Welcome to my little corner of the internet! I'm Jacky, a curious software developer interested in infrastructure, ml, cognitive systems, and ethical tech — anything that can make technology work better for everyone. Currently, I'm based in Vancouver, Canada and studying Computer Science @ubc. I also help to organize HackCamp as a part of @nwplus.
In my spare time, you can find me faffing around on the climbing wall, dabbling with watercolour, or reading in a park somewhere! Read more about my non-work-endeavours here.
2020 // Fellows Class 0
Selected as one of 144 fellows to be part of the inaugural class of the MLH Fellowship program from a pool of 20,000 applicants. Worked on BentoML, an open-source framework for high-performance ML model serving. Reduced docker image size by 60% to enable lighter deployments by building Debian-slim based Docker images for model server. Created Helm chart allowing users to deploy the model storage component to a Kubernetes cluster with a single command rather than needing to follow an entire guide.
2020 // HackCamp Logistics Director
Lead a team of 4 in hosting HackCamp, a beginner-focused virtual hackathon, attracting over 900+ registrations, 500+ attendees, 3.2k+ livestream viewers, and $1200 in donations to charities. Co-lead the creation of a publicly available self-learning resources guidebook for tech beginners. Co-lead the development of our hackathon portal which aims to be a central information hub for hackers to do judging, relay announcements, and view the schedule Handled 200k+ interactions on the site during HackCamp.
2020 // SWE Intern
Reduced mean time-to-acknowledge for alerts from hours to minutes by adding alerting and monitoring for key SLOs for several tier one services. Added monitoring dashboard and alarms for website cache with AWS CloudWatch. Increased accessibility on paid signup flow and added various end-to-end frontend tests. Implemented various A/B tests. Updated internal metrics collection tools to work with NGINX.
2019 // SWE Intern
Implemented a proof of concept service mesh to break Scala monolith service into microservices. Proposal was added to the company technical roadmap for 2023. Implemented an internal endpoint to assist with data compliance requests. Defined and implemented Service Level Objectives (SLOs) for 3 of Hootsuite's core internal services.
Legist is a web platform that allows users to digest policies in an efficient and accessible manner. Legist allows users view automagically summarize pieces of policy + legislation while still maintaining the key takeaways, view and filter policies by category, and subscribe to periodic rollups on updates. Frontend was built with React + Typescript + Chakra UI. Text summarization was done using DistilBART, Named-entity recognition with BERT, and zero-shot text categorization using BART. Built at Hack the North 2020++, winning the Founder Institute Fellowship Prize and finalist among over 3000+ participants
ctrl-v is a modern, open-source pastebin with LaTeX and Markdown rendering support. Any user can create a paste without an account, with the ability to protect it with a password and set an expiry date. Additionally, ctrl-v does code highlighting as well as LaTeX and Markdown rendering. Pastes are stored in a MongoDB Atlas instance. Backend is a containerized Go service deployed on Google Cloud Run. Frontend is a React app deployed via Firebase Hosting.
reflect is a browser extension with 800+ active users focused around asking users to reflect before visiting distracting sites, helping to reduce mindless scrolling while still being able to get work done. During closed-beta, we created a Go service that logged user intents to a Cloud SQL database and did intent classification by serving a basic Flask API. We then trained an LSTM network in Keras on the closed-beta data and augmented it using NLP data augmentation techniques, reaching ~86% classification accuracy. Finally, the model was ported to Tensorflow.js where it runs in-browser within the extension which is written in Typescript.
nanoDB arose out of many frustrations I've personally come across while prototyping, namely 1) difficulty of debugging data 2) faffing around with language specific drivers and 3) reference resolution. As a result, nanoDB stores everything on disk as a JSON document, has built-in reference resolution, and can be used fully through a REST API. Think of it like Redis but with MongoDB style documents — all of which is on-disk, human-readable, and through a REST API. The project is fully written in Go and is thoroughly unit-tested. It features a standalone server binary which creates a nanoDB server, as well as a shell which allows you to do some basic document inspection.
readAR is a mobile AR app re-renders text to be more dyslexic-friendly, and adds context-dependent word definitions and images. A custom BERT model was created and trained for word sense disambiguation (WSD), achieving a 76.6% F1% score on the test dataset which is only ~5% away from state-of-the-art. This model is served through Flask on an Oracle VM Instance. The API is also responsible for our image processing pipeline, which is a conglomerate of different Azure APIs (OCR, Text Analytics, Bing Search). Built at TreeHacks 2020, winning the Microsoft Azure Champ Prize - Hack for Good.
Imposter is a productivity timer designed to keep friends on task together even when working remotely. The Chrome extension monitors your browser tabs, checking against a blocklist of unproductive sites. If one of those websites is visited, the backend will be notified via Firebase and will notify all users in the room through a WebSocket connection. Chat and character customization is also supported. Won track finalist and 2nd place for Disney prize.
Speech2Braille was created to help the over 360 million people in the world who have debilitating hearing loss. This project entailed creating an end-to-end speech recognition system using an Deep LSTM and a portable device to display braille. The device is able to recognize audio and transcribe it into Braille through the haptic feedback device via a novel neural network architecture. The feedback device is a self-made GPIO hat, consisting of 6 solenoids. The neural network itself is 2 layered LSTM-CTC network with 256 hidden cells in each layer, achieving 92% state-of-the-art word error rate on the TIMIT dataset. Won Silver and 10k in awards at the Canada Wide Science Fair.
PacketBook is a financial accessibility chatbot, fully accessible through the SMS (text messaging) protocol. Users are able to issue simple commands to register, check their balance, deposit, withdraw, and send money. These commands are secured with two-factor authentication through a Flask server on Heroku with Twilio. The backend that handles transaction is written with Node and Express and deployed on stdlib. PacketBook is unique in that it leverages the Stellar blockchain and tokens (XLM) for its transactions which greatly reduces operating overhead with its minimal transaction costs (around 1/100 of a cent per transaction). Won top 30 and the SAP prize at nwHacks 2018.
— the thing you're on right nowgithub
I got tired of adding divs and text manually everytime I wanted to update a project/add new stuff, so I decided to something more powerful that supports templating to do it for me automatically. It takes advantage of Go templates in order to generate the site from just a few config files! Now, updating the site is as simple as editing a YAML file. Continous integration and deployment done through Github Actions.