About Me

Hi! My name is Jason and I enjoy making tech work for myself and others. My interest in software dates all the way back to 2015, where I made a Rubik's cube solving robot when I was 13.

Fast-forward to today, and I’ve had the privilege of working at THE leading cloud solutions provider, a health services innovation company, my favorite airline, a leading global investment bank, and a global technology powerhouse!

Here are a few technologies I’ve been working with recently:

  • Python
  • Java
  • React
  • Go
  • Rust
  • SQL

Where I’ve Worked

Cloud Intern (AWS) @ Amazon

June 2024 - Current

  • Developed custom solution for deployment, monitoring, & maintenance of S3 usage using Python, boto3, & Cloud9
  • Integrate CloudWatch & CloudTrail APIs for comprehensive access log management, resulting in a 40% increase in security compliance
  • Created & optimized Python scripts for automating routine tasks & troubleshooting Linux instances via SSH, reducing manual intervention time by 30%

What I've Worked On

  • Featured Project

    KnowGap (PM & Full-Stack)

    KnowGap, developed as part of a team with myself as PM and full-stack developer, integrates seamlessly with Canvas to provide real-time at-risk student prediction using a custom algorithm. It curates personalized academic content through GPT and YouTube recommendations based on assessment performance, using data driven insights to help students at risk of failing their classes.

    • Python
    • React
    • MongoDB
    • Flask/Quart
    • Large Language Models
    • REST APIs
    GitHub

  • Featured Project

    Parallel Job Miner

    An innovative web scraper that collects multiple CS-related job apps across multiple platforms by fetching real-time job listings, this tool significantly simplifies and speeds up the job hunting process.

    • Python
    • REST APIs
    • BeautifulSoup
    • RapidAPI
    • pandas
    GitHub

  • Featured Project

    CNN Image Classifier

    This image classifier uses a convolutional neural network (CNN) & deep learning for efficient classification. It effectively distinguishes between "happy" & "sad" images, performing on datasets sourced from Google Images.

    • JuPyter
    • TensorFlow
    • Keras
    • Matplotlib
    • Convolutional Neural Networks
    • Deep Learning
    GitHub

  • Featured Project

    Visual Studio Clone

    VS-Clone replicates the functionalities and aesthetics of Visual Studio Code, offering a familiar coding experience. Key features include a file tree view, Python lexer, basic autocomplete, multiple tabs, and basic file management. (Work in Progress)

    • Python
    • PyQt5 - QScintilla
    • REST APIs
    • Lexers
    GitHub

  • Featured Project

    Fake News Detector

    Implemented a fake news detector using Multinomial Naive Bayes algorithm and Deep Neural Network to classify real and fake news. This project is part of a larger group of practical problems I've tackled using machine learning concepts such as exploratory data analysis, linear regression, classification, and K-means clustering.

    • Python Data SDK (numpy, pandas, wordcloud)
    • Sci-Kit
    • TensorFlow
    • Keras
    • JuPyter
    GitHub

  • Featured Project

    Typing Test

    Find out your typing speed in words per minute (WPM) with my Simple Typing test, pulling randomly generated quotes from a REST API.

    • JavaScript
    • JQuery
    • HTML/CSS
    • REST APIs
    GitHubExternal Link

  • Featured Project

    J.P. Morgan Virtual SWE Experience

    Build an interface with a stock price data feed and visually display data to assist our traders as a Software Engineer at JPMorgan Chase.

    • Python
    • Open-Source
    • Perspective
    GitHub

What’s Next?

Get In Touch

My inbox is always open! Whether you have a question or just want to say hi, I’ll try my best to get back to you!