Ted Li Email & Phone Number

San Francisco, Ca, Us

Irvine, California, Us

Using AI to change the way we make games.

Los Angeles, California, Us

• Designed and implemented the entire data ecosystem at Blitz App, including data storage, collection, warehousing, processing, lineage, analytics, machine learning, dashboarding, model serving. The current technology stack handles terabytes of data for millions of users every day, cleaning, validating, and performing complex transformations on data in order to support the data driven and ML/AI powered coaching product and create key business reports for the company.• Built and worked with a team to research and implement an intelligent, personalized coaching assistant in gaming, powered through deep learning, AI techniques, statistics, and traditional machine learning.• Onboarded existing and new team members onto the technology stack and created materials for each job title family.• Worked with other executives to define and measure key metrics for the company’s performance and planning, and managed and mentored data team members as they implemented the relevant reports and dashboards.• Closely involved in the strategy, product, and technological direction, including a reorganization into a matrix style company and planning for how to scale the technology into multiple games with rich AI powered coaching features.• Created job title and level expectations across the entire Data department and worked with other departments to create alignment and implement performance tracking, feedback, and planning processes throughout the company.

Mountain View, Ca, Us

• Conducted research and development on machine learning and AI solutions to optimize control in large, complex industrial buildings including services such as heating, ventilation, and air conditioning (HVAC) and processing and manufacturing.• Developed, productionized, and deployed models to handle messy, missing, real data and to support new modes of operation.• Scaled and generalized the platform from a single facility to supporting multiple configurations and onboarded all new clients.• Implemented monitoring, debugging, and onboarding tools and processes for the team to support multiple clients.• Published work at NeurIPS 2022 (Controlling Commercial Cooling Systems Using Reinforcement Learning).

Los Angeles, Ca, Us

AI Accelerator (03/2018 - 09/2020)• Conducted research in multiagent deep reinforcement learning to help build understanding of many games and improve and augment the game design process.• Implemented and adapted various state of the art reinforcement learning algorithms and deep learning architectures to different research and development projects.• Contributed significantly to designing and creating a distributed learning environment for deep reinforcement learning used internally.• Built many features for the distributed learning environment, including a distributed testing and evaluation frameworks to compare model performance and output relevant game metrics.Legends of Runeterra (03/2018 - 06/2020)• Applied research from the AI Accelerator in multiagent deep reinforcement learning to improve the design and balance process in Legends of Runeterra.• Designed and led a joint project between Data Science, Engineering, and QA, to build distributed functional fuzz testing to automatically detect and diagnose errors and pinpoint bugs and crashes.Storefront team (07/2017 - 03/2018)• Implemented, deployed, and analyzed personalized recommendation models for "Your Shop," leveraging billions of data points for over 100 million players.• Analyzed and presented findings on player engagement with various products that were released, including new game modes and microtransaction releases.• Worked on generating Year-In-Review statistics for hundreds of millions of players worldwide.• Created, shared, and presented educational resources for using PySpark, SQL, continuous integration, building production models, machine learning, deep learning, and artificial intelligence internally.

Mountain View, Ca, Us

• Further updated and tuned models.• Productionized the built models.

Mountain View, Ca, Us

• Built models to help offer special rates of health insurance to health conscious groups, such as cyclists, runners, weightlifters, crossfitters, vegans, tennis players and swimmers.

Stanford, Ca, Us

• Conducted research in the Wang Lab of Dermatology.• Elucidated the role of various proteins in epigenetic regulation.

Master’S Degree, Computer Science, Artificial Intelligence

Bachelor Of Science - Bs, Biology, General