spitfire

SEEKING WORK - remote

Location: West coast Canada.

Remote: Yes.

Technologies: Machine learning, Python, Tensorflow/Keras/pytorch, spark, Scala, AWS, kafka, HDFS, 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 that I can talk about publicly.

What sort of problems do I like?

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.

You could Make them supply a test case that unlocks the escrow.

This both makes a bar that the bug creator has to pass, filtering some of the drive by time wasters, and gives a reward to the developers for fixing it.

Talkie the toaster, a true menace.

Red Dwarf predicted the horrors of AI three decades ago.

https://www.youtube.com/watch?v=LRq_SAuQDec

Ah yup. My mistake. Downvotes well earnt.

SEEKING WORK - remote

Location: West coast Canada.

Remote: Yes.

Technologies: Machine learning, Python, Tensorflow/Keras/pytorch, spark, Scala, AWS, kafka, HDFS, 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 that I can talk about publicly.

What sort of problems do I like?

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.

SEEKING WORK - remote

Location: West coast Canada.

Remote: Yes.

Technologies: Machine learning, Python, Tensorflow/Keras/pytorch, spark, Scala, AWS, kafka, HDFS, 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 that I can talk about publicly.

What sort of problems do I like?

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.

Well, it was Novell. So not that entrenched after all.

SEEKING WORK - remote

Location: West coast Canada. Remote: Yes.

Technologies: Machine learning, Python, Tensorflow/Keras/pytorch, spark, Scala, AWS, kafka, HDFS, 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 that I can talk about publicly.

What sort of problems do I like?

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.

SEEKING WORK - remote

Location: West coast Canada. Remote: Yes.

Technologies: Machine learning, Python, Tensorflow/Keras/pytorch, spark, Scala, AWS, kafka, HDFS, 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 that I can talk about publicly.

What sort of problems do I like?

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.

Each banknote will have a unique serial number. So at least some part of the document will not be known in advance. Though serial numbers are well structured so you can take advantage of that.

Can't edit anymore so.

I guess I should also add with the new year (happy new years everyone) I'm actually looking for good projects. Ideally a time-boxed with an output that can actually affect the business. That shouldn't need to be said, but too often does.

Feel free to contact me and we can work something out.

SEEKING WORK - remote

Location: West coast Canada. Remote: Yes.

Technologies: Machine learning, Python, Tensorflow/Keras/pytorch, spark, Scala, AWS, kafka, HDFS, 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?

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.

Also, perl.

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. I'd love to work on LLM safety, but despite the hype about it I suspect it's a bit too early for serious work there.

> Modern cars are much, much more reliable and durable than ones built at any time in the past

Bullshit.

Mercedes-Benz W123.

I'll bite.

Two masterpieces with Alec Guinness - Obe Wan Kenobi.

Tinker tailor soldier spy. Smileys people.

Forensic accountancy with violence W/ Roy Marsden

The Sandbaggers

"Google apparently backs off on WEI."

For the time being.

SEEKING WORK - remote

Location: West coast Canada. Remote: Yes.

Technologies: Machine learning 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. Since 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?

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.

Wolfenstein was mode 13h 256 VGA colour.

That's a really neat little business. I like it a lot.

This is something worth looking into.What would a modern system built in 2023 with auto-configured everything look like?

I don't mean take Linux with some added magic - that's MacOS. I mean a full modern distributed auto-configured, plug'n'play system. Sort of a modern AS/400 meets Macintosh.

There was August with Josh Hartnett

https://www.imdb.com/title/tt0470679/?ref_=nm_flmg_t_29_act

In 1990 you could have up to 4 displays on a NeXT Cube + 3 NeXTDimension 32bit colour boards. These were 1152x864 32bit colour displays at a time when people were using 80x25 16 colour text (likely, wordperfect/Lotus 123), or /maybe/ 640x480 16 colour graphics in windows 3.0.

NeXT had full ipv4 support from the start.

Unicode wasn't a thing until after Apple bought them.

One experiment I've done on my own NeXTStation turbo was run equivalent applications on both a NeXT and a modern Intel mac pro. Mathematica, email, Framemaker/affinity publisher all take roughly the same time to load and execute similar tasks.

Yes you can't do 3d, video, or AI on a 33 year old NeXT, and the image files would be smaller, but beyond that you could easily do your day to day work on such a system. It doesn't feel old at all.

You can find all of John Boyd's work on Chet Richards' website. Chet was one of the Boyd acolytes.

https://slightlyeastofnew.com/439-2/

Also very much worth looking at is Frans Osinga's thesis/book "Science, strategy, and war."

http://www.projectwhitehorse.com/pdfs/ScienceStrategyWar_Osi...

So when the hell is Imphobia #13 coming out? Been waiting a while here.

No, it’s means it’s only a demo if it comes from The Uusimaa region of Finland, otherwise it’s just sparkling graphical effects.

So like the palmpilot had in the 1990's.. Cool. But i'm so over people recycling old ideas and pretending they're new.

How large are PFAS particles? Because the Bowman's layer found just under the epithelium should stop most particles from reaching the stroma. The Bowman's layer is particularly frustrating for medicinal delivery - it stops most particles from reaching stroma/endothelium. This makes corneal burn recovery quite difficult.

So if PFAS has some mechanism to pass through the Bowman's layer, it could be useful for medicine delivery and healing corneal wounds.

A few divorces.

Or a mistress or three.

Uhm have you forgotten the incredible talents of Russ hanneman? (Chris Diamantopoulos)

Here he is.

https://torontolife.com/city/this-man-is-the-jeff-bezos-of-t...

I’d install quantrix. It’s available from the same nextcomputers.org archive that you get the roms from.

Lighthouse gave away serial keys to all their products when sun bought them.