Naoto Uemura

Software Engineer at Breakout Mentors
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Contact Information
us****@****om
(386) 825-5501
Location
Seattle, Washington, United States, US
Languages
  • English Native or bilingual proficiency
  • Japanese Native or bilingual proficiency

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Experience

    • United States
    • Education Management
    • 1 - 100 Employee
    • Software Engineer
      • Jun 2023 - Present

      • Orchestrated the design and implementation of the USACO (USA Computational Olympiad) portal's mentor view, integrating original insights, diagrams, and feedback system to enrich the working experience of 20+ mentors• Re-engineered the database schema and REST API to assimilate the described front-end transformations effectively• Devised a strategically categorized archive of over 40 prior USACO problems, complementing these with teaching guidance, illustrative diagrams, and discerning tags aimed at amplifying the educational journey of the students Show less

    • USACO Mentor
      • Oct 2022 - Present

      • Mentored 15+ students over 300 hours aiming to climb USACO ranks, capitalizing on my experience as a Gold-level competitor ranked 450th out of 10,000+ participants• Introduced integral programming techniques, algorithmic knowledge, and best coding practices, all focused on priming them for their future in the software engineering field• Navigated students through distinctive problems presented on coding platforms such as CodeForces and LeetCode to bolster their creative problem-solving abilities Show less

    • Ireland
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Co-Founder・Chief Technology Officer
      • Dec 2022 - Present

      • Co-founded and served as Chief Technical Officer for a startup and developed “Planet”, an innovative event planning mobile app; dedicated over 800 hours, contributed 1400+ commits, and made 130+ pull requests on GitHub • Executed UI/UX design for 30+ screens with Figma and React Native, integrated 100+ API calls including external APIs from Google, Yelp and TicketMaster, and schemed 25+ database tables for seamless and efficient in-app experience • Pioneered a machine learning-based system for personalized event recommendations, considering user preferences and external factors like weather and time of the day, substantially enhancing user experience and app effectiveness Show less

    • United States
    • Research
    • 1 - 100 Employee
    • Software Vision Team Member
      • Sep 2022 - Jun 2023

      • Analyzed, modified, and integrated a fully operational object detection model, adept at recognizing and monitoring color-labeled plates using PyTorch and Tensor Real Time (TensorRT) • Leveraged the Open Neural Network Exchange (ONNX) framework, endorsing the seamless conversion of Recurrent Neural Networks (RNNs) employed within the library • Employed parallelism to enhance the target detection algorithm, significantly improving the runtime of the RNN model on Jetson by 27% • Analyzed, modified, and integrated a fully operational object detection model, adept at recognizing and monitoring color-labeled plates using PyTorch and Tensor Real Time (TensorRT) • Leveraged the Open Neural Network Exchange (ONNX) framework, endorsing the seamless conversion of Recurrent Neural Networks (RNNs) employed within the library • Employed parallelism to enhance the target detection algorithm, significantly improving the runtime of the RNN model on Jetson by 27%

    • United States
    • Spectator Sports
    • Software Engineer
      • Jul 2021 - Aug 2022

      • Utilized Android Studio to integrate a machine-learning based pronunciation scoring system with the help of an IBM engine within robots, uplifting the foreign language learning experience in Japanese schools • Created interactive slides to present the use of the application, successfully assisting 300+ students in Japan • Constructed algorithm-focused educational content tailored specifically for Japanese high school students with an interest in computer science • Utilized Android Studio to integrate a machine-learning based pronunciation scoring system with the help of an IBM engine within robots, uplifting the foreign language learning experience in Japanese schools • Created interactive slides to present the use of the application, successfully assisting 300+ students in Japan • Constructed algorithm-focused educational content tailored specifically for Japanese high school students with an interest in computer science

    • Class Lead Teacher/Tutor
      • Aug 2020 - Jun 2021

      • Conducted an intensive eight-week STEM-focused instruction series for multiple middle school students, encompassing core subjects such as Java, calculus, and physics • Guided a concentrated study group of 3-4 students, spearheading the creation and systematization of engaging slide presentations to effectively disseminate course content • Formulated innovative lesson plans, featuring unique projects like teaching recursion in Java, that aimed to stimulate curiosity in challenging subjects while also equipping them for advanced high school coursework Show less

Education

  • University of Washington
    Bachelor's degree, Computer Science
    2022 - 2024
  • Camas High School
    Unweighted: 4.0, Weighted: 4.66
    2018 - 2022
  • Summer Stem Institute
    2021 - 2021

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