teachers & mentors, A WORLD-CLASS TEAM
WE’VE ASSEMBLED WORLD-CLASS EXPERTS TO GUIDE YOU ON YOUR AI JOURNEY. OUR INSTRUCTORS AND MENTORS WILL WITH YOU EVERY STEP OF THE WAY.
Qingchen is an award-winning data scientist with rigorous training in machine learning, artificial intelligence, statistics, and econometrics. He is one of only 87 grandmasters (as of mid-2017) on the Kaggle data science competition platform (top rank of 14th out of 52,000+ active competitors on Kaggle), and he also have significant experience in software engineering (C++, Java, Python).
Currently he is working on research and development of data-driven solutions to problems in digital marketing.
Machine Learning Expert Ranked #1 out of 78,200 active data scientists at Kaggle for more than 2 years (https://www.kaggle.com/titericz) 14x Prize Winner 29x Top-1%-placed in competitions
After spending nearly a decade at UC Berkeley, Kelvin decided to repay his debt to the public education system by helping build UC Merced. He spent seven years teaching 4,500 students across 55 classes, while redesigning the undergraduate Computer Science curriculum. He is currently designing curricula at NVIDIA’s Deep Learning Institute (DLI) to democratize access to the latest technologies across many disciplines, industries and geographies. Kelvin helped DLI reach over 100K developers worldwide directly and in collaboration with Udacity and Coursera/Deeplearning.ai. He continues to search for ways to leverage AI to solve the Paradox of Progress.
Daniel is an expert software engineer, Python programmer, and machine learning specialist. When he’s not developing high-performing, end-to-end pattern recognition and predictive analytics systems for his clients, Daniel’s learning new tricks to train deep neural networks more efficiently. Through his company Natural Vision, he’s been successfully applying deep learning to problems in bioacoustics, computer vision, and text mining. He’s the designer and coauthor of skorch, A scikit-learn compatible neural network library that wraps pytorch.
DR. JOSÉ QUESADA
Jose Quesada is CEO and founder of AI Deep Dive. He did his PhD work at UC Boulder and then Carnegie Mellon. At Data Science Retreat (market leader in AI training in Europe, which he also founded), Jose mentored > 200 machine learning AI portfolio projects. Some resulted in startups, others ended up being non-profits with significant social impact.
Subash Gandyer is a seasoned AI/ML practitioner with 5+ years of experience. Currently working as a Data Scientist in a Healthcare StartUp.
He taught Computer Science, Machine Learning, Deep Learning to University students in India for 9+ years.
When he is not building deep models, you can see him dancing in jive and salsa parties
Danilo is AI Deep Dive’s President. He began his career on Bay Street on the Gold Desk of CIBC WOODGUNDY and was employee #30 of global risk management developer ALGORITHMICS INC.
Danilo has had executive sales roles with SCOTIABANK Global Transaction Banking, has worked for Peter Munk’s luxury super-yacht marina Porto Montenegro & launched the AI Deep Dive Toronto office on August 15th.
Arun is currently pursuing his master’s in international business and consulting with a specialization in Human Resource Management at the Berlin School of Economics and Law. He has over 6 years of industry experience in Human Resource Management with special focus in Learning and Development. He is handling the human resource activities of AI Deep Dive and is also assisting the CEO in smooth running of the daily operations.