I am a Data Scientist and AI Engineer with experience designing and deploying Large Language Model systems, ML pipelines, and intelligent agentic tools across NLP, computer vision, and analytics domains. I enjoy building end-to-end AI products that combine research-driven methods with real-world scalability.

My work ranges from developing agronomist-facing LLM assistants for farmers funded by the Gates Foundation, to creating multilingual intent and entity recognition frameworks for enterprise chatbots, to designing transformer and graph-based models for bias detection in LLM outputs. I’ve also built optimisation algorithms for digital advertising, custom ML pipelines, data engineering systems, and educational AI tools that simplify complex concepts for developers.

I am recently finished my MSc in Data Science at The University of Manchester, where I have built a multitask DeBERTa-based bias detection model and a full social listening platform integrating real-time social data with LLM-powered competitor analytics.

Alongside my academic and industry work, I enjoy building ambitious personal projects. These include an AI Operating System (MIRA) that autonomously manages system operations via natural language, and TIE (Tool Integration Engine), a graph-based framework enabling LLMs to intelligently route and call tools using knowledge graph reasoning and GNNs. I also won the StarkWare Bounty at AI Encode London 2025 for an AI-driven blockchain game project.

I am passionate about ethical AI, scalable architectures, and crafting systems that genuinely help people. My goal is to continue building advanced AI platforms, agentic systems, and LLM applications that push the boundary between automation and intelligence.