Max Allen
Max Allen is a recent Computer Science graduate from MIT with a Bachelor of Science in Computer Science and Engineering. Fluent in Mandarin Chinese, Max has a diverse range of technical interests, including distributed systems and machine learning. Beyond the tech world, Max is passionate about startups and entrepreneurship, language learning, US-China relations, and negotiation.
During his academic journey, Max studied at Maret for his earlier education. He then pursued his BS in Computer Science and Engineering from the prestigious Massachusetts Institute of Technology. To enhance his language skills, he also undertook non-degree Chinese language programs at Tsinghua University and National Taiwan University, showcasing his commitment to cross-cultural communication.
Max's professional experience is quite impressive, having worked in various prominent organizations. He served as a Software Engineer at Neeva, bringing his technical expertise to the field. Prior to that, he gained valuable experience as a Software Engineering Intern at Databricks and Airbnb. He also contributed as a Garage Software Developer Intern at Microsoft and as a Venture Partner at Contrary Capital, displaying his versatility in different roles.
Furthermore, Max's involvement in academia and startup environments underscores his dedication to personal and professional growth. He served as a Teaching Assistant and Lab Assistant at MIT, demonstrating his commitment to education. Max also held roles such as Startup Co-Chair at Hacking Arts, InnovateEDU Management at StartLabs, and Reinforcement Learning Engineer at MIT Unmanned Aerial Vehicle Team, showcasing his diverse skill set and interests.
With a background that includes working as an Intern on the Community Team at Quirky Inc, Max has honed his abilities in various settings, further enriching his knowledge and experience. Through his multifaceted journey, Max Allen continues to demonstrate a strong passion for technology, entrepreneurship, intercultural communication, and continuous learning.
