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I love finding critical problems, designing innovative solutions, initiating projects, motivating people, leading teams to build products from scratch, and selling them to customers.Mission-driving and self-motivating software engineer with entrepreneurial spirit. Life-time learner with curiosities, smart risk taker, critical thinker, fast iterations to test hypotheses, and dispassionate assessment.---------------------------------------------------------------My tech background developed over the years:Undergraduate: coding competition (ACM/ICPC), digital watermarkMaster: parallel and distributed systems, web technologyTUDelft - Recommendation in decentralized systems, recommender system research, Peer-to-Peer networksBitTorrent - Video streamingLoomia - Recommendation as a ServiceYahoo! Labs - Machine learning, Anti-Fraud, Personalization, user modeling, reputation systems, social networksGoogle Research - Machine learning, User modeling, information extraction, NLP, large-scale cloud computeGoogle X / Mineral.ai - Customer communication, business strategic thinking, market analysis, product design; deep learning, time-series forecasting, remote sensing, computer vision, causality analysis, full-stack web development, cloud native development, robotics, drone, blockchain, DeFi and NFTCybever.ai - 3D world creation
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Chief Technology OfficerCybever Feb 2024 - PresentSunnyvale, Ca, Us- Co-founded Cybever.AI, lead the product team, which includes the software engineering, AI research and 3D artists teams.- Managed the development and implementation of multimodal foundation models and infrastructure, leading to the production of high-quality, safe, interactive, and large-scale 3D objects and environments using AI, UE5 and Unity.- Streamlined the content creation process for 3D games, movies, VR, and UGC, ensuring its smooth integration into mainstream 3D production pipelines. -
Head Of ResearchMineral.Ai Jan 2023 - Feb 2024Mountain View, California, Us- Led the research and development of LLMs, GenAI, multi-modal few-shot foundation models, and time-series forecasting as a senior staff engineer and Head of AI Research at Mineral.ai.- Founded and led several key products at Mineral.ai from inception to graduation from Google X, contributing significantly to the establishment of Mineral.ai as an independent Alphabet company.- Initiated, designed, and implemented multiple projects from scratch, managing end-to-end MVP development.- Managed customer relationships and built a team of 20-30 people, resulting in two of these products becoming major revenue streams for Mineral.ai. -
Tech Lead ManagerX, The Moonshot Factory Jul 2017 - Jan 2023Mountain View, Ca, Us- Led the Solutions team at Mineral as a Tech Lead Manager, focusing on computational agriculture using AI, robotics, cloud, and edge computing.- Integrated advanced technologies, products, and business strategies to solve major challenges and create value propositions.- Proposed, designed, and built AI-based solutions from scratch, including mobile phone perception and time-series forecasting applications, now regularly used by enterprise customers.- Co-founded the remote sensing products at Mineral, establishing data processing and machine learning systems for satellite images.- Interacted with current and potential business customers, scoped projects, and presented technical reports to C-level executives of partner companies.- Filed or issued over 10 patents and mentored more than 10 interns/AI residents.- Second-longest-serving employee at Mineral, a Google X project on computational agriculture with the potential to become an Alphabet company like Waymo or Verily. -
Software EngineerGoogle Jun 2012 - Jul 2017Mountain View, Ca, Us- Developed user portrait models at Google Research, utilizing massive Google datasets and the knowledge graph. Assigned multiple scores to each Google user within the knowledge graphs to accurately represent their interests, successfully integrating the model into various Google products to enhance personalization.- Created a large-scale, machine learning-based information extraction system from emails, extracting timely information such as shipping notifications, doctor appointments, and hotel reservations to aid Google Assistant and other personalization products.- Engineered a pipeline to process all Gmails from the past month, reducing job running time from 2 months to 8 days, and streamlined the production launch process, cutting down the workload from a day to 30 minutes.- Published 2 papers in top machine learning conferences and secured 5 patents in the field. -
