#10 Competitor for the Leader's Prize
Using BERT, XLNet...
Curricula Generation with Geometric Deep Learning
Using Deep Q-Learning in PyTorch
Vision for the Visually Impaired
~$2mil of Unused Government Funding, from the CLB
A Power BI Dashboard Visualizing CLB Data
I ended in #10 in the Leaders Prize. I built NLP models to identify fake news, using algorithms such as XLNet and BERT.
I build out ML models to predict likelihood of fraud at branches using algorithms such as XGBoost.
I worked on the Azure team, building out forecasting algorithms to identify high-value customers early on.
I’m currently studying Software Engineering at uWaterloo. I host a 20 member ML group, running weekly ML sessions.
A human accelerator in Toronto with the mission to ‘create exceptional people to solve the world’s biggest problems.’
I've always learnt online. Starting with Codecademy (HTML), moving to Coursera (ML), Udacity (ML), and Udemy.
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- Jerry Qu"So why would I quit? The thought that I would stop when I'm dead. Just popped in my head. I said it, then forgot when I said."
- Eminem"Winners and losers have the same goals. Systems are the processes that lead to results."
- James Clear | Atomic HabitsResults = (Hard Work * Time) ^ Strategy
- I just gotta put in the timeBe Kind.
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