Professional Resume

• •AI Pipeline Architecture: Designed, developed, and optimised AI-driven pipelines for processing large-scale, high-dimensional datasets, enabling automated feature extraction and trend identification.
• •Generative AI (GANs): Pioneered StomaGAN, a custom Deep Convolutional GAN (DCGAN) for synthetic data generation, successfully overcoming training data scarcity to achieve 95% detection accuracy (IoU) in downstream models.
• •GPU-Accelerated Deep Learning: Developed and deployed deep learning models for complex 3D recognition tasks, integrating active vision systems and robotic automation to enhance high-throughput phenotyping workflows.
• •Data Mining & Visualisation: Engineered bespoke frameworks enabling real-time insight generation and fostering cross-disciplinary collaboration between computer science, plant biology, and robotics research teams.
• •Research Impact: Published high-impact research in top-tier journals (400+ citations), driving the application of AI and robotics within agricultural sciences and setting new benchmarks for automated phenotyping.
• •Technical Communication: Delivered technical presentations and authored detailed research reports for academic and industrial stakeholders, translating complex computational methodologies into actionable insights.
• •Leadership & Mentoring: Mentored PhD candidates and junior researchers, providing strategic guidance on machine learning architecture design, experimental methodologies, and interdisciplinary project development.

• •SQL Data Engineering: Developed SQL-based data pipelines using T-SQL, SSIS, and SSRS for scalable extraction, transformation, and analysis of large-scale prescribing data.
• •Automated Reporting: Created automated analytical frameworks to produce real-time performance metrics, facilitating data-driven decision-making for senior stakeholders.
• •Predictive Modelling: Utilised advanced statistical modelling and trend analysis to assist in predictive forecasting and comparative financial studies.

• •Large-Scale ETL Systems: Developed an in-house data analytics system to manipulate millions of datapoints, integrating large-scale ETL processes for real-time financial modelling and performance tracking.
• •Internal Software Development: Solely developed company-wide timekeeping, data analytics, and project management software, enhancing workflow automation and decision intelligence.
• •Growth Strategy & A/B Testing: Optimised product revenue and user retention through rigorous A/B testing, statistical analysis of gameplay metrics, and targeted user segmentation strategies.

A sophisticated GenAI platform simulating authorship through multi-agent orchestration and recursive self-critique loops.

• •Multi-Agent Orchestration: Engineered a complex pipeline integrating OpenAI, Anthropic, and Gemini models, with Dynamic Role Prompting to instantiate distinct author personas with persistent psychological and stylistic attributes.
• •Recursive Self-Correction: Designed a Recursive Criticism and Improvement (RCI) system where LLM critics evaluate drafts against 40+ literary metrics, automating quality assurance.
• •Advanced Prompt Engineering: Utilised Chain-of-Thought (CoT) planning for narrative structure and Meta-Prompt Evolution, where the system recursively refines its own instructions based on output quality metrics.
• •Consistency Mechanisms: Applied Latent Space Navigation and semantic anchoring to maintain long-context character consistency across full-length novel generation.
• •Full-Stack Implementation: Built the ecosystem using Next.js, PostgreSQL, and Python, featuring automated social media distribution bots and SEO-optimised content delivery.

A word puzzle game deployed on iOS and Android.

• •Full-Stack Mobile Development: Designed and built the mobile application end-to-end, ensuring responsive UI and cross-platform compatibility.
• •Backend Infrastructure: Architected a custom API and database schema to handle user authentication, game state management, and real-time leaderboards.
• •DevOps & Administration: Fully managed the deployment environment, including VPS configuration (Plesk), SSL security, and server-side optimisation for low-latency performance.

Advanced study in AI foundations, machine learning algorithms, and practical AI applications.

Specialised training in NLP techniques, transformer architectures, and language model development.

Advanced study in machine learning techniques, deep learning, and AI applications.

Research focused on 3D reconstruction of crowded scenes from multiple views using active vision, developing novel algorithms for plant phenotyping and robotic automation.

Specialised in software development and systems architecture. Received the award of Most Outstanding Project from IBM for dissertation.