Chester Chen Email & Phone Number

Santa Clara, Ca, Us

Santa Clara, Ca, Us

Working on Open-Source Federated Learning project: https://github.com/NVIDIA/NVFlare

SF Big Analytics meetup tries to cover the topics of data infrastructure, data processing pipeline, analytics and machine learning.Our speakers are from many companies and universities in Silicon Valley : Netflix, Google, Facebook, Airbnb, Uber Lyft, IBM, Yelp, Databricks, Yahoo, Stanford University, UCBerkeley, Duke University, ...http://www.meetup.com/SF-Big-Analytics/youtube: https://www.youtube.com/channel/UC9MOf69YTbmDKqr22l7aigAWe organized 19 talks in the first year, the membership has increased from 0 to 3098 members in 10 months. Over the years. we have broad support from the bay area companies. Memberships has increased steady. Date Members Feb, 2015 0Dec. 2015 3,098Apri, 2017 6,500+Jan 9, 2018 8,280June 26, 2018, 10,009Jan 2, 2019 11494May 26 2019 13003Oct 8, 2019. 14003Jan 15, 2020. 14320Jan 3, 2021. 14851Jan 3, 2022. 15264

San Mateo, Ca, Us

Lead company-wide data solutions. Built & managed high performance teams consists of software engineers, data/Analytics engineers and ML engineers. We are responsible for Data Lake infrastructure, data ingestion and processing, metrics generation and reporting, visualization, slack channel metrics reporting, ML pipeline & Infrastructure (Spark/Spark Streaming, Elastic-Cluster, HBase, Kafka, Airflow, Superset, AWS + Databricks, MLFlow, Dremio and Amundsen). We leverage data to support data-informed decision-making in wide-range of business/production cases including subscriptions, camera, mobile apps, cloud media service, desktop apps, live streaming, web & e-commerce, business cost reporting, brand protection, marketing operations ( Customer data platform, CRM and Advertising) supports. We built machine learning pipelines for customer survival analysis & customer Lifetime value, user purchase propensity, media recommendations. We also built ML infrastructure for data quality monitoring, machine learning model monitoringI provided vision & roadmap for the team, provide technical leadership in architecture, design, technology stack choices. Closely collaborate with cross-functional partners in engineering, product, finance, analytics, marketing to define and build data-informed business strategy and roadmap. manage both US & Romania teams

San Mateo, Ca, Us

Responsible for GoPro data analytics platform and infrastructure. Works with different organizations within GoPro (Legal, CRM, digital marketing, Product Analytics, Desktop, Cloud, Mobile, firmware, Product teams) to achieve business goal. Provide vision and road map for the data platform infrastructure, development of new framework, data portal, visualization and machine learning infrastructure support and managing AWS and Hadoop clusters operation and cost with hundreds of EC2 nodes. Responsible for recruiting and building up the teams, training, develop process, organizing internal training: tech talks (Kafka, Deep learning, Grafana, Jupyter etc.) and group studies (machine learning)Managing development schedule and communicate to GoPro business owners on release schedules and progress, coordinates on analytics specs, drill into event details with different teams and vendors. Responsible for data platform infrastructure, transform from fixed-sized hadoop clusters to cloud-based horizontal scalable elastic cluster; adding Visualization and self-service data portal infrastructure. explore initiatives for machine learning infrastructure.Works on Spark batch ingestion framework, data platform architecture transformation, web-service infrastructure, Slack Metrics Framework and manage different pipelines. Setup Druid, Superset, exploring machine learning feature store design, feature visualization and lifecycle managementResponsible for building end to end data pipelines for CRM, Digital Marketing, e-commerce Analytics, Camera, Mobile Apps, Subscription, Clouds, media service, and social media.

San Francisco, Ca, Us

Alpine Data Labs was a Machine Learning Startup. It had been rated as one of top Analytic companies on Hadoop platform. As Engineering LeaderFocus on analytic platform and architecture; lead the engineering development process, help development planning and coordination, recruiting/interviewOrganized the weekly Tech Talk series. The talk topics range from Scala, Scala.js, Akka,Spark,Hadoop/Pig/Sqoop, UI/UX design principal to general ML Learning, ML Feature Engineering, Logistic Regression, convex function optimization, Breeze Framework, ARIMA time-series etc. We also invited many outside speakers from Stanford, UC Berkeley and Industry. This talk series has attracted audiences from other companies as well. As Architect/Tech Leader, Advocate more scalable architecture, more consistent object model. Help transition to Scala-based technology with SBT, Scala, Spray, Akka and Spark. Lead the Scala study.As hands-on managerWorked on new build system. Re-architect the test framework and convert all legacy tests to the new test framework. Redesign the configuration system. Developed the Rest API infrastructure; leading the re-architect analytic workflow engine. Updated the existing object model to make it consistent. Implemented the Spark Yarn communication channel with AKKA to enable error reporting, logging, progress and status update, real time machine learning visualization, currently working on long running spark job in yarn cluster mode. Implemented Hadoop kerberos authentication with HDFS, Spark, MapReduce, Pig, Sqoop and Hive.

