Jiaji Zhou was a lead principal engineer and technology leader with experience at Atlassian, Amazon, and Microsoft. His background centers on large-scale distributed systems, including microservices and databases, alongside hands-on experience in customer-facing product development. He brings both deep infrastructure expertise and the versatility to build across the product stack.

As a co-founder, Jiaji focuses on turning product ideas into practical, reliable software. His experience as an engineer and tech lead shapes how he approaches early technical decisions: understanding the customer's problem, keeping the initial solution focused, and building a foundation that can evolve as the business grows. He combines architectural thinking with hands-on execution, connecting long-term technical direction with the day-to-day work of shipping a product.

Jiaji is particularly interested in how AI can improve productivity and create new ways for people to learn and work. He values collaboration across engineering, product, and business, and enjoys working with people who bring complementary perspectives and expertise.

Outside work, he enjoys photography, gaming, mathematics, and physics.

Harry Huang is the co-founder of MeMate. He is responsible for the day-to-day operations of the company. Harry spent 9+ years in senior technology and product leadership roles (Sr. Manager of Software Development, Principal Product Manager-Technical) at AWS and Amazon Retail, leading large cross-functional organizations of software engineers, solution architects, frontend engineers, technical program managers, software development managers, and product managers. His experience spans AI-powered applications, Internet of Things (IoT), Software as a Service (SaaS), Financial Technology (FinTech), and High-Performance Computing (HPC).

His teams built AI-powered enterprise applications, IoT and digital twin solutions, and large-scale e-commerce supply chain platforms. At AWS, he built a team from the ground up and led the development of AI agent foundations and data platforms that enabled multiple AWS teams to build AI agents across domains including contact centers, supply chain, healthcare, life sciences, and security. At Amazon Retail, his organization supported a major e-commerce business generating more than $10 billion in annual revenue, achieving over 30% year-over-year growth during the pandemic while processing millions of customer orders daily. At an electric vehicle (EV) charging solution startup, he served as the software architect and led a team to build an EV charging management platform and its consumer-facing mobile applications from scratch, while advising the CEO and CTO on strategy. Earlier in his career, he developed institutional trading systems—including position management, P&L, and risk analysis—at Bloomberg Trading Solutions, used by sell-side fixed income firms on Wall Street. During his PhD studies, he successfully scaled a seismic tomography algorithm to around 20,000 CPU cores or 100+ GPUs in 2012–2013.

Harry holds a PhD in Computer Science (CS) from the University of Wyoming, an Executive MBA from the Quantic School of Business and Technology, and a Bachelor of Engineering in CS from Southeast (Dongnan) University, China.