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Personalization and Recommendation System @ Roku Skillsets:- Data Science: Python, PySpark, Spark, Tensorflow, Pytorch, SQL, R, AWS, GCP, Kubernetes, Docker, Redshift, DynamoDB, C, C++, VBA, Microsoft Excel, Domo, Tableau- Specialization: Data Science, Machine Learning, Recommender System, Deep Learning, Reinforcement Learning, MLOps, Machine Learning Pipeline, Business Analytics, Product Development, Product Management, Innovative mindset, Communications skills.- Etc: Snowboarding, Swimming, MLB fan, What I did before:- CAE: FEM(Nastran, Patran), CFD,(Fluent, OpenFOAM), Simsmart(P&ID simulation)- CAD: CATIA(Part/Surface/Assembly Design, Aerospace Sheetmetal Design), AutoCAD, NAPA, SIKOB- Specialization: WIG Craft specialist, Software Engineer, Naval Architect, Aerospace Engineer, Ship Design, Ship Structural Design, Hydrodynamic, Aerodynamic, Structural Analysis, Airframe Design, Aircraft Jet Engine, Ship Navigational system design, Project Management, Budgeting, Planning, Procurement, Startup Investment, Business Strategy, Investor Relation, Sales and Marketing
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Sr. Sw Machine Learning EngineerRoku Inc. Jun 2022 - PresentSan Jose, California, UsRecommendations -
Software Engineer, Machine LearningMeta Jun 2021 - Jun 2022Menlo Park, Ca, UsLarge scale recommendations for Jobs and Newsfeed -
Machine Learning Engineer/Data Science ManagerPeacock Tv May 2020 - Jun 2021New York, New York, UsTensorflow / TFX / Kubeflow / Recommendation System / Personalization / ML / AI -
Machine Learning Engineer/Data Science ManagerNbcuniversal Media, Llc Oct 2019 - Jun 2021New York City, Ny, Us• Productionize machine learning models and automate deployment process by using MLflow, Docker, Kubeflow, Kubernetes(EKS) in AWS environment• Developed end-to-end personalized recommendation system pipeline for NBC video streaming app by using Collaborative Filtering(Matrix Factorization, ALS - Spark MLlib) and Deep Learning(Tensorflow) -
Data ScientistNbcuniversal Media, Llc Jan 2019 - Oct 2019New York City, Ny, Us• Designed and Performed A/B testing to experiment between multiple algorithms• Created ETL process by using Spark Streaming and Delta Lake -
Data Science InternNbcuniversal Media, Llc Jun 2018 - Dec 2018New York City, Ny, Us• Built time series models using ARIMA and GAM to forecast daily/weekly business KPIs• Established time series analysis procedure in Python to process data from multiple sources and improve forecast accuracy• Created TV show scoring system and dashboard to deliver real-time performance of shows in digital platforms -
Data Science InternJobjet May 2018 - Aug 2018Santa Monica, Ca, Us• Designed collaborative-filtering recommendation model in Python(sklearn, tensorflow) to identify best candidates for clients -
Software Engineer / Naval ArchitectHyundai Heavy Industries Co., Ltd Feb 2017 - Aug 2017Ulsan, Kr"Hyundai Heavy Industries Co., Ltd is the world's largest shipbuilding company providing 4 main business: Shipbuilding, Offshore & Engineering, Industrial Plant & Engineering, Engine & Machinery"• Automated ship design optimization by scripting in VBA to interface Excel and power prediction tool, helping the design team to reduce design variation M/H by 90% and improve ship efficiency by 3%• Developed ship initial design software add-ons, helping the Initial Design Team to reduce design appraisal document production M/H by 20% -
Software EngineerSecure Soft Inc Jun 2016 - Nov 2016• Developed software toolkit using C++ and Windows OS DLL hook API in Microsoft Visual Studio/SVN/ Redmine environment, automating field implementation procedure to reduce installation time by 20%
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Chief Technology OfficerWing Ship Technology Corp. Jan 2013 - Jul 2015"Wing Ship Technology Corp. developed the world’s first commercial Wing-In-Ground (WIG) craft, a cutting-edge technology of marine transportation with 180km/h cruising speed and one-third of fuel consumption (US $44M)"• Synthesized and led cross-functional teams including internal and external stakeholders by showing proactive leadership and rigorous plan, receiving the craft’s safety certificate of Lloyd’s Register, U.K.• Designed data acquisition plan of the sea trial and developed the best flight model to forecast both safe and performance enhancing control parameters, achieving the craft’s successful first flight in 2013• Coordinated with international suppliers in more than ten countries, reducing half of the development cost but improving all functionalities of the craft to guarantee safety[WIG craft Propulsion System Development] 2012-2015• Project manager• Planned and organized the project. Wrote and defended US$1.3 million budget• Coordinated WIG craft application of aviation turboprop engine with Pratt & Whitney Canada(PWC)[WIG craft Certification of Lloyd’s Register(LR)] 2010-2013• Organized WIG craft approval plan with LR Design Appraisal Office in Rotterdam• Coordinated design and construction survey for local surveyors of LR• Developed and submitted relevant documents including "Structural plans and analysis reports", "Sea trial analysis reports" to LR -
Software EngineerWing Ship Technology Corp. Jul 2008 - Dec 2012• Solved a mapping problem of different grid type computational models of 1 million nodes using search algorithm and OpenMP parallel computing API in C++, enabling engineering team to build realistic model• Automated transferring data between CATIA and Excel using VBA API to optimize design parameters and enable real-time visualization of design modification, reducing estimated design period to 25%• Developed motion simulation program by using C++ and numerical analysis to predict water resistance and impact load of the Wingship -
Structural EngineerWing Ship Technology Corp. Jul 2008 - Nov 2012• Researched the problem of craft’s speed stuck at 30 knots and solved by modifying the air flow in the air cushion system, increasing the ship’s speed to the designed take-off speed of 60 knots.• Analyzed structured and unstructured data from five different sources to build a structural model, predicting aerodynamic and hydrodynamic loads in 95% accuracy compare to the test flight results• Developed structural design(CATIA) and analysis for both airframe and ship hull(NASTRAN, PATRAN) by systemizing the design and test procedure• Initiated the Wingship production by contacting every approved manufacturers and coordinating them to provide customized parts and materials. -
Software EngineerMarine Technology & Information Jul 2003 - Jul 2006• Created a real-time ship behavior simulation solution using C++ to optimize and visualize the ship operation, helping to reduce the expected operation time by 70%
Ben Kang Skills
Ben Kang Education Details
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Usc Marshall School Of BusinessBusiness Analytics -
UdacityComputer Science -
Seoul National UniversityNaval Architecture And Ocean Engineering -
Daejeon Foreign Language High SchoolEnglish
Frequently Asked Questions about Ben Kang
What company does Ben Kang work for?
Ben Kang works for Roku Inc.
What is Ben Kang's role at the current company?
Ben Kang's current role is Sr. SW Machine Learning Engineer at Roku.
What is Ben Kang's email address?
Ben Kang's email address is be****@****ook.com
What schools did Ben Kang attend?
Ben Kang attended Usc Marshall School Of Business, Udacity, Seoul National University, Daejeon Foreign Language High School.
What skills is Ben Kang known for?
Ben Kang has skills like Data Visualization, R, Business Analytics, Python, Tableau, Data Analytics, Sas, Microsoft Excel, Sql, Machine Learning, Numerical Analysis, Microsoft Office.
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