Hello!

Currently I am leading artificial intelligence with my colleagues in ensemblecap.ai, an AI hedge fund based in Singapore comprising quants and traders from JPMorgan. I have built the whole AI tech stack in a production environment with rigorous time-sensitive and fail-safe software testing powering multi-million dollar trades daily. Additionally, I co-run, as portfolio manager, our deep learning systematic portfolio, delivering positive annual returns since 2018.

I am also an NVIDIA Deep Learning Institute instructor leading all deep learning workshops in NUS, Singapore and conducting workshops across Southeast Asia.

My passion for enabling anyone to leverage on deep learning has led to the creation of Deep Learning Wizard where I have taught and still continue to teach more than 2000 students in over 60 countries around the world. The course is recognized by Soumith Chintala, Facebook AI Research, and Alfredo Canziani, Post-Doctoral Associate under Yann Lecun, as the first comprehensive PyTorch Video Tutorial.

I have taught Deep Learning Foundations with Alfredo Canziani at Rwanda, Africa for the African Masters in Machine Intelligence (AMMI) in 2018 supported by Google and Facebook.

In my free time, I’m into deep learning research on hyperspectral satellite imaging and financial time series with researchers in NUS, Montreal Institute for Learning Algorithms (MILA), New York University (NYU), African Institute for Mathematical Sciences (AIMS) and Hong Kong University of Science and Technology (HKUST). I am a research scholar in NExT (NUS).

I was previously conducting research in meta-learning for hyperparameter optimization for deep learning algorithms in NExT Search Centre that is jointly setup between National University of Singapore (NUS), Tsinghua University and University of Southampton led by co-directors Prof Tat-Seng Chua (KITHCT Chair Professor at the School of Computing), Prof Sun Maosong (Dean of Department of Computer Science and Technology, Tsinghua University), and Prof Dame Wendy Hall (Director of the Web Science Institute, University of Southampton).

I graduated from NUS where I was an NUS Global Merit Scholar, Chua Thian Poh Community Leadership Programme Fellow, Philip Yeo Innovation Fellow, and NUS Enterprise I&E Praticum Award recipient. I was awarded the IT Youth Leader of the Year Award in 2019.

Deep Learning Courses with Deep Learning Wizard


Upcoming Talks/Workshops

  • Natural Language Processing with Deep Learning, NVIDIA, Singapore, 2019
  • Computer Vision with Deep Learning 2.0, NVIDIA, Singapore, 2019

Publications

Past Talks/Workshops

Past Projects

Past Articles

The Great Conundrum of Hyperparameter Optimization, REWORK, 2017

Awards

IT Youth Leader of The Year 2019, Singapore Computer Society
Prestigious award for my industry, academic and charitable work in ensemblecap.ai, Deep Learning Wizard, NVIDIA and NUS

Chua Thian Poh Community Leadership Programme Fellow 2018, NUS
Established with generous gifts from Mr Chua Thian Poh, the Centre aims to nurture Singapore’s next generation of community leaders. These leaders will not only be intellectually engaged with social and community issues, but will also be passionate about addressing social and community challenges in Singapore.

Philip Yeo Innovation Fellowship 2017, NUS
Award with mentorship by Philip Yeo, Chairman of Spring Singapore.
I am fortunately also under the mentorship of Kiren Kumar (AMD, EDB) and Abel Ang (CEO, EDIS).

Valedictorian (Reserve) Class of 2018, NUS

Global Merit Scholarship 2014-2018, NUS
NUS top scholarship with only 4 awarded in NUS across all faculties for the year of my admission.
Full scholarship amounting to more than $100,000 covering tuition, allowance, accommodation, and overseas trips.

I&E Practicum Award 2017, NUS
$10,000 Award.

Dean’s List 2015/2016, NUS
Top 5% of my cohort.

Online Profiles

Github
Linkedin

Languages, Libraries and Frameworks

Machine Learning Database General Programming
PyTorch Apache Cassandra C++
TensorFlow   Python
Keras   Bash Scripting
TensorLayer   LaTeX
OpenCV    
Scikit-learn    
cuDF/cuML (RAPIDS)    
Pandas/NumPy    

Credits

I would like to thank all my readers for their encouraging participation on this Github page. I would also like to thank Github Pages for serving this respository of notes for free.

I would like to give full credit to the respective authors for their free courses and materials online like Andrew Ng, Data School and Udemy where my notes are from them. These personal notes are meant for my personal review but I have open-sourced my repository of personal notes as a lot of people found it useful.

Take note that I’m currently concentrating entirely on building materials for Deep Learning with PyTorch from mastering deep learning, to deploying deep learning algorithms in production, and to to solve many problems through Deep Learning Wizard.

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