Location: West coast Canada.
Remote: Yes.
Relocate: No.
Technologies: Python, Tensorflow/Keras/pytorch, spark, AWS, kafka, HDFS, logstash, etc.
A whole host of technologies over 20 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.
What sort of problems do I like?
Well 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.
Things I'd love to work on:
ML security and safety. Can your DS process be made to give up its internal workings? Can I subvert it to cause unsafe conditions? Almost no one is thinking about these questions, and I'd like the chance to.
Location: West coast Canada. Remote: Yes. Relocate: No.
Technologies: Python, Tensorflow/Keras/pytorch, spark, AWS, kafka, HDFS, logstash, etc. A whole host of technologies over 20 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.
What sort of problems do I like?
Well 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.
Things I'd love to work on:
ML security and safety. Can your DS process be made to give up its internal workings? Can I subvert it to cause unsafe conditions? Almost no one is thinking about these questions, and I'd like the chance to.