About

Kengo Arao is a highly skilled software engineer with a specialization in machine learning on large-scale production systems. He also has experience in web development using Golang and Typescript. Currently, Kengo works as a Software Engineer, Machine Learning at Mercari, where he builds and maintains microservices to automate customer support at scale for Japan's largest marketplace app. He is also responsible for designing and implementing machine learning solutions in Python, as well as frontend and backend development with React, Golang, and GraphQL. Kengo has additional responsibilities at Mercari, including being a mentor in summer internship/training programs and marketing data science providing insight into customer behavior using SQL and statistical modeling. Prior to this role, Kengo worked as a Software Engineering Intern at Mercari, where he improved a subset of existing anomaly detection systems as part of TnS (Trust and Safety) for Japan's largest C2C marketplace app. He also has experience as a Research Intern at ABEJA, Inc., where he conducted multivariate time series analysis with fbprophet on one of the major clients' visitor information, using weather and Google trends data as exogenous variations to better explain and predict the number of visitors to a given store of the retail franchise. Kengo is a highly educated individual with a Master of Science in Machine Learning from UCL, a Master of Arts in Economics from the University of Edinburgh, and a Junior Year Abroad-Erasmus Exchange in Economics and Data Science from Universität Mannheim. He is highly skilled in a variety of technologies, including Software Engineering, ML, SQL, Backend, Web, Golang, Typescript, Data Scientist, Microservices, Frontend, Python, TensorFlow, Pytorch, GCP, and Research Scientist. Kengo is actively seeking opportunities in London for software engineering positions and has 3.02 years of relevant experience. He is a dedicated, hardworking, and collaborative individual who is passionate about using his skills to solve complex problems and drive innovation.