First Class CS graduate from Coventry University. Focused on AI and ML engineering. Outside of work I enjoy going to the gym, football, basketball, films, and exploring new technologies.
View CV Download CVBuilt an end-to-end agentic pipeline for an AI hiring platform using the Anthropic SDK, replacing a fully manual, founder-run process. Designed multi-stage agents with self-checking schemas, deterministic decision logic, and bias audits, and contributed to core engineering decisions including the shared data schema.
Designed and built a digital ordering and stock management system for a £10,000 charity procurement project supplying discounted shoebox gifts to 50 community groups. Built the entire system solo, including an online order form, automated payment and confirmation flow, and a live stock dashboard with low stock alerts.
Analysed client workflows across several SMEs to identify automation gaps, then designed and delivered AI integrations that cut roughly 600 hours of manual work per month across client operations. Built and monitored production APIs connecting AI models to client data sources, tracking accuracy, latency, and user outcomes.
Designed and built 3 MVP AI prototypes as part of a fast-moving hacksquad, delivering demos to leadership that led to 2 of the 3 projects getting greenlit for further development. Designed evaluation pipelines to measure model reliability and document experiment results.
Leading engineering for a nonprofit focused on responsible AI governance, managing a cross-functional team.
Built a weather classification and removal model using CNNs achieving 98% classification accuracy on 10,000 CCTV images. Developed a RAG knowledge graph over thousands of interconnected engineering documents, and built a computer vision segmentation model on satellite imagery to classify roadside habitats.
Evaluated and improved AI-generated code across Python, JavaScript, and C++.
Founded and built an image verification SaaS using CNNs for facial and image matching, acquiring 2 paying clients and generating £5k in revenue through automated identity validation.
Prototyped data-driven technologies addressing climate resilience.
Built credit risk analysis tools and internal web applications.
First Class Honours. Specialized in software engineering, data science, and AI applications.
A-level equivalent education with focus on mathematics, physics, and computer science. 91% overall.
National Highways, 2025. 1 of 10 selected from 400 placement students.
Amazon Web Services, 2023. Top 2% of 50,000+ DeepRacer applicants.
Santander Bank, 2023. 1 of 100 selected nationwide.
Paradigm Finance, 2021.
16 Plus Schools, 2021. Top student out of 50 in the cohort.