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Michael Schock

AI/ML Engineer, Graduate Student in CS, Specializing in ML

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About

Michael Schock is a highly skilled Machine Learning Engineer with over 5 years of relevant experience. He is currently working at Greyscale AI as a Machine Learning Engineer, where he is responsible for developing and implementing machine learning algorithms to improve the company's products and services. Michael is also pursuing a Master of Science degree in Computer Science with a specialization in Machine Learning at the Georgia Institute of Technology. His academic background in Physics from the University of California, Berkeley, has provided him with a strong foundation in mathematical and analytical skills, which he applies to his work in the field of Machine Learning. Prior to his current role, Michael worked at Ople as a Senior Machine Learning Engineer and Machine Learning Engineer. At Ople, he was responsible for refactoring the data ingestion pipeline into more modular components, driving the model explainability implementation, leading the development of the forecasting service, and developing miscellaneous features and addressing bugs in the company's systems. Michael has a strong technical skill set, with expertise in ML, AI, and Data Science. He is a highly motivated individual who is always looking for new challenges and opportunities to learn and grow. His ability to work well in a team and his excellent communication skills make him an asset to any organization.

Education Overview

georgia institute of technology

Companies Overview

phaidra

georgia institute of technology

greyscale ai

ople

bigcommerce

globant

autodesk

plantlog

Experience Overview

5.4 Years

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Experience

Software Engineer (Machine Learning, AI Platform)

phaidra | Seattle, Washington, United States

2022 - 2024

Teaching Assistant

georgia institute of technology | Atlanta, Georgia, United States

2022 - 2022

Machine Learning Engineer

greyscale ai | San Carlos, California, United States

2021 - 2022

Senior Machine Learning Engineer

ople | San Mateo, California

2018 - 2021

Software Engineer

bigcommerce | San Francisco, CA

2016 - 2018

Software Engineer

globant | San Francisco, CA

2014 - 2016

Software Engineer

autodesk | San Francisco, CA

2014 - 2016

Software Engineer

plantlog | Pleasanton, CA

2012 - 2014

Skills

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Artificial Intelligence (AI)

Automation

Cloud Computing

Computer Vision

Convolutional Neural Networks (CNN)

Data Engineering

Data Modeling

Design

Docker

Image Segmentation

Integration

Kubernetes

Machine Learning (ML)

MLOps

Model-View-Presenter (MVP)

Object detection

Pytorch

R

Sagemaker

Software Engineer

Systems Design

teaching

test

ui

Vision

Contact Details

Email (Verified)

mscXXXXXXXXXXXXXXXXXXXdu

Mobile Number

+91XXXXXXXXXX

Education

georgia institute of technology

Master of Science - MS

2018 - 2025

Frequently asked questions

What company does Michael Schock work for?

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Michael Schock works for phaidra

What is Michael Schock role in his workplace?

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Michael Schock's role in his workplace is Software Engineer (Machine Learning, AI Platform)

What is Michael Schock's tenure in his workplace?

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Michael Schock's tenure in his workplace is 1.25 years

What is Michael Schock's total experience?

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Michael Schock's total experience is 5.42 years

What is Michael Schock's LinkedIn profile?

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Michael Schock's LinkedIn profile can be found here

What is Michael Schock's email address?

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Michael Schock's email address is mscXXXXXXXXXXXXXXXXXXXdu. Unlock here

What is Michael Schock's phone/WhatsApp number?

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Michael Schock's phone number is +91XXXXXXXXXX. Unlock here

What schools did Michael Schock attend?

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Michael Schock has attended georgia institute of technology

What companies has Michael Schock worked with?

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Michael Schock has worked with phaidra, georgia institute of technology, greyscale ai, ople, bigcommerce, globant, autodesk, plantlog

What are some of Michael Schock's skills?

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Michael Schock has skills in Artificial Intelligence (AI), Automation, Cloud Computing, Computer Vision, Convolutional Neural Networks (CNN), Data Engineering and more.

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