Alex Pavlides

Building agentic AI systems for a biotech data platform, including natural language query agents over structured biomedical databases and an extraction pipeline for nucleotide sequences from patents.

Built a RAG-based system for manufacturing service engineers to query equipment manuals, reducing troubleshooting time. Rescued a failing MVP by rebuilding ingestion and retrieval services.

Built an AI companion product for adults grounded in reflective practice and mentalisation, developed with NHS CAMHS clinical psychologists. Delivered a full-stack MVP as sole technical founder.

Built an NLP pipeline and decision engine prototype to help sales teams identify revenue opportunities from call transcripts. Developed three production microservices integrating Salesforce data.

Led AI strategy and execution at a seed-stage startup, building the AI function from zero and delivering production capabilities for detecting hate speech and disinformation. Helped scale company to £1M ARR.

Scaled AI capabilities for government and open-source intelligence clients. Led a cross-functional team, defined data strategy, and delivered high-impact products for intelligence analysis.

Led delivery of high-impact analytics projects across finance, manufacturing, and public sector. Managed a team of eight, including mentoring, training, and pre-sales contributions.

Developed data-driven prototypes for inventory management and stock optimisation.

Conducted applied mathematics research, developing neural mean-field models of brain circuits and publishing in high-impact journals.

PhD in Applied Mathematics from the University of Bristol, focusing on neural mean-field models of brain circuits.

MSc in Theoretical Physics from the University of Cambridge.

Grade: First Class

BSc in Physics with First Class honours from King's College London.