Hi, I'm Edward!
student | developer | rustacean

Automated specific data visualization processes (such as 3D colored lag plots) that convert raw data to human-interpretable data

  • Used Python and associated data science libraries, including pandas, numpy, matplotlib, and plotly to process time-series data
  • Worked with both pre-processed and raw foster-care data, on the scale of millions of entries.
  • Introduced to and implemented data analysis concepts and methods: 3D lag plots, lowess smoothing, differencing, aggregation, etc.
  • Introduced to concepts of attractors, autocorrelation, convergent cross mapping, etc.
  • Python

Uses the Fourier Transform to create animated traced approximations of images.

  • Take an input image and create contours out of it
  • Find a way to connect contours (as they are not necessarily closed) into one closed path
  • Apply the DFT and Inverse DFT to find the fourier coefficients of the path
  • Use the approximated coefficients to recreate animations of the approximate path being drawn
  • Initially prototyped in MATLAB, then moved to python for animation speed (bottleneck was drawing, not calculation)
  • Generate text parametric equations of approximated paths
  • Python

Gets user-inputted mood and heartbeat and displays them on paired devices in a smooth, aesthetic format. Helpful for long distance relationships!

  • Rust server to allow for cleaned up realtime communication between clients over UDP with a custom protocol
  • Uses both the BLE and wifi client capabilities on the ESP32 to allow for user configuration and communication between devices
  • Custom 3D printed parts and wiring
  • Used parts such as WS2812B LEDs, electrolytic capacitors, resistors, 18650 batteries, and capacitive touch sensors
  • Designed, assembled, soldered, and implemented from scratch
  • Android configuration apps to allow for custom lighting and settings on each client device

Check the blog for updates and more details :)

  • Arduino
  • Rust
  • Java
  • Kotlin
  • Android

Built and maintained the main code repository for FTC team #3216, used in both the 2017-2018 and 2018-2019 competition seasons.

  • Field-centric localization with Vuforia
  • Robust game element detection using TensorFlow Lite
  • Wrote and manually tuned PID control systems for motion
  • Overall intended to be highly modular in structure (Composition > Inheritance for robot parts) and extensible
    • Asynchronous Command system where specific actions are separated into their own Command sub-class
    • All hardware and software components separated into their own Component sub-class
  • Java
  • Kotlin
  • Android

Implementation of a classification neural network from scratch over the summer of 2017.

  • 97% accuracy on the MNIST dataset
  • Stochastic gradient descent learning
  • Based on neuralnetworksanddeeplearning.com
  • Rust

A proof-of-concept to detect FTC Rover Ruckus game elements using OpenCV.

  • Currently using colorspace thresholding to detect objects, augmented with watershed for segmentation of objects
  • Potential usage of cascade classifier
  • Intend for depth calculation capability in order to get 3D relative coordinates of objects purely based off of image
  • Python
  • OpenCV

This site! Modern and clean, building on flexdinesh/dev-landing-page as a starting point.

  • Site itself is pure HTML5/CSS, minimal JS used
  • Custom static site generation from templates using Python and Jinja2
  • CSS
  • HTML
  • Python

A graphical gravity simulation with a modal UI, written in Rust and using GTK.

  • Simulate gravity for bodies
  • Path drawing
  • Good editing UI (switch to edit mode, then click for center, then click for outer point, click for direction vector, etc.)
  • Horizontal/Vertical zooming and graph drawing
  • Good performance
  • Rust

An attempt at replicating a very basic version of dan-ball's infamous powder game in MATLAB.

  • Final project for CEE 101S, featuring near-real-time graphics in MATLAB.
  • Displayed the feasibility of vectorizing large amounts of chained conditionals to allow for speed comparable to compiled programs with for loops (for loops are notoriously slow in MATLAB).

A lisp dialect with an interpreter written in Rust from scratch.

  • Supported a couple of basic mathematical operators, print, etc.
  • All of the necessary framework to make a useable language was in place
  • Rust

A GTK-based desktop bar-style audio visualizer, designed to run smoother and faster than Impulse (a similar program running on the Screenlets framework) while taking less system resources.

  • Visibly smoother than Impulse and ~half (4% vs 8%) the total cpu usage of Impulse
  • Parallel design to allow for multiple graphical instances to run at the same time even on the same audio sinks
  • Rust

Project assignments for Princeton's COS226: Algorithms and Data Structures course.

  • Java

Based off of the popular Lixie Clock, but PCBs, lasercutting designs and programming done completely from scratch. WIP (Project materials are stuck in Princeton)

  • Arduino

Hacked and reprogrammed multiple pre-existing hardware devices while adding smart functionality and integration into personal home assistant server to some by the creation of custom PCBs.

  • Setup a personal home assistant instance with esphome on an old PC, running as a docker image on a Fedora Linux distribution
  • Integrate a personal plex media server over a zfs raid-type array with otherwise unused hard disks, with a small SSD cache, giving fault redundancy and speed (saturates router)
  • Design, assemble, and program custom PCBs for temperature sensors and lamps that do not have existing smart functionality on the market
  • Reverse engineer multiple lamp-type and controller pcbs in order to reprogram them to work with the esphome/home assistant system
  • Create a full motorized blind controller with PID position control for optimal speed and to prevent overshooting
  • Linux
  • Arduino
  • PCB Design

I'm currently a student at Princeton University, majoring in Computer Science, B.S.E.
I'm always on the hunt for new technologies to try and more things to learn, especially in the fields of machine learning, high performance computing, networking, and graphics.
On the side, you might see me walking by the lake shore, tending to my mint garden, designing small gadgets and sensors, or curling up in bed with a nice book.
If you have any questions, want to hit me up with an internship offer :), or just want to geek out about SIGGRAPH papers, weird projects on Github, or cool math problems, please don't hesitate to shoot me a message!

Thanks for stopping by!