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Graham Yennie
Data science and machine learning engineering leader
Education Overview
• stanford university
• clemson university
Companies Overview
• fortive
• lucas systems
• petuum inc.
• applied materials
• eastman chemical company
• michelin
• e1 asset management
Experience Overview
8.1 Years
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Experience
Senior Software Engineering Manager - Data/ML Engineering
fortive | Pittsburgh, Pennsylvania, United States
2021 - Present
Skills
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Amazon S3
Amazon Web Services (AWS)
Application Programming Interfaces (API)
architecture
AWS Lambda
Backend
CI/CD
Data Science
Data Scientist
Docker
ECS
Elastic Search
ElasticSearch
infra
Infrastructure
Kubernetes
Machine Learning (ML)
Manufacturing
Microservices
Natural Language Processing (NLP)
NLTK
optimization
Python
Research Scientist
SaaS
Scikit
Search
Senior Software Engineer
Software Engineering
Tensorflow
Web
Contact Details
Email (Verified)
graXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
stanford university
Master of Science (MS)
2015 - 2018
clemson university
Bachelor of Science (B.S.)
2010 - 2013
Frequently asked questions
What company does Graham Yennie work for?
Graham Yennie works for fortive
What is Graham Yennie role in his workplace?
Graham Yennie's role in his workplace is Senior Software Engineering Manager - Data/ML Engineering
What is Graham Yennie's tenure in his workplace?
Graham Yennie's tenure in his workplace is 3.84 years
What is Graham Yennie's total experience?
Graham Yennie's total experience is 8.08 years
What is Graham Yennie's LinkedIn profile?
What is Graham Yennie's email address?
What is Graham Yennie's phone/WhatsApp number?
What schools did Graham Yennie attend?
Graham Yennie has attended stanford university, clemson university
What companies has Graham Yennie worked with?
Graham Yennie has worked with fortive, fortive, lucas systems, petuum inc., applied materials, eastman chemical company, michelin, e1 asset management
What are some of Graham Yennie's skills?
Graham Yennie has skills in Amazon S3, Amazon Web Services (AWS), Application Programming Interfaces (API), architecture, AWS Lambda, Backend and more.
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