I provide high-end consultancy for researchers and biotech organisations looking to integrate Artificial Intelligence and Machine Learning into biological workflows. With a specialised focus on Molecular Biology and Computational Genomics, I bridge the gap between wet-lab hypotheses and in-silico validation. I provide specialised consultancy at the intersection of Molecular Biology and Computational Sciences, assisting researchers and biotech organisations in integrating AI/ML workflows with traditional biological data. My work encompasses Molecular Dynamics simulations (GROMACS), NGS pipeline development, and the application of machine learning models to solve complex problems in Genomics and Protein Modelling. With a foundation built on a doctoral research background, a national AIR 23 ranking, and the curation of 34 GenBank sequence records, I offer a methodical approach to in-silico validation. My focus is on providing biologically grounded, technically robust solutions that meet the rigorous standards of modern peer-reviewed research and industrial application."