Name: Ee Kin Chin
Profile: Staff Machine Learning Engineer @ DataRobot
Email: chindickson93@gmail.com
Skills
About me
Welcome to my personal website! I'm a tech lead specializing in building and maintaining machine learning models, tools and systems. These components i've built and maintained drive business value for hundreds of fortune 500 companies. Outside of work, I delve into AI research, creating new systems and software. This space isn't just a showcase of my past work, it's a platform for my blog posts and AI apps free to view and use. Most importantly, it's a place to build a community where we can learn, innovate, and grow together.
I also run a YouTube channel, TheEeKinChin, where I share high-level overviews on AI topics, introduce AI concepts, and showcase projects. I'm the author of "The Deep Learning Architect’s Handbook", a book that guides you through the entire life cycle of a deep learning-based use case. You can find it on Amazon here. It's also available in many other book websites.
Throughout my career, I've worked in various roles, from Staff Machine Learning Engineer to Senior Deep Learning Engineer, and Data Scientist, in both Singapore and Canada. My expertise lies in Project Management, Team Leadership, Technical Writing, and Machine Learning. I hold three patents in machine learning and am always eager to push the boundaries of AI. So, join me on this journey as we explore the future of AI together!
Years of Experience in AI
AI Book
Patents
AI Youtube Videos
Checkout my book on Real World Deep Learning!
The Deep Learning Architect's Handbook
Embark on a journey to master the art and science of deep learning architecture with this comprehensive guide. "The Deep Learning Architect's Handbook" is your passport to the cutting-edge world of AI, providing you with the knowledge and insights needed to design and implement state-of-the-art neural networks.
What you'll discover:
- Advanced concepts in deep learning architecture
- Cutting-edge techniques for neural network optimization
- Strategies for designing scalable and efficient models
- Real-world case studies and hands-on examples
- Expert insights on the future of AI and deep learning
Book Testimonials!
Vikram Chaudhary
VP of Products @ Neuronn AI
My background is an executive-level product leader at Meta's AI Infrastructure organization, and I was impressed and grateful to read this book. It is an amazing resource for learning all the different aspects of AI, especially Deep Learning techniques like Supervised Learning, Neural Networks, and all the flavors of these and other areas of AI. The book is simultaneously at an introductory level if you are technically aware, then business-relevant because it talks about the different use cases. It is also deep enough for architects looking to understand how the technology works, and finally, you have Python examples and sample code to accelerate your engineering learning. This should be your Deep Learning bible!
Petr Kazar
CTO / Chief Architect at ABIS Czech & Fast Inference Scout™
Your book is a kind of masterpiece in terms of all the topics covered and well balanced theory and practice. I really see there all the months needed to refine it.
Steven Fernandes
Deep Learning Researcher
This book delves into advanced AI techniques, emphasizing the automation of artificial neural network design via neural architecture search (NAS). It guides on implementing various models like RNNs, CNNs, BERT, and transformers, and tackles challenges such as data drift, model evaluation for quality and bias, and defense against adversarial attacks. Additionally, it covers model deployment using DataRobot AutoML, making it a practical resource for mastering contemporary machine learning implementations.
Bruce Grey Tedesco
Chief Science Officer
Presenting state-of-the-art content with excellent illustrations, Ee Kin Chin’s The Deep Learning Architect’s Handbook is a welcome addition to the library of any practitioner in the fields of data science, ML/AI, or deep learning. For a DL Architect, frameworks in The Handbook are useful for reviewing and expanding current knowledge....
Eu Jin Lok
Lead Data Scientist @ DataRobot
Simple but Deep, the best practical deep learning book I've read.
Contact
Reach out to me through my email listed below for any consultation, requests for any youtube video topics, youtube video sponsorship or recruiting requests.