Programming, teamworking, contributing
things I like doing
Please reach out if you are needing technical help to create something that would bring value to others. I'm working freelance and willing to provide help at low cost/for free for nonprofits, grassroot orgs, or just individuals hoping to make a positive impact. I have experience building data pipelines, analyzing data, developing models, building websites and mobile apps, and brainstorming tech solutions if people haven't found one.
A full-stack web app using React (TypeScript), Postman-tested RESTful API endpoints, Spring Boot (Java), PostgreSQL. Built to help my local community exchange used books, to practice full-stack dev with Github Copilot AI, and to exercise good OOP and software engineering practices.
We built Sride, an iOS mobile app, with Swift in Xcode, Parse as a custom backend database, and libraries from Cocoapods. Sride aims to help college students have an easier to getting to places by providing a platform dedicated for ride-sharing information. On Sride, they can make posts, filter out others' posts, make comments, etc.
TrashMe is a website that helps college students understand the trash items they usually throw away, and learn how to properly dispose the components based on categories. TrashMe is built using React.js, Javascript, HTML, CSS, deployed using Microsoft Azure, and based on the wireframes developed in Figma.
FlappyBird-FocusJorge* -- Java, OOP, Test-Driven Development.
Summer Fog Frequency Patterns and Impact on Intertidal Organisms around Washington Coast from GOES-17 Satellite Imagery, Field Photos, and Field Sensors
Put LLM internals into practice, aiming to create an AI system that can answer questions with our custom knowledge base.
Pre-process and classify fog photos by implementing Tensorflow input pipeline and Convolutional Neural Network.
Automated the creation of labeled satellite images, designed the ML pipeline, and conducted transfer learning on deep neural networks (YOLOv8) to detect pavement markings, contributing to enhancing the ORNL research team's traffic digital twin tool.
Aligned drone rasters with field data with Python. Benchmarked satellite-based biomass maps (e.g GFW). Replicated and rectified data, methodologies, and results of the ReforesTree study.
Sobel edge detection for image enhancement, image segmentation for leaf isolation from background, and Convolutional Neural Network for health classification -- from scratch!
I use Python and its major data science library, pandas, to manipulate and visualize the data of atmospheric CO2 concentration and global temperature, and make projections of their rises.
SiFT-MTP-protocol* -- Python, PyCryptodome; AES, RSA.
I discovered novel results on dynamical irreducibility of certain quintics over finite fields. I wrote computation code with Magma.
Email: autumn [dot] yngoc [at] gmail [dot] com
LinkedIn
Endorsements
*These projects are currently private to certain people only -- hopefully one day we will be able to make them public and open-source!