I’m looking to embed myself in an ongoing or upcoming research effort within information technology, regardless of the exact domain. Whether your work leans toward Artificial Intelligence, Cybersecurity, Data Analytics, or any other niche, I can add value on a part-time basis. Here’s how I typically contribute: • Literature review & scholarly writing – synthesising current findings, drafting publish-ready sections, and managing citations in Zotero, Mendeley, or EndNote. • Data collection & analysis – designing instruments, cleaning data sets, and running statistical or machine-learning experiments in Python (pandas, scikit-learn), R, or MATLAB. • Prototype development & testing – quickly spinning up proof-of-concepts or simulation models, then documenting test protocols and results. My availability hovers around 20 hours a week, spread flexibly to match key milestones or sprint reviews. I’m comfortable collaborating over GitHub, Overleaf, Jupyter, or other shared-workspace tools and can join stand-ups or meetings across time zones when needed. Typical deliverables can include: 1. Annotated literature matrices and draft sections ready for journal or conference submission. 2. Cleaned datasets, analysis notebooks, and visualisations with commentary. 3. Well-documented prototype code plus a succinct technical report summarising performance and limitations. If your project could benefit from an additional researcher who can shoulder both theoretical and hands-on tasks, let’s discuss your goals, current progress, and immediate priorities so I can align my efforts to the areas that move the study forward fastest.