Senior Research EngineerYahoo! Labs Aug 2010 - Jun 2012Sunnyvale, Ca, Us- Participated in various research projects at Yahoo!, utilizing technologies such as Data Mining, Machine Learning, User Understanding, Anti-Abuse, Social Networks, and Hadoop on extensive datasets.- Developed advanced machine learning anti-fraud models for a major Asian e-commerce website, resulting in a 50% reduction in fraud rate and a 70% decrease in spending on a buyer protection program. This achievement led to the publication of 2 academic papers in CIKM and WWW and winning the Yahoo! superstar team award.- Created user reputation and expertise models to assist Yahoo! properties in identifying valuable contributors and combating spammers and abusers. This work resulted in the publication of papers in KDD and SIGIR.- Conducted a study on customer engagement and segmentation, analyzing patterns and predicting future engagement based on extensive user activity data.- Researched social networks and influence inferring, identifying influential users and constructing affective social and interest networks based on user interaction data.- Published 4 papers in top machine learning conferences and issued 1 patent. -
Senior Software EngineerLoomia Dec 2008 - Jul 2010Us- Worked on recommendation engines and information filtering systems.- Led the development of machine learning algorithms, data analysis and visualization, reporting, and business intelligence.- Increased company revenue by approximately 20% by improving product quality and fixing hidden bugs.- Resolved numerous performance issues, reducing system response time from hours to seconds, and improving service throughput more than tenfold.- Designed and constructed a data warehouse and internal search engine from scratch.- Developed management and real-time reporting websites using the MVC framework (Pylons).- Introduced Non-Relational database (MongoDB) to improve scalability.- Solved the problem of searching and recommending Chinese and Japanese articles. -
Research AssistantDelft University Of Technology Aug 2005 - Jul 2008Delft, Nl- Developed the first version of open-source software at Tribler.org, scientific programs, simulators, libraries, user interfaces, databases, and toolkits for various research projects.- Researched distributed recommender systems, focusing on Bayesian inference, statistical modeling, and semantic-based collaborative filtering algorithms.- Developed language models for tag-based and social-based information retrieval and filtering systems, and created a distributed crawler that collected data from YouTube, Flickr, Delicious, and CiteULike for experimental datasets.- Designed and implemented an epidemic-based P2P protocol to construct semantic overlays in Tribler, a file-sharing and video streaming software downloaded over one million times.- Published 4 papers in conferences and journals on recommendation systems. -
Co-Founder And CoachAcm Team, Sichuan University Feb 2001 - Jul 2003I don't know how many days and nights I spent on ACM/ICPC programming contests when I was an undergraduate student in China, and I really enjoyed it! The latest (or earliest) contest we attended was 3am. I'm proud of being one of the founders and leaders of this team. Nowadays more and more excellent students in my mother university are joining and being trained for the contests.
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Co-FounderMiracle Studio Apr 2000 - Jul 2002We established a tech studio in campus and I was the first president. We named it Miracle Studio because we were young and believed miracles! (actually it is a combination of Microsoft and Oracle :). It was a group of enthusiastic students who were full of passion for computer science and technologies. Although miracles didn't happen to us very often, we had lots of fun together and had learnt a lot, such as discussing latest computer technologies, creating website (Lighteyes.net), meeting for brain storms, programming, traveling, and so on. It was a precious memory in our campus life for all of us, and all of us maintain a life-long friendship.
Jie Yang Skills
Jie Yang Education Details
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Stanford UniversityStatistics -
Vrije Universiteit Amsterdam (Vu Amsterdam)Computer Science
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Sichuan UniversityComputer Science
Frequently Asked Questions about Jie Yang
What company does Jie Yang work for?
Jie Yang works for Cybever
What is Jie Yang's role at the current company?
Jie Yang's current role is Co-Founder & CTO, Cybever.
What is Jie Yang's email address?
Jie Yang's email address is ji****@****gle.com
What is Jie Yang's direct phone number?
Jie Yang's direct phone number is +141570*****
What schools did Jie Yang attend?
Jie Yang attended Stanford University, Vrije Universiteit Amsterdam (Vu Amsterdam), Sichuan University.
What are some of Jie Yang's interests?
Jie Yang has interest in Data Analysis, Badminton, Supervised Learning, Home Improvement, Sci Fi, Machine Learning, Basketball, Support Vector Machines, Sports, Classification (Machine Learning).
What skills is Jie Yang known for?
Jie Yang has skills like Machine Learning, Python, Data Mining, Hadoop, Distributed Systems, Java, R, C, Matlab, Mysql, Django, Web Development.
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