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Juv Chan
Cloud Technical Lead | AWS ML Hero | MS Azure MVP Reconnect | AWS Certified Solutions Architect - Professional | MS Certified: Azure Solutions Architect & DevOps Expert | Certified Kubernetes Application Developer CKAD
Juv Chan is an IT professional with extensive experience in cloud computing, machine learning, and artificial intelligence. He currently holds the position of IT Solutions Architect - Cloud Adoption Technical Lead, Cloud Platform at GREAT EASTERN.1
Professional Background
Juv Chan has a strong background in various cloud and AI technologies:
AWS Expertise:: He is recognized as an AWS Machine Learning Hero, demonstrating his proficiency in Amazon Web Services' machine learning offerings.5
Azure Certification:: In May 2020, Juv Chan passed the Microsoft Azure AI Engineer Associate certification exam, highlighting his expertise in Azure's AI capabilities.2
TensorFlow Specialization:: He completed a TensorFlow specialization in June 2019, further solidifying his skills in machine learning and deep learning.3
Current Role and Connections
At GREAT EASTERN, Juv Chan serves as an IT Solutions Architect, focusing on cloud adoption and cloud platform technologies.1 His LinkedIn profile shows that he has over 500 connections, indicating a strong professional network in the industry.1
Contributions and Insights
Juv Chan is active in sharing his knowledge and experiences:
- He has provided insights on AWS re
conferences, particularly on machine learning keynotes.4 - As an AWS Machine Learning Hero, he likely contributes to the AWS community and helps others learn about machine learning on the AWS platform.5
Previous Experience
Before his current role at GREAT EASTERN, Juv Chan worked as an AI automation engineer at UBS, the world's largest wealth manager. In this position, he engineered and implemented new automation workflows, natural language processing, and machine learning solutions.5
Juv Chan's diverse skill set and experience in cloud technologies, machine learning, and AI make him a valuable professional in the rapidly evolving field of IT and cloud computing.
Highlights
I would like to share my personal insights and views on the key highlights and recap on the AWS re:Invent 2020 Machine Learning Keynote by Dr. Swami Sivasubramanian in this blog post.
I have added some supporting and additional references and annotations on the facts and points mentioned in the keynote session for the clarity and convenience of the readers.
Any feedback or suggestion is welcomed and appreciated.
#awscloud #awsreinvent #machinelearning #awstraining
Cameron Peron Jeff Barr Julien SIMON
I have finally attained the TensorFlow Developer Certificate after months of preparation! :) It's an important milestone for my professional machine learning career development.
TensorFlow is the second most popular machine learning framework after scikit-learn in the Kaggle State of Machine Learning and Data Science 2020. It is also the second most wanted other frameworks, libraries and tools after Node.js in the StackOverflow Developer Survey 2020.
The Coursera's DeepLearning.AI TensorFlow Developer Professional Certificate courses and code samples from TensorFlow are the primary resources I used for the exam preparation.
I would also strongly recommend the books: "AI and Machine Learning for Coders" by Laurence Moroney, "Deep Learning with Python, 2nd Edition" by François Chollet and "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition" by Aurélien Géron
I look forward to take the Coursera DeepLearning.AI TensorFlow: Advanced Techniques Specialization soon to advance my TensorFlow skills. Thanks very much Laurence Moroney for all the great TensorFlow courses!
Credential URL: https://lnkd.in/giqYC35
#tensorflow #developer #certification #machinelearning #professionaldevelopment #coursera #deeplearningai
