and consultancy and advising positions with government departments and partner organizations. I lead and support teams to improve their software architectures and data management strategies by reviewing research codebases, ML pipelines, and open datasets for scientific rigor, reproducibility, and ethical AI practices. I have assisted government departments on AI and ML applications, including creating robust ML pipelines for public health surveillance, education technology systems, and financial inclusion platforms. These engagements typically involve in-depth software infrastructure inspections, optimization opportunities, and help on designing secure and scalable AI-enabled solutions. I review publications, software artifacts, and datasets for national and international AI and ML conferences. I also evaluate researchers and research projects at Makerere university and across collaborative networks, concentrating on AI system quality and integrity. Beyond formal reviewing, I co-organize workshops, hackathons, and conferences on responsible AI, data-driven innovation, and interpretable machine learning to bring academics, government agencies, and industry partners together. I promote research integrity by incorporating open scientific practices into the projects I lead and releasing well-documented open-source code and datasets. I mentor and engage underrepresented groups in software engineering and AI, and advocating for institutional recognition of non-traditional academic outputs like dataset creation and algorithmic toolkits are also part of my leadership. I co-lead and oversee curriculum reviews for AI and ML in my department, where I ensure inclusion of ethical coding, software security, and scalable ML architecture design. These combined efforts demonstrate my dedication to boosting AI research ecosystems through rigorous code and software evaluation, high-level advising roles, and ethical, inclusive, and innovative research environments worldwide.