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Description
Jonathan Zaleski is the vice president of technical architecture at HappyFunCorp, a full-service product development consultancy that helps companies design, build and scale custom digital platforms and software solutions. With over 20 years of experience spanning startups, Fortune 500s and R&D teams, Jonathan blends deep technical expertise with a sharp product mindset to architect high-performing, scalable systems. He also oversees HappyFunCorp’s technical innovation, strategic AI offerings and new business development.
Description
Mahmoud Zalt is the founder of Sista AI and the creator of Sistava.com, an AI workforce platform designed for running core B2B operations. A software engineer with over 16 years of experience across backend systems, infrastructure, and developer tools, he also created Laradock.io, an open-source Docker environment with millions of downloads. Since late 2022, his work has focused on making autonomous AI systems production-ready: integrating agents with real-world tools, persistent memory, performance evaluation, and human-in-the-loop control. He builds Sistava in public and writes on agentic AI, operational automation, and the practical limits of system autonomy.
Description
Mike Zhou is a seasoned AI leader with deep applied AI development and machine learning expertise. As a thought leader in AI-driven innovation, he specializes in developing intelligent systems that optimize business performance and solve complex challenges. In his most recent position, he successfully led his team to create the first and most advanced customer-facing AI solution in the accounts receivables management industry.
Description
Sana Zia Hassan is an AI and digital transformation leader with over a decade of experience designing and scaling enterprise AI solutions across healthcare, life sciences, and regulated industries. As an AI Product Leader at EY Consulting, she has led major AI initiatives for Fortune 500 companies, developing intelligent automation platforms, accelerating drug development through predictive analytics, and implementing AI-driven regulatory and quality systems. Her work bridges technical excellence with business strategy, ensuring that AI is deployed not only for innovation but for measurable, compliant, and scalable impact.
Sana’s expertise spans generative AI, intelligent automation, product development, and AI governance. She brings a strong foundation in cloud-native architectures (AWS, Azure, GCP) and has deep experience in implementing solutions across computer vision, NLP, and advanced analytics. She is an active contributor to IEEE, a mentor to emerging talent, and an active contributor to industry standards and policies on the intersection of AI, sustainability, and ethics. Passionate about responsible innovation, she helps organizations align AI initiatives with strategic goals while fostering trust, compliance, and cross-functional collaboration
