Chris Powers Email
Senior Machine Learning Engineer @ Cobalt AI
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Chris Powers Location
- San Francisco, CA, US
Chris Powers Work
- Senior Machine Learning Engineer @ (March 2021 - Present)
- Machine Learning Systems Lead @ (January 2020 - January 2021)
- Researcher @ (September 2018 - May 2020)
- Software Engineer Intern @ (May 2018 - August 2018)
- Undergraduate Researcher @ UC Berkeley AUTOLab (June 2016 - May 2018)
- EE16B Course Staff @ (February 2017 - December 2017)
- ULAB Mentor @ ULAB (January 2017 - May 2017)
Chris Powers Education
- University of California, Berkeley
Master's degree (Electrical Engineering and Computer Science)
2019-2020 - University of California, Berkeley
Bachelors (Electrical Engineering and Computer Science)
2015-2019
Chris Powers Skills
- Algorithms
- Amazon EC2
- Amazon S3
- Amazon Web Services (AWS)
- C
- C++
- Computer Vision
- Concurrent Programming
- Deep Learning
- Django
- Docker
- Edge Computing
- Flask
- Full-Stack Development
- GPU
- Generative Adversarial Imitation Learning
- Git
- Go (Programming Language)
- Gstreamer
- Image Segmentation
- Java
- JavaScript
- Keras
- Machine Learning
- Microservices
- MongoDB
- Node.js
- NumPy
- Object Detection
- Object Tracking
- OpenCV
- OpenMP
- PyTorch
- Python
- React.js
- Redis
- Redux.js
- Robot Operating System (ROS)
- Robotics
- SSE intrinsics
- SciPy
- Scikit-Learn
- Swift
- Tensorflow
- TypeScript
- Unix
- WebSocket
- gRPC
Chris Powers Summary
- Chris Powers, based in San Francisco, CA, US, is currently a Senior Machine Learning Engineer at Cobalt Robotics. Chris Powers brings experience from previous roles at Stealth Startup, Berkeley DeepDrive, Yelp and UC Berkeley AUTOLab. Chris Powers holds a 2019 - 2020 Master's degree in Electrical Engineering and Computer Science @ University of California, Berkeley. With a robust skill set that includes Algorithms, Amazon EC2, Amazon S3, Amazon Web Services (AWS), C and more. Chris Powers has 2 emails on RocketReach.
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