I am Dave Ho
Studying Computer Science and Statistics at UCLA. Interested in the fields of Machine Learning, Artificial Intelligence, and Data Science. Looking for more opportunities in both areas of Data Science and Software Engineering.
Deep Neural Networks, CNN, GAN, LSTM, NMT, Transformers/BERT.
DQN, REINFORCE Policy Gradient, Actor-Critic, DDPG.
React, Jest, iOS Swift, Android.
Python, SQL/RDBMS, AWS, Flask/Node.js+Express., FastAPI, CircleCI
Snorkel AI
Jun, 2022 — Sep, 2022
- Unicorn-funded startup, focusing on data-centric AI through foundation models and weak supervision
- Enabled ground truth versioning, allowing users to revert back to working states and recreate previous models
- Implemented Application DAG versioning, allowing users to manage previously created DAG structures
- Developed a variety of improvements for unsolved user problems such as proper error surfacing and transparency.
Snorkel AI
Jun, 2021 — Sep, 2021
- Built a multitude of core functionality for Snorkel Flow platform that allows label generation via weak supervision
- Enabled trainable preprocessors, to allow operators to be fitted to application datasets.
- Implemented user-defined operator classes, allowing clients to export their own operators via application DAG
- Implemented user-defined model classes, allowing registration of custom experimental models via Jupyter Notebook
- Developed a variety of improvements for unsolved user problems such as estimated model training time and operator namespace registration conflicts.
Ezra
Jun, 2020 — Aug, 2020
Ezra is an AI-powered financial advisory mobile application that scrapes SEC, twitter, and news data to provide long term investment recommendations. link
- Implemented and trained graph recurrent neural network on S&P 500 price and sentiment data using PyTorch.
- Implemented DCF Model to forecast intrinsic value of portfolio and predictive sharpe ratio optimization model (Backtests performed 15% better than S&P 500 on 2018-2020 backtest)
- Built automated tax-loss harvesting algorithm to save user's money on income and investment gains tax.
- 200+ users reserved for private beta launch.
VMware
Jul, 2019 — Jun, 2020
Engineered several Supervised Machine Learning models and Reinforcement Learning agents to solve problems ranging from automatic security triaging, VM timeout prevention, and VM Anomaly Detection.
- Built Machine Learning models to automate security triaging process of virtual machines and classify true security issues.
- Built Machine Learning models to predict workload timeouts on VMs, enabling proactive recovery actions to be taken.
- Constructed multi-dimensional time-series prediction models to detect anomalies within machine health that would result in high cost and usage
- Developed a suite of Reinforcement Learning frameworks (DQN, DDPG, Reinforce, Actor Critic)
- Designed Deep Learning and PyTorch workshop for VMware community.
- Developed advanced NLP techniques for a lab in an internal ML conference.
twyne
Oct, 2019 — Jun, 2020
Twyne helps users interact with the world through simple and natural motions by bringing automated and customizable ML-based gesture recognition to the smartwatch.
- Developed data engineering (framing and labeling) scripts to process gesture motion data from smartwatch wearable.
- Implemented and trained Spectrogram Fourier Transform of time series data and LSTM model using PyTorch (~ 87 % accuracy)
- Constructed prototype that uses "swipe next" & "swipe back" gestures from smartwatch to navigate through google slides presentation.
- Implementing Siamese metric learning model for per-user gesture customization.
9Eighteen
August, 2018 — June, 2019
9Eighteen is a mobile platform that provides fast, convenient service on golf courses. With one tap, users can order directly on the mobile app and will be promptly service by the closest cart driver. As a developer, I built the full stack of the mobile platform, which is now being used by upwards of 9 golf courses.
Hack Club @ VCHS
Jun, 2017 — Jun, 2019
Worked closely with students to explore the field of computer science and guided them to build their own projects and applications.
Eemergency
Dec, 2017 — Aug, 2018
Eemergency is a mobile platform that tracks live location updates of on-duty emergency vehicles and alerts drivers to pull over to safety. Developed core application; filed three provisional patents on emergency repsonse system architecture.
Carnegie Mellon University
Jun, 2017 — Aug, 2017
Built two games with a team of five: Perspective and DinkTheBlackSun (listed in the portfolio below). Constructed a production level game with Unity .NET
Los Angeles, CA
Sep, 2019 — Jun, 2023
Computer Science Major. Statistics Minor.
San Jose, CA
Aug, 2015 — Jun, 2019
Applied Math Science & Engineering Major.
