# Guy Hotson

> Machine Learning Software Engineer (Perception)

Location: San Francisco, California, United States
Profile: https://flows.cv/guyhotson

My doctoral research at Johns Hopkins University was on semi-autonomous brain-machine interfaces using probabilistic time-series inference. I now work on machine learning for perception with autonomous vehicles. I am broadly interested in artificial intelligence, perception, and sensor fusion for autonomous robotics that may benefit society in fields such as transportation and medicine.

## Work Experience
### Software Engineer @ Bedrock Robotics
Jan 2025 – Present | San Francisco, California, United States

### Staff Software Engineer @ Latitude AI
Jan 2023 – Jan 2025 | San Francisco Bay Area

### Software Engineering Manager II @ Argo AI
Jan 2021 – Jan 2023 | Palo Alto, California, United States

### Staff Software Engineer @ Argo AI
Jan 2020 – Jan 2021 | Palo Alto, California, United States

### Senior Software Engineer @ Argo AI
Jan 2019 – Jan 2020 | Palo Alto, California, United States

### Software Engineer @ Argo AI
Jan 2017 – Jan 2019 | Palo Alto, California, United States

### Machine Learning for Autonomous Vehicles Research Engineer @ Ford Motor Company
Jan 2017 – Jan 2017 | Palo Alto
Worked on recurrent neural networks for sensor fusion and object detection with video for autonomous vehicle applications.

### PhD Student: Electrical and Computer Engineering @ Johns Hopkins University
Jan 2011 – Jan 2016
Utilized numerous machine learning algorithms for predicting reach trajectories from neural signals (electrocorticography and multi-unit activity)
Developed multiple implementations of online brain-machine interfaces, allowing subjects to reach, grasp, and/or perform individual finger movements using electrocorticographic signals.
Lead development of sensor-fusion modules utilizing cortical signals, eye-tracking, and rgb-d data to control a semi-autonomous brain-machine interface.
Developed graphical models and utilized Bayesian filtering techniques to optimize decoding performance.

### Research Engineer Intern - Autonomous Driving at Ford Silicon Valley Research & Innovation Center @ Ford Motor Company
Jan 2016 – Jan 2016 | Palo Alto
Research and development of recurrent deep learning architectures for perception with autonomous vehicles

### R&D Engineering Intern @ Boston Scientific
Jan 2013 – Jan 2013
Employed machine learning techniques with a real-world medical data set
Patent filed on heart failure event classification using classifier fusion

### Engineering Intern @ SanDisk
Jan 2009 – Jan 2009 | Milpitas, California
Performed benchtesting, data collection, processing, and basic analysis of SSD prototypes.


## Education
### Doctor of Philosophy (Ph.D.) in Electrical and Computer Engineering
The Johns Hopkins University

### Bachelor of Science (BS) in Computer Engineering
Santa Clara University


## Contact & Social
- LinkedIn: https://linkedin.com/in/guy-hotson-a6941695

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Source: https://flows.cv/guyhotson
JSON Resume: https://flows.cv/guyhotson/resume.json
Last updated: 2026-04-10