Software Engineer: Computer Vision, and Machine Learning
2017 - PRESENTLyft Autonomous Driving Center- Applied deep learning, and computer vision algorithms to solve autonomous driving problems.
Technologies: PyTorch, TensorFlow, Python, OpenCV, AWS, Deep Learning, Object Detection, Object Tracking.Artificial Intelligence Fellow
2017 - 2017Insight Data Science- Developed a computer vision system based on a convolutional neural network that automatically annotates post-hurricane flooded roads on satellite imagery.
- Developed an open-source project on GitHub.
- Researched, and published a blog post about the use of deep learning for disaster recovery.
Technologies: Deep Learning, Semantic Segmentation, KerasStaff Software Engineer
2015 - 2017LinkedIn- Helped build LinkedIn's video platform from scratch.
- Wrote a technical blog post on building a Native video player library for Android.
Technologies: Java, Video Codecs, Mobile DevicesSoftware Architect
2011 - 2015Trulia- Scaled our mobile platform to over a dozen apps across iOS, and Android. This grew the audience over ten times. Trulia mobile apps are top-rated by users, and frequently selected for prestigious editorial features by Apple, Google Android (Editors' Choice, and Staff Pick), Amazon, and Samsung.
- Developed and built projects for iOS and Android involving geofencing and geospatial data, user data synchronization, cross-platform communication, and natural language processing.
Technologies: Android, iOS, REST APITechnical Leader
2006 - 2011Cisco- Led the architectural designs of Cisco Jabber (an enterprise VoIP app) on Android. Worked with product managers to translate business needs into technical specifications. Worked with cross-functional teams to define requirements, interfaces, and implementation approaches, and led a group of six talented Android developers to build out layered components of the application from scratch.
- Extended the Blackberry client with innovative voice features, coordinated development activities, and mentored junior engineers.
Technologies: Android, VoIP, CodecsSenior Software Engineer
2004 - 2006Weathernews Americas- Developed the prototype, architecture, design, and implementation of Weathernews LiveLocal. LiveLocal is the US’s first streaming video application bringing videos from local broadcast TV stations to cell phones.
Technologies: Mobile Video
Jack Kwok
Deep Learning Developer in San Francisco, CA, United States
Member since March 29, 2019
Jack has over a dozen years of experience developing complex software systems. He is experienced in applying deep learning techniques to solve computer vision problems such as object detection, multi-object tracking, and ND semantic segmentation, to name a few. Jack currently works in applying state-of-the-art deep learning computer vision models, and algorithms to solve autonomous driving problems. He has an expert rating at Kaggle.
Jack is now available for hire
Portfolio
- Lyft Autonomous Driving CenterPyTorch, TensorFlow, Python, OpenCV, AWS, Deep Learning, Object Detection...
- Insight Data ScienceDeep Learning, Semantic Segmentation, Keras
- LinkedInJava, Video Codecs, Mobile Devices
Experience
- Python 3, 6 years
- Deep Learning, 3 years
- Computer Vision, 3 years
- PyTorch, 2 years
Availability
Part-time
Preferred Environment
Python, Pytorch, Linux, Windows, AWS
The most amazing...
...project I have worked on involved building a neural network from scratch to recognize handwritten digits. It led me to pursue a career in deep learning.
Employment
Experience
- Deep Learning for Disaster Recovery (Development)https://github.com/jackkwok/neural-road-inspector
Using state-of-the-art deep learning methods, I attempted to automatically annotate flooded, washed out, or otherwise severely damaged roads. My goal was to create a tool that could help detect, and visualize anomalous roads in a simple user interface.
For details, see blog post:
https://blog.insightdatascience.com/deep-learning-for-disaster-recovery-45c8cd174d7a
Skills
Languages
Python 3, JavaLibraries/APIs
PyTorch, Keras, Scikit-learn, NumPy, OpenCV, Pandas, SciPy, TensorFlowTools
Scikit-image, AWS CLIOther
Deep Learning, Computer Vision, Object Detection, Object Tracking, Image Processing, Linear Algebra, Demand Sizing & Segmentation, Convolutional Neural Networks, Semantics, Video Codecs, Recurrent Neural NetworksPlatforms
Kubernetes
Education
- Master of Engineering degree in Computer Science2001 - 2002Massachusetts Institute of Technology - Cambridge, MA
- Bachelor of Science degree in Computer Science1997 - 2001Massachusetts Institute of Technology - Cambridge, MA
- Bachelor of Science degree in Mathematics1997 - 2001Massachusetts Institute of Technology - Cambridge, MA