Los Angeles, CA
Feb, 2019
Built song-guessing host-based game.
Tech Stack: iOS App, Spotify Web API + React Native, SQL + Flask Backend
San Jose, CA
May, 2018
2nd Place Team Award in Math League Nationals.
San Jose, CA
Mar, 2018
Scalable Real Time in Memory Storage and Indexing for Emergency Response System
Dynamic Geofence Algorithm for Emergency Response System
Smart Dynamic Alerting System
Hosted hands-on Neural Network Workshop with several PyTorch Labs. Concepts discussed in detail include Neural Networks & Backpropagation, Vanishing Gradient & Overfitting, Convolutional Neural Networks, Recurrent Neural Networks, and LSTMs. 40+ Attendees.
Stack PyTorch, Jupyter Notebook, numpy, torchvision
Date September, 2019
TechTalk demonstrating how to use PyTorch neural networks to implement a Reinforcement Learning Agent. TechTalk covered a basic DQN architecture to solve the Open AI Gym CartPole problem
Stack Python, PyTorch, DQN, Reinforcement Learning
Date September, 2019
Ezra is an AI-powered financial advisory mobile application that scrapes SEC, twitter, and news data to provide long term investment recommendations.
Stack Python, PyTorch, SQL, RDS, Flask
Date Jun, 2020 - Present
9Eighteen is an app that provides fast, convenient service on the golf course. There’s no need to wait long times for the cart to place your order. With 9Eighteen, your food is just one tap away. Pay in our mobile app, and continue enjoying your game of golf. Your order will arrive soon!
Stack iOS, Swift, React Native, Javascript, Node.js
Date August, 2018 - June, 2019
ThoughtJar platform allows users to quickly gather unbiased public opinions through distributed micropayments.
Stack iOS, Swift, ReactJS, Flask
Date January, 2018 - June, 2018
twocents is a financing management app that lets you share your recent hauls with friends all while keeping track of the money you spend. twocents additionally gives you complete control on activating/deactivating your cards and reporting fraudulent transactions.
Stack iOS, Swift, React Native, Flask
Date June, 2018 - Aug, 2018
The main goal of (E)emergency is to alert vehicles that there is an emergency vehicle approaching and they will be required to pull over in a timely manner. (E)emergency employs technology that uses the emergency vehicles location to send alerts to the vehicles that may be affected in the path ahead. This alert gives the vehicles that are ahead, an alert style notification, similar to an amber alert. Our goal is to get emergency responders to the scene as fast, and as safe as possible to keep the public safe as possible. Seconds can save lives, our goal at (E)emergency is to provide our first responders every tool they need to do their jobs as effective as possible.
Filed three provisional patents on emergency repsonse system architecture.
Stack iOS, Swift, Node.js
Date December, 2017 - August, 2018
BetaGo is an open-source augmented reality tourism app that allows users to keep track of their paths as they explore new regions of the earth. It is built for android and utilizes a flask server backend and sqlite3 for database management.
Stack Android, SQL, Flask
Date July, 2016 - August, 2016
Perspective is a puzzle game built on the HTC Vive where the player, in virtual reality, has to move his or her perspective to line up a certain object to continue to the next level.
This game was a 6 week process where I worked in a team of five consisting of artists , sound designers, and other programmers. The project was built in the Entertainment Technology Center @ Carnegie Mellon University.
As a programmer for the team, I focused on researching virtual reality technology and getting main mechanics to work (e.g. gaze positions and directions).
Stack HTC Vive, Unity 3D, Maya, FL Studio
Date June, 2017 - August, 2017
ChineseChessOL is an online heads-up game that allows users on the same network to play Chinese Chess with one another. It is built with Unity 3D. Server and Game Logic was built using C#.Net.
Stack Unity 3D, C#
Date Jauary, 2017 - March, 2017
Dink and the Black Sun is a 2d platform built in the ETC @ CMU in one week.
As a programmer for a team of 5, I helped with the core mechanics of the game. Since this was a heavy action game, I had to focus a lot on creating lightning quick combat which required players to have speedy reactions.
Stack Unity 3D, Maya, C#, FL Studio
Date June, 2017 - August, 2017
Python implementation of the 15 puzzle game.
This program includes functionality to play the game on your IDLE as well as a implementation of a breadth-first-search to solve the puzzle autonomously.
Stack Python
Date March, 2015
Python implementation of different algorithms for the Knapsack Problem.
Stack Python
Date January, 2016
