About me

Hi👋 I'm a software engineer at USC Information Sciences Institute and graduated in Master's degree in computer science at University of Southern California. I have worked as a software engineer in backend and machine learning field.

I'm a passionate, team-oriented, and tenacious software engineer and hope to apply my knowledge and skills I have learned to the real world. I have experiences in developing API endpoints to accept users authentication through API service and implementing API gateway handling over 10,000 API requests daily. Moreover, I developed feature extraction algorithm using machine learning to classify normal and abnormal heart sounds and reached 94% accuracy.

Thank you so much for exploring my work journey!

What i'm interested in

  • Web development icon

    Web Development

    creating endpoints in the backend field and test driven development using end to end and unit tests.

  • design icon

    Machine Learning

    developing ML algorithms to classify normal and abnormal sounds with medical data using CNN, VGG16, or YOLO by converting sound to image.

  • mobile app icon

    Data Science

    studying computer science based on the data science by anlayzing data pattern to find meaningful insights.

  • camera icon

    Efficient Program

    Error proof and efficient programming which are what I am focusing on as a software engineer.

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Resume

Education

  1. University of Southern California,

    United States

    Aug 2022 — May 2024

    Master in Computer Science

    GPA: 3.77/4.0
    Course Highlights: Web Technologies, Database systems, Analysis of Algorithms, etc

  2. Gachon University,

    South Korea

    Sep 2020 — Feb 2022

    Master in Computer Engineering

    GPA: 4.5/4.5
    Full-ride scholarship

  3. Gachon University,

    South Korea

    Mar 2017 — Feb 2021

    Bachelor in Computer Engineering

    GPA: 3.9/4.5
    cum laude

Experience

  1. Algorithm Developer

    July 2024 — Present

    USC Information Sciences Institute, Marina del Rey, CA

    - Implement algorithm and simulator frameworks for detecting and tracking RADAR signals, enabling rapid adaption in hardware on-chip

  2. Software Engineer Intern

    Jun 2023 — Aug 2023

    Age of Learning, Glendale, CA

    - Created API endpoints for user authentication, leveraging PHP and AWS SDK to integrate with third-party API service in Docker environment.
    - Developed 5 unit tests and end-to-end testing based on test-driven development(TDD) getting login tokens to check the failure scenarios.
    - Utilized Datadog to monitor server traffic and employed Artillery for load testing to ensure optimal system performance.
    - Deployed production-reading API endpoints through Gitlab CI/CD development pipeline to ensure optimal system performances.
    - Used the Large Language Model framework to classify user’s input by integrating ChatGPT using Python SDK.
    - Verified the service quality with Vertex AI, comparing results in 31 persona test sentences for optimization and ensuring safeguard.

  3. Software Engineer

    Jan 2022 — Jun 2022

    K2soft, Seoul, South Korea

    - Implemented an API Gateway handling over 10,000 API requests daily using Flask and Apache Tomcat in Python.
    - Increased smart farm crop yields to 12% by developing a genetic algorithm in Java with 11 variables from the smart farm.
    - Embedded live translation capabilities by integrating Google API for speech to text conversion supporting 103 different languages.

  4. Research Assistant

    Mar 2019 — Feb 2022

    Gachon University, Gyeonggi-do, South Korea

    ● Bio-Data Construction and Diseases Prediction
    - Predicted the possibility of colon cancer by developing modified Harmony Search algorithm and obtained 94% classification accuracy in colorectal cancer gene information.
    - Developed a mobile application for predicting depression levels using Java.

    ● Artificial Intelligence Convergence Research
    - Devised a reinforcement learning feature selection method in which two agents update the Q-value of each agent by comparing rewards and achieved the 97.89% best classification accuracy than other 5 models for 3 data sets.

    ● Development of Integrated Diagnosis Solution Based on AI Technology
    - Implemented multi-classification algorithm with normal and abnormal heart sounds data.
    - Obtained 97% classification accuracy by electronic auscultation using statistical features of wavelet coefficients and cepstral coefficients with Gachon Gil Medical Center.

    ● Facial Recognition and Emotion Analysis Research
    - Analyzed face data using Euclidean distance formula and got 87.6% emotion classification.
    - Obtained 13% higher accuracy than CNN and found eyes and mouth distance to be the most effective feature.

My skills

  • Languages

    Python, Java, C/C++, Javascript, PHP, MySQL, HTMl, CSS, TypeScript, Swift

  • Web & Mobile

    Docker, Flask, Angular, RestAPI, Bootstrap, IOS, Node.js, Ajax, jQuery, Apache Tomcat

  • Frameworks & Tools

    Git, GCP, AWS EC2, Langchain, Keras, Tensorflow, SDK, Arduino

  • Library

    Numpy, Pandas, Scikit-learn, Scipy, Matplotlib, BeautifulSoup, librosa

Blog

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