Greer Viau
Senior Software Engineer at Matterworks
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolGreer Viau is a Senior Software Engineer in Boston with eight years of hands-on experience building production systems across backend infrastructure, real-time video streaming, cloud services, and robotics. He combines a Computer Science background in AI and robotics with practical expertise in Python, C++, .NET Core, React, SQL/NoSQL, and Elasticsearch to deliver scalable data pipelines and low-latency WebRTC video solutions. At American Robotics he designed a modular data pipeline to process imagery, LiDAR and metadata with ML models, and at Odyssey Systems he led a sub-300ms live-streaming architecture for military-grade web deployments. Greer also experiments with cutting-edge ML—his SnakeAI project applies genetic algorithms to evolve neural controllers and demonstrates a taste for visualizing and persisting model evolution. Comfortable across research-style prototyping and production engineering, he thrives on making complex sensor and ML systems operational and debuggable at scale.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Salem State University
Stackoverflow
21reputation
302reached
0answers
2questions
Github Skills (17)
genetic-algorithm10
python10
machine-learning-models10
machine-learning10
trainings10
ai10
neural-network10
modeling10
data-visualization8
data-visualisation8
data-visualizations8
audio-streaming6
raspberry-pi6
deep-learning6
pyaudio6
Programming languages (8)
Github contributions (5)
greerviau/SnakeAI
Nov 2018 - Mar 2019
Train a Neural Network to play Snake using a Genetic Algorithm
Role in this project:
ML Engineer
ML EngineerContributions:56 commits, 2 PRs, 45 pushes in 4 months
Contributions summary:Greer primarily focused on developing and improving a neural network for playing the Snake game using a genetic algorithm. They implemented the core logic for the Snake AI, including vision calculations, decision-making based on the neural network output, fitness calculations, and genetic algorithm components like crossover and mutation. Further work involved adding features such as saving and loading trained models, a mutation rate adjustment, and a visualization of the evolution process through a graph.
pythongeneticsnakeneural-networksmachine-learning
greerviau/openvoiceassistant-node
Jun 2022 - Nov 2022
Contributions:4 releases, 76 commits, 23 PRs in 4 months
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