Peter Dimeo Email and Phone Number
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As a specialist in designing and integrating cutting-edge AI and machine learning solutions into both software and hardware products, I bring a strong academic foundation and proven industry experience. I hold a Master's and Bachelor's degree in Mechanical Engineering from the University of Massachusetts Amherst, where I was a full-time research assistant at the Intelligent Sensing Lab. My contributions led to notable publications and earned multiple prestigious awards, gaining international recognition for my algorithm research.Currently, at MathWorks, I am responsible for developing AI software for the Antenna and RF PCB Toolboxes. My role involves extensive work with:- Big data- High performance compute clusters- Custom training loops- Novel architecture designI have a proven track record in developing innovative AI technologies that address contemporary challenges. My expertise spans a wide range of AI architectures, including:- Transformers- Convolutional Neural Networks (CNNs)- Generative Adversarial Networks (GANs)- Variational Autoencoders (VAEs)- Long Short-Term Memory (LSTM) networks- Recurrent Neural Networks (RNNs)- Diffusion NetworksI invite you to connect with me to explore how we can push the boundaries of innovation together.
Mathworks
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- mathworks.com
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- 5607
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Software EngineerMathworks Jan 2023 - PresentNatick, Massachusetts, United States- Lead AI software development for Antenna and RF PCB Toolboxes, creating transformer models to enhance electromagnetic simulation speed and developing "patternFromAI" for 3D antenna radiation pattern reconstruction.- Developed a BERT-based LLM for automatic categorization and SPAM filtering of Salesforce cases, leveraging a large dataset and NVIDIA H100 clusters.- Integrated YOLOX models from PyTorch into MATLAB's Automated Visual Inspection Library for the Computer Vision Toolbox™. -
Intelligent Sensing LabUniversity Of Massachusetts Amherst Jun 2020 - Jan 2023Amherst, Massachusetts, United States- Full-time research assistant- Published “Fast and Accurate Autofocus Control Using Gaussian Standard Deviation and Gradient-based Binning” as the first author in Optica, May 2021.- Published "LSTM-Based Model Predictive Control of Piezoelectric Motion Stages for High-Speed Autofocus" in IEEE Transactions on Industrial Electronics, August 2022.- Award "First Place Overall-NSF Research Awards" in ASME IMECE 2020 NSF Poster Competition- Awarded "Third Place Overall NSF Poster Competition" 2021 -
Software Engineer InternMathworks May 2022 - Sep 2022Natick, Massachusetts, United States- Quality Engineer Intern for Simulink Visualization Team
Peter Dimeo Education Details
Frequently Asked Questions about Peter Dimeo
What company does Peter Dimeo work for?
Peter Dimeo works for Mathworks
What is Peter Dimeo's role at the current company?
Peter Dimeo's current role is AI/ML Research and Development Software Engineer / MathWorks Engineering Development Group.
What is Peter Dimeo's email address?
Peter Dimeo's email address is pd****@****ass.edu
What schools did Peter Dimeo attend?
Peter Dimeo attended University Of Massachusetts Amherst, University Of Massachusetts Amherst.
Who are Peter Dimeo's colleagues?
Peter Dimeo's colleagues are Matthew Lister, Ashwini Kulkarni, Amrish Singh Karchuli, Desiree Wolfrum, Mary O'hara Moore, Omkar Sastry, Richard S..
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Peter DiMeo
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Peter DiMeo
Cary, Nc1jonath-dimeo.com
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