Students, developers, researchers, and engineers are welcome, whether you are building your foundation, untangling a difficult challenge, developing something new, or considering your next step. My experience spans engineering, competitive machine learning, research, and substantial technical work on GitHub, supported by Kaggle Expert status, an M.Eng. in Computer Engineering, and Claude and AWS certifications. My work includes Computer Vision, Reinforcement Learning, NLP, Deep Learning, Kaggle competitions, technical portfolios, and career development. I can help with: - Projects: Architecture, implementation, debugging, optimisation - GitHub & Portfolios: Technical review, documentation, refinement - Kaggle: Competition strategy, modelling, validation - Research: Methodology, implementation, technical direction - Careers: Portfolio development, career direction - Collaboration: Ideas, research, and potential collaborations I believe learning should extend beyond the classroom. My Computer Engineering and M.Eng. repositories freely share the coursework, notes, projects, implementations, and reference material from my academic journey. They are there for anyone who wants to learn, revisit, or build upon them. A personal conversation offers something different: a second perspective, thoughtful feedback, and space to work through the details that matter to you. Bring a problem, project, or idea. We’ll work through it with clarity and purpose.