Our Team
Our Team
Neev Mandot
Neev Mandot
Neev has worked at the intersection of technology, strategy, and product innovation throughout his career. He began in investment banking focused on GovTech M&A, then moved into strategy consulting, advising on supply chain, finance, and digital transformation.
At UC Berkeley, he built a platform to simplify student club applications, helping hundreds connect with campus groups. In 2024, he deepened his focus on AI and product strategy at PowerSchool and Playlab AI—shaping AI tools for millions of learners and building generative AI products to enhance classroom engagement.
Neev blends strategic insight with a builder’s mindset to create products that expand access and transform how people learn and work.
Neev has worked at the intersection of technology, strategy, and product innovation throughout his career. He began in investment banking focused on GovTech M&A, then moved into strategy consulting, advising on supply chain, finance, and digital transformation.
At UC Berkeley, he built a platform to simplify student club applications, helping hundreds connect with campus groups. In 2024, he deepened his focus on AI and product strategy at PowerSchool and Playlab AI—shaping AI tools for millions of learners and building generative AI products to enhance classroom engagement.
Neev blends strategic insight with a builder’s mindset to create products that expand access and transform how people learn and work.
Jason Lee
Jason Lee
Jason Lee is a recent UC Berkeley graduate with a background in computer science and art. He has led research in algorithm design, developed software tools for data analysis and visualization, and supported academic instruction through mentorship and teaching. With a strong interest in the intersection of technology and creativity, he enjoys roles that involve both technical problem-solving and thoughtful design.
Jason sees immense potential for artificial intelligence in shaping the future of entertainment, from transforming how stories are told to enabling new forms of interactive experiences. His work blends a strong foundation in theory with hands-on experience building scalable systems.
Jason Lee is a recent UC Berkeley graduate with a background in computer science and art. He has led research in algorithm design, developed software tools for data analysis and visualization, and supported academic instruction through mentorship and teaching. With a strong interest in the intersection of technology and creativity, he enjoys roles that involve both technical problem-solving and thoughtful design.
Jason sees immense potential for artificial intelligence in shaping the future of entertainment, from transforming how stories are told to enabling new forms of interactive experiences. His work blends a strong foundation in theory with hands-on experience building scalable systems.