Chris Wong
Software Engineer at Anyscale- Claim this Profile
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Bio
Abe Mammen
Chris worked as an intern with the Data Science team at Bold in the San Francisco office. Very smart young man with excellent data and Machine Learning skills. He jumped right into a project that was using some advanced similarity search techniques targeted as a replacement to an existing matching/recommendation system. I knew he had a good background in ML and NLP techniques but I was impressed with his ability to build a full end to end system in a semi-production environment. Huge kudos to him. I was also pleasantly surprised to find out how little supervision he needed - he collaborated well with other team members, articulated his findings and results in a well defined manner and was a pleasure to work with. I wish him much success in his feature endeavors.
Kai Jin
Chris was our Data Science Intern at Bold in charge of implementing a similarity search method which will greatly enhance our recommendation system. He is a fast learner and has many passions in the field of data science. He worked really hard and also is a nice teammate to work with.
Abe Mammen
Chris worked as an intern with the Data Science team at Bold in the San Francisco office. Very smart young man with excellent data and Machine Learning skills. He jumped right into a project that was using some advanced similarity search techniques targeted as a replacement to an existing matching/recommendation system. I knew he had a good background in ML and NLP techniques but I was impressed with his ability to build a full end to end system in a semi-production environment. Huge kudos to him. I was also pleasantly surprised to find out how little supervision he needed - he collaborated well with other team members, articulated his findings and results in a well defined manner and was a pleasure to work with. I wish him much success in his feature endeavors.
Kai Jin
Chris was our Data Science Intern at Bold in charge of implementing a similarity search method which will greatly enhance our recommendation system. He is a fast learner and has many passions in the field of data science. He worked really hard and also is a nice teammate to work with.
Abe Mammen
Chris worked as an intern with the Data Science team at Bold in the San Francisco office. Very smart young man with excellent data and Machine Learning skills. He jumped right into a project that was using some advanced similarity search techniques targeted as a replacement to an existing matching/recommendation system. I knew he had a good background in ML and NLP techniques but I was impressed with his ability to build a full end to end system in a semi-production environment. Huge kudos to him. I was also pleasantly surprised to find out how little supervision he needed - he collaborated well with other team members, articulated his findings and results in a well defined manner and was a pleasure to work with. I wish him much success in his feature endeavors.
Kai Jin
Chris was our Data Science Intern at Bold in charge of implementing a similarity search method which will greatly enhance our recommendation system. He is a fast learner and has many passions in the field of data science. He worked really hard and also is a nice teammate to work with.
Abe Mammen
Chris worked as an intern with the Data Science team at Bold in the San Francisco office. Very smart young man with excellent data and Machine Learning skills. He jumped right into a project that was using some advanced similarity search techniques targeted as a replacement to an existing matching/recommendation system. I knew he had a good background in ML and NLP techniques but I was impressed with his ability to build a full end to end system in a semi-production environment. Huge kudos to him. I was also pleasantly surprised to find out how little supervision he needed - he collaborated well with other team members, articulated his findings and results in a well defined manner and was a pleasure to work with. I wish him much success in his feature endeavors.
Kai Jin
Chris was our Data Science Intern at Bold in charge of implementing a similarity search method which will greatly enhance our recommendation system. He is a fast learner and has many passions in the field of data science. He worked really hard and also is a nice teammate to work with.
Credentials
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Functional Programming Principles in Scala
CourseraDec, 2019- Nov, 2024 -
Machine Learning
CourseraJul, 2019- Nov, 2024 -
Google Analytics Individual Qualification
GoogleMay, 2018- Nov, 2024
Experience
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Anyscale
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United States
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Software Development
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100 - 200 Employee
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Software Engineer
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Apr 2021 - Present
Computer stuff Computer stuff
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UC Berkeley Electrical Engineering & Computer Sciences (EECS)
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United States
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Higher Education
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300 - 400 Employee
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Head Teaching Assistant
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Jul 2020 - May 2021
• Same stuff as below but more emails
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Teaching Assistant
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Jan 2020 - Jun 2020
• Teaching assistant for CS 186: Databases • Worked on autograding and programming projects • Held office hours and helped students with conceptual questions and debugging
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AppDynamics
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United States
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Software Development
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700 & Above Employee
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Software Engineer Intern
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Jun 2020 - Aug 2020
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Institute of Transportation Studies Berkeley
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United States
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Transportation Programs
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1 - 100 Employee
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Backend Developer
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Nov 2018 - Jul 2020
• Maintained APIs for realtime parking availability database • Redesigned and built monitoring system for third-party parking data sources • Developed monitoring tools for shared bike and scooter traffic in major US cities
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Data Entry Clerk
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Oct 2018 - Oct 2018
• Manually entered data • Automated manual data entry
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BOLD
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Puerto Rico
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Software Development
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700 & Above Employee
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Data Science Intern
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Jun 2019 - Aug 2019
• Built the backend for LiveCareer's new job search and recommendation system and integrated it with the existing data pipeline, eliminated a pre-processing bottleneck from old system leading to a 5x speedup • Created information retrieval metrics to benchmark existing systems and demonstrate improved search result quality • Built the backend for LiveCareer's new job search and recommendation system and integrated it with the existing data pipeline, eliminated a pre-processing bottleneck from old system leading to a 5x speedup • Created information retrieval metrics to benchmark existing systems and demonstrate improved search result quality
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California Path
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United States
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1 - 100 Employee
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Software Development Intern
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Apr 2019 - Jun 2019
• Created bus driver interface to manage requests from potential passengers for integrated dynamic transit operation (IDTO) system • Configured server to work with IoT devices serving as physical interface for drivers • Created bus driver interface to manage requests from potential passengers for integrated dynamic transit operation (IDTO) system • Configured server to work with IoT devices serving as physical interface for drivers
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University of California, Berkeley, Haas School of Business
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United States
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Higher Education
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700 & Above Employee
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Research Assistant
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Aug 2018 - May 2019
• Optimized training procedures for high performance computing environment for over 8x speedup on large unstructured corpora • Assessed gender and racial bias in machine learning models of natural language under the guidance of Professor Ming Hsu • Built tooling to assemble corpora of training data social media and news websites, train models, and visualize findings with interactive website using NLP and dimensionality reduction techniques • Optimized training procedures for high performance computing environment for over 8x speedup on large unstructured corpora • Assessed gender and racial bias in machine learning models of natural language under the guidance of Professor Ming Hsu • Built tooling to assemble corpora of training data social media and news websites, train models, and visualize findings with interactive website using NLP and dimensionality reduction techniques
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Mathnasium - The Math Learning Center
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United States
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Education Administration Programs
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700 & Above Employee
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Math Tutor
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Aug 2016 - Aug 2017
Discovered many baffling things about Common Core Math alongside K-12 students Discovered many baffling things about Common Core Math alongside K-12 students
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Education
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2017 - 2021
University of California, Berkeley
Bachelor's degree, Computer Science and Data Science -
2013 - 2017
Northgate High School
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