- San Jose State University
- B.S. CS, Expected Grad: May 2025
- GPA: 3.9/4.0
- Languages: Java, C++, Objective-C, Python, JavaScript, Haskell, SQL, Kotlin
- Technologies: Espresso, Express.js, TensorFlow, PyTorch, jQuery, Flask, Node.js, Android SDK, iOS SDK, Git, Keras, TCP/IP, MongoDB, NoSQL, Android Studio
- STMicroelectronics, Machine Learning and Algorithms Intern
- Santa Clara, CA (April 2024 - Current)
- Developing and implementing machine learning algorithms and projects
- Santa Clara, CA (April 2024 - Current)
- Google, Software Engineer Intern
- Mountain View, CA (May 2023 – Aug 2023)
- Engineered a comprehensive testing framework for iOS mobile client to backend integration.
- Reduced testing time by 50% by automating processes using Java, Objective-C, and Swift.
- New York City, NY (May 2022 – Aug 2022)
- Developed a multithreaded, high-throughput data processing pipeline in C++ for Google Ads.
- Mountain View, CA (May 2023 – Aug 2023)
- Frontal, ML Powered Productivity
- Developed and trained a Neural Network to predict task duration using TensorFlow, Pandas, and Python.
- Deployed model using Flask, Heroku, and RESTful API integrated with Google Calendar.
- Broca, Custom Functional Programming Language
- Architected and developed a custom functional programming language in Java using advanced design patterns.
Feel free to reach out or contribute to my projects!