About me

Hiđź‘‹ I'm Jennie Bae. Thank you for visiting my website!

I’m a software engineer👩‍💻 who builds systems that not only work reliably but also solve real problems for their users. With experience in full-stack development and machine learning, I specialize in translating complex requirements into solutions that align with business realities.

At TeleTracking, I work closely with cross-functional teams and Palantir engineers—from engineering to operations—to design and deploy tools that improve healthcare workflows at scale. I care deeply about understanding the “why 🤷‍♀️” behind every feature, as it ensures the solutions I build create meaningful impact. I design system architecture and build services end-to-end—from deeply understanding business needs to delivering scalable, resilient solutions. My work spans TypeScript and Python for backend services (APIs, webhooks), Java and FastAPI for server-side logic, and Palantir Foundry/AIP for frontend integration and object management. I also develop automation workflows that enhance user experience and system performance across our SaaS platform.

What i'm interested in

  • Web development icon

    Full-Stack Development

    Driven by user-centered thinking and build robust, end-to-end solutions across frontend and backend systems.

  • design icon

    AI

    Focused on transforming operations with AI-powered insights that bring real-time visibility to workflows, resource use, and decision-making.

  • mobile app icon

    Pets

    I have one handsome and cute dog named "Happy" also am open to volunteer at animal shelters.

  • camera icon

    Traveling

    I love to feel all different cultures. United States, Italy, France, Switzerland, Mexico, Taiwan, Japan, Vietnam and Korea are where I have been. Looking forward to next place!

Resume

Education

  1. University of Southern California,

    Los Angeles

    Aug 2022 — May 2024

    Master in Computer Science

  2. Gachon University,

    South Korea

    Sep 2020 — Feb 2022

    Master in Computer Engineering

  3. Gachon University,

    South Korea

    Mar 2017 — Feb 2021

    Bachelor in Computer Engineering

Experience

  1. Software Engineer @ TeleTracking

    Mar 2025 — Present

    Pittsburgh, PA

  2. Algorithm Developer @ USC ISI

    July 2024 — Feb 2025

    Marina Del Ray, CA (Remote)

    - Implement algorithm and simulator frameworks for detecting and tracking RADAR signals, enabling rapid adaption in hardware on-chip
    - Enhanced system efficiency, cutting software sweep time by 11% with optimized signal processing algorithms in Python
    - Designed and fine-tuned CNN model enabling detection of 20+ signal types and achieving up to accuracy of 0.97 by noise level
    - Used C and Matlab to estimate signal arrival direction by computing covariance matrix and performing spatial spectrum analysis

  3. Software Engineer Intern @ Age of Learning

    Jun 2023 — Aug 2023

    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.

  4. Software Engineer @ K2soft

    Jan 2022 — Jun 2022

    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.

  5. Research Assistant @ Gachon University

    Mar 2019 — Feb 2022

    South Korea

    â—Ź 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.

    â—Ź 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.

    â—Ź 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.

    â—Ź 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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