Help planed and organized many meetup events in Machine Learning fields and invited many high profile speakers, the membership has grown from 1300+ to 3200 in one yearhttp://www.meetup.com/sfmachinelearning/

Tinga is an early stage start up in Financial Data Analytics space. As the first engineer, Chester is focused on building an interactive, near-real time financial data analytic platform. He recruit and built a team of engineers. He spent a lot of times on technology decisions as well the system architecture design. These include Web UI MV* architectures, build system and automation tools, testing, back-end architecture, choice of persistence stores. The technologies involved include· Backbone.js + Dust.js + JQuery + Bootstrap· Spray + Akka + Scala + EventSourced · LevelDB + Cassandra + Neo4J + MySQL + Redis· Spark· SBT + Jenkins· Amazon EC2Beyond just making choices, as a hand-on developer, Chester designed and implemented the full-stack system with many sub projects· Improve the SPA (Scala Persistence API, https://github.com/chesterxgchen/spa)· Price Importer to import historical data from data provider· Event-Sourcing based architecture (Scala, Akka, Eventsourced, JournalIO, LevelDB)· Build the Rest API infrastructure (Spray + Akka)· Multi-project build setup and test automation (SBT build system, Scala, Git, Amazon EC2, Jenkins, testNG, Scala Specs)· Spraydust : fork backbone-cellar (https://github.com/chesterxgchen/backbone-cellar/tree/master/spraydust) to show how to use spray and dust with backbone and bootstrap· Build the Web UI (Backbone.js + Bootstrap+Dust.js+JQuery). He is also experimenting with : Spark Framework NoSQL projects (Redis, Cassandra and Neo4J)

Seed stage startup... http://www.tingatech.com

San Jose, California, Us

Chester worked in architecture team. The Architecture team is responsible for the overall architecture of the product, conducting design reviews and architecture reviews; He also worked on special projects that eventually become part of the productAs Architect and developer, he took a leading role in many of the projects: such as --distributed processing project, including design, implementation and training --cluster management, auto/rolling upgrade, remote admin, cluster master migration -- leading security audit process -- Test Framework improvement -- CLI framework enhancement

Mountain View, Ca, Us

Chester was Architect at Clearwell, a leading provider of electronic discovery software. Clearwell Systems is a recognized leader in the field of electronic discovery. Using Clearwell, customers realize immediate value by accelerating early case assessments, culling-down data by up to 90%, increasing review throughput.In this role, he worked both as Architect and individual developer in scaleout re-architecture project. This role continued after the Clearwell Systems acquired by Symantec ($390 millions)

Santa Monica, Ca, Us

Director, Lead Solution ArchitectManager of the San Francisco Development Team Chester was responsible for managing San Francisco development team, developing a digital Asset management System (AMS), part of the Viia (aka Atlas/Hub) product. The AMS is the underline engine of the Viia (AMG digital media platform) and cores of the Viia product. Clients: Sony Picture, Paramount etc. As hands on developer and architect, Chester has involved many releases and sub-system developments.

Us

Development Director and Chief System Architect of ClearStory's Enterprise Media Server (EMS). As Director, Chester is responsible for leading development teams, setting development priorities & ensuring on time delivery of requirements; develop the product road maps & plans; defining & leading software engineering process improvement initiatives and measurements to improve quality.He had also participated in business development and pre- and post-sales supports. This including the partnership meetings with Adobe and IBM. As System Architect and lead developer, Chester is also responsible for EMS system architecture design, documentation and Implementation.Under Chester's leadership and with great efforts from his core development team, EMS becomes one of the leading product in the Digital Asset Management market with many clients including NBC, FastChannel, AscentMedia to name a few. EMS won the KMWorld's Trend setting Product of 2005 and 2007.

Us

Lead a development team working on Construction Management System at Citadon

Lead Wireless development team at Alta Vista

Chester was responsible for Risk Management group’s technical direction, he involved in company’s product development, system design, operation support. While at Tuttle Decision Systems (the company was later sold to Microsoft, and later to Freddie Mac.), Chester has redesigned company's core Mortgage Pricing Engine and Delivery Exchange Service.

No

As a Project Engineer, Chester provides a unique quality of balancing research and practical application. In one of his research work, Chester had devised a special optimization algorithm in structural optimization which leads the winning contract from NASA. In other projects Chester has involved Real Time Simulation for Space Shuttle Range Safety study used by AirForce.

While at Institute for Systems Research, Chester has designed a scripting language used for engineering matrix and finite element analysis. The program (using YACC and C) is capable of performing linear programming, optimization and non-linear finite element analysis, has been widely downloaded worldwide. One can find Aladin at (http://www.ence.umd.edu/~austin/aladdin.html)

Bs And Ms

Ph.D