Cane Punma
Deep Learning Engineer at Vannevar Labs
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolCane Punma is a Deep Learning Engineer based in New York with nine years of experience applying machine learning and reinforcement learning to real-world products across consulting, fintech, and robotics domains. He helped build PwC’s AI Research team and shipped production solutions ranging from autonomous fleet coordination and RL-driven trading strategies to object detection systems deployed on Raspberry Pi–powered SmartCoolers. At Landis he translated ML into consumer-focused product features that coached clients toward homeownership, and he currently develops deep learning systems at Vannevar Labs. Trained in Industrial Engineering and Computer Science at Georgia Tech, Cane combines optimization mindset with practical ML engineering to bridge research and production. He has a track record of turning complex sensor and image data into operational tools and has experience designing semi-supervised pipelines to amplify limited datasets.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS) Industrial Engineering, Bachelor of Science (BS) Industrial Engineering at Georgia Institute of Technology
English, French, Thai
Github Skills (5)
xslt7
xml7
python5
docx5
powerpoint5
Programming languages (1)
Github contributions (5)
CanePunma/Multi_Agent_Deep_Reinforcement_Learning
Dec 2016 - Mar 2018
Contributions:12 commits, 11 pushes, 1 branch in 1 year 3 months
CanePunma/Stock_Price_Prediction_With_RNNs
Dec 2016 - Feb 2017
Contributions:8 commits, 7 pushes, 1 branch in 2 months
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