Portfolio / Applied AI / Product Engineering
AI and software engineer building applied machine-learning systems, production web apps and ambitious technical products. The through-line is simple: turn ambiguous, technical problems into working systems people can actually use.
1st
BSc Artificial Intelligence & Computer Science
CTO
Co-founded and built a launched travel-tech platform
57k+
Generated molecules analysed in ML research pipeline
How I work
I care about taking rough ideas through design, implementation, release and iteration.
A strong technical system only matters if real users can understand it, trust it and use it.
I am comfortable crossing product, frontend, backend, data, cloud and stakeholder conversations.
Selected work
AI / ML Research
A multi-stage ML system combining ChemBERTa embeddings, natural-language data augmentation, autoencoders, transformer generation, reinforcement learning, RDKit validation and a researcher-facing web app.
Startup / Full-stack Product
A web and mobile travel-tech platform for helping companies book and manage longer-term worker accommodation.
Research Internship
Research work exploring machine-learning architectures for digital chemistry, including autoencoder-based approaches for computer vision tasks.
Experience
Matched Stay
Leading technical development, product design and deployment of a travel-tech platform while supporting client acquisition, investor conversations and release planning.
University of Birmingham dissertation
Built a multi-stage AI drug discovery pipeline combining generative models, reinforcement learning, classifiers, cheminformatics and LLM-based data augmentation.
University of Birmingham
Experimented with machine-learning architectures for digital chemistry and communicated research findings to technical domain experts.
Stack
