• Define & lead the commercial strategy of a startup providing cloud software for point cloud & LIDAR data processing for surveying companies. • I identified an opportunity in the surveying software industry & developed the key point of difference that make our product unique in the market, developing a product strategy to make Correvate a category leader. • Our services are 4x faster than the nearest competitor and save 80% of users’ time, increasing revenue opportunities by 4x. • As part of my product strategy, I leverage a combination of AI, deep learning & cloud computing techniques to analyse & classify point cloud data & extract automatic insights at scale.

• Member of the company's executive board, providing advice through multiple investment rounds.• Provided commercial & technological leadership to the board about the company's operating market.

• Assembled & expanded the product, customer support and DevOps teams to bring engineering practices in the company to the highest standards.• Re-implemented SDLC processes with scrum methodology to make product releases more frequent & effective.• Oversaw a major refactoring of the company's product to achieve higher engagement with customers.• Key player on the implementation of cross-department processes e.g. HR, recruitment, tech and sales.

• Led the SaaS product development lifecycle for a predictive analytics company focused on customerservice data, including the creation of the scalable machine learning pipeline (NLP), creation of theproduct UI & creation of the backend scalable infrastructure based on micro-services.• Designed the software architecture using AWS to deliver high availability andscalability to handle high amounts of model predictions per second. Optimised infrastructure andoperations costs.• Defined the tech strategy, helped with product-market fit, implemented GDPR compliance and ISO 27001, filed & granted PrediCX core tech patent.• Created a nearshore office for software development containing DevOps, product development andcustomer support teams, ensuring stronger financial efficiency.• Run research & development projects with the Alan Turing Institute and top European universities.• Curated highly talented computer & data science teams, defining the SDLC using scrummethodology and CI/CD.

• Member of the company's executive board, providing advice through multiple investment rounds.• Provided commercial & technological leadership to the board about the company's operating market.

• Led the development of data pipelines and suite data analytics to process and analyse customer data.• Restructured and expanded the data science team to achieve a faster shipping rate.• Developed the new text AI techniques which marked the USP of the company product.