Uchenna Oforma

Software engineer and AI specialist with hands-on experience building production-quality Python systems, debugging and optimising code across academic and commercial environments, and evaluating AI-generated outputs against structured quality frameworks. Currently completing an MSc in Computer Science and AI at the University of York, with applied work spanning software engineering, algorithm design, data structures, machine learning, and responsible AI development. Experienced in identifying bugs, logic errors, and performance issues across Python codebases, writing clean and maintainable code, and explaining technical decisions clearly in writing.

Combines commercial AI development experience from a Wayfair internship with structured AI output evaluation work at Mercor — directly relevant to reviewing, ranking, and providing expert feedback on AI-generated code.

AI Evaluation Consultant at Mercor (2026-05 – Present)

• Evaluate AI-generated outputs against structured quality and ethics frameworks, identifying reasoning failures, logic errors, and gaps in accuracy — applying the same systematic analytical approach directly transferable to reviewing AI-generated code for correctness, efficiency, and best practices.
• Provide detailed, structured written feedback explaining why outputs succeed or fail, demonstrating the ability to communicate technical assessments clearly and precisely to inform model improvement.
• Apply consistent, principled judgment across ambiguous and varied task types, developing strong instincts for identifying where AI outputs can and cannot be trusted — critical for stress-testing AI code generation capabilities.

AI Automation Intern at Wayfair (2025-10 – 2025-12)

• Built end-to-end production-quality Python automation pipelines using n8n, applying OOP design principles, exception handling, modular architecture, and logging throughout to ensure clean, maintainable, and reliable code.
• Debugged and resolved errors across interconnected Python workflows under time pressure, tracing logic errors and data inconsistencies back to source and implementing robust fixes.
• Integrated multiple external services via REST APIs, handling authentication, JSON parsing, error states, and edge cases — developing systematic debugging instincts across complex, multi-component systems.
• Engineered LLM prompts iteratively to produce consistently structured outputs, applying few-shot prompting techniques and designing edge-case scenarios to identify failure modes in AI-generated content.
• Delivered a complete four-agent AI system to production standard within a short contract window, writing clean, well-structured Python throughout with a strong focus on readability and maintainability.

Project Administrator at Troup Bywaters + Anders (2025-02 – Present)

• Built and deployed automated workflows using Power Automate, writing and debugging logic-based automation rules and validating outputs to ensure reliable, error-free execution in a live operational environment.

Quality Assurance Analyst at Specialist Care Limited (2022-10 – 2025-01)

• Applied systematic analytical processes to identify errors, inconsistencies, and failure patterns across complex operational systems — developing strong root cause analysis and debugging instincts directly transferable to code review and evaluation work.

MSc in Computer Science and Artificial Intelligence – University of York (2027)

BSc in Biomedical Science – University of Warwick (2022)

A-levels in Biology (A), Chemistry (A), Mathematics (A)