After graduating from Columbia University, Computer Science Department, Eric worked at Morgan Stanley MUFG Securities Co., Ltd.
As the 13th employee of Salesforce.com Co. Ltd., Jun contributed as sales representative to the company’s rapid growth for 15 years, since the company began its business.
Stefano has a solid background in statistics and machine learning with a specialization in Monte Carlo methods. He has 6 years of experience with C++ and LuaJIT both of which he self-learnt. His main interests are probabilistic modeling and black-box adaptive methods.
Thierry is particularly interested in applied Mathematics in general,
David has extensive experience in the use of genetic algorithms for the optimization of non- linear high-dimensionality dynamic solutions and is generally interested in fitness landscape theory. He has applied various machine learning technologies and frameworks to solve practical problems.
Max is a quantum physicist with a strong interest in AI and machine learning. He has a PhD in quantum information theory from Imperial College London. During his PhD studies, he was awarded a JSPS fellowship and spent one year doing research in the University of Tokyo.
Vagif has been involved in research related to neural networks and deep learning since 2012, with several publications in the field. He also has several years of professional software engineering experience. He holds a
Rémy is trained in mathematics, statistics and computer science. He is a data enthusiast willing to design and implement state-of-art applications. His interests are focused on data mining, statistical analysis and machine learning with an emphasis on artificial intelligence.
Philip’s expertise spans a broad spectrum of computer science topics, including machine learning, deep learning, and image processing. He is proficient in many programming languages and works with many state of the art development and deployment tools such as Docker, AWS and Google Cloud Platform. Additionally, he is certified in Cassandra, Spark, and Cisco Networking.
Joe's goal is to build accessible and intuitive AI solutions through scalable application infrastructure and APIs. His research and educational background in natural language processing (NLP) and bioinformatics is complemented by practical experience with modern programming languages (Python, Node, Go), machine learning libraries (TensorFlow), and cloud platforms (Google Cloud, AWS). He is a certified Apache Spark and Apache Cassandra developer.
Martin is experienced in advanced machine learning and deep learning, and is trained in analyzing and processing large data sets. In the latest project Mr. Nordstrom has also worked at the forefront in computer clustering and with the architecture of an internal cluster platform. Martin is certified Apache Spark developer.
Ray is an expert in cloud computing(AWS, Google), infrastructure management, database(RDBMS, NoSQL) and server-side programming(Node, Ruby, etc). Ray is a certified Salesforce and MuleSoft developer. Ray is certified Apache Spark developer.
Frances has strong and broad client
Toshi started his career at a web marketing company as a sales person and improved his sales expertise
Emi joined reactive after experiencing a playing manager at a foreign financial company.
Yumi had various experiences