Location: West coast Canada.
Remote: Yes.
Technologies: Machine learning, Python, Tensorflow/Keras/pytorch, A whole host of technologies over 25 year career.
email in profile.
I'm an experienced Data scientist, who's worked on a bunch of interesting projects. With Covid I've come to realize I need to work in public more often.
So an ideal fit would be a small/medium company with hair on fire problems that need solving that I can talk about publicly. What sort of problems do I like?
I worked with a Stuttgart based auto manufacturer to identify and predict when a part they had would fail. It turns out the answer will be familiar to west coast Canadians - The leaky condo crisis.
I worked with a well known cloud vendor to predict server failiures. Built a simple and efficient detection system that worked well. They got several minutes warning to load shift before a server failed.
A Taxi company in latam hired me to built a fleet maintenance system. It predicted and scheduled preventative maintenance to reduce wear and tear and avoid breakdowns. We also identified the leading cause of wear - leadfoot drivers. So we built a system that would identify aggressive driving.
Another example was a speculative sports highlights annotation system I built with a consultancy. It ingested sports video and identified predetermined highlights in baseball - diving catches in our case. The ML pipeline was a CNN model which fed into an RNN. Given a bunch of video clips of diving catches as training data, it could later identify those diving catches and automatically annotate the video feeds.
Who shouldn't contact me.
If your market is Ads or gambling I'm not interested. Sure there's lot of money, but I'd rather sleep at night. Thanks.
What I'm working on right now:
Low compute AI and connecting them to interpretable and defensible knowledge bases. I think these huge models that cost millions to train are the wrong path. I'll show things in public in time.