Professional Experience

As Technical Lead at GOF, I designed and developed a B2C sports-data prototype before leading the pivot to a B2B predictive analytics platform for the gambling, media, and fantasy sports industries. With support from a junior engineer, I built the AWS infrastructure, data model, reporting tools, and four proprietary neural networks powering the platform.

In this role, I introduced and tested AI-driven solutions at Ito World, creating proofs of concept for transport disruption detection, dynamic traffic optimisation, and automation tools that enhanced efficiency and opened new revenue streams.

As an Artificial Intelligence Engineer at a stealth startup, I prototyped an AI-powered RAG-based component for a B2B sales app, enabling contextual search and intelligent processing of unstructured financial documents. I applied NLP techniques to extract insights, automate classification, and improve customer engagement workflows.

In my role, I contribute to creating proof-of-concept prototypes and defining the scope of Minimum Viable Product (MVP) projects. I have experience developing workflows using no-code solutions, which has helped streamline operational processes. Apart from development, I’ve had the opportunity to share insights through training sessions on Artificial Intelligence, contributing to the team’s knowledge. My responsibilities involve supporting the execution of automation processes, overseeing integration development adherence to plans, and delivering prototypes within set deadlines.

In this role, I proactively resolved tickets within SLAs, ensuring smooth automation processes and aligning integration development with plans. I facilitated onboarding for new colleagues, provided crucial support, and optimized team efficiency while ensured successful execution of key responsibilities.

In this role, my responsibilities included automatizing work for Legal, Marketing, Sales, and IT teams using VBA and Python, analyzing data, creating customized reports, and optimizing processes. I also documented code and processes in Confluence and Jira. My successes involved defining and building business needs for ETL and SQL cube processes, resulting in valuable reference points for retrieving information and predicting device lifetime using regression.

In this role, my tasks involved developing, testing, and deploying server-side code for web applications in .NET, creating automated deployment processes in Microsoft Azure cloud platform, and containerizing applications using Docker, all while following a 2-week sprint cycle.