I design intelligent, data powered scalable systems at the intersection of machine learning, natural language processing, and software engineering—always with a human-centered lens. My work blends cutting-edge techniques with practical impact, from building semantic search engines powered by knowledge graphs and LLM embeddings to training transformer-based NLI models and deep learning pipelines for image, air quality, text, and mail analysis. I've also explored generative modeling, knowledge-based AI, theorem proving, and full-stack development using both relational and NoSQL technologies as well as graph database techniques. I have experience in cloud techiques, advanced distributed systems and low level programming projects described in more depth in the projects section.

Alongside technical depth, I bring leadership experience as Chair of the University of Manchester’s Computer Science Society, where I’ve led tech initiatives and cross-sector collaborations with leading tech companies and research groups. I have worked within research environments as part of a fellowship, for my final year thesis and have also held multiple part time roles in technical and non technical settings. Whether I’m developing AI systems or mentoring a team, I’m driven by a commitment to clarity, creativity, and meaningful innovation.

Feel free to explore my projects or get in touch.

I have been  learning and experimenting with many technologies, languages and frameworks. I have a growth mindset whereby I believe in expanding my skillset on a  regular basis which I have been actively doing in the following ways: