Gold Coast
Founder & CEO at Alesko.ai - on a mission to build smarter software for creative and professional services. We’ve launched AI-driven platforms that deliver real results for clients across Australia and beyond. After past exits and hands-on leadership, I’m now scaling Alesko.ai, backed by a product-market fit, a high-performing team, and big ambitions for growth. We’re seeking VC partners who value impact, speed, and founder-led vision. Let’s connect if you want to help shape Australia’s next SaaS success.
Advised a portfolio of business clients on the strategic adoption of AI and emerging technologies to drive growth and operational efficiency. Designed and architected bespoke AI and tech systems, creating detailed roadmaps for implementation that aligned with each client's long-term commercial goals. Led the end-to-end management of technology implementation projects, overseeing everything from initial system design to final deployment and integration. Specialised in building scalable technology infrastructure and AI solutions that provided clients with a distinct competitive advantage in their respective markets.
Defined and executed the end-to-end technical vision for all AI/ML initiatives, from research and prototyping to production deployment and maintenance. Led the architectural design of scalable and robust AI systems, creating a resilient framework to serve a global client base. Oversaw the complete lifecycle for designing and building custom AI integrations for international companies, ensuring alignment with both technical requirements and business goals.
Developed and implemented software(python) to analyse and interpret complex financial datasets, Mainly focused on Market movements and building strong models for market analysis. Applied data analytics techniques to extract actionable insights from large-scale financial data, supporting data-driven decision-making. Assisted in the development of Python-based tools for data cleaning, transformation, and visualisation. Gained hands-on experience with key financial analysis libraries, including Pandas, NumPy, and Matplotlib, to build practical applications.