SEEKING CONTRACT WORK - remote, email in profile.
Location: West coast, remote only.
I'm a data scientist with more than 15 years experience who has worked with major automakers, shipping companies, and F100 companies, I'm looking for my next project. An ideal fit is a small/medium company with green or brownfield problems that need solving.
I'm skilled at building from 0 to 1, I normally do what is now called data engineer, data scientist, and machine learning engineer as one person. My work usually involves finding non-traditional datasources - Once it was USDA data for rural community demographic enrichment, Several times it was getting hands on with people or equipment. If we work together I'll do what I need to in order to solve the problem.
Technologies/techniques: Machine learning/AI, LLM's/RAG, All the tools surrounding ML and AI, A whole host of others.
Contact me if you have a tough challenge I can gnaw on.
I'm a data scientist with more than 15 years experience who has worked with major automakers, shipping companies, and F100 companies, I'm looking for my next project. An ideal fit is a small/medium company with green or brownfield problems that need solving.
I'm skilled at building from 0 to 1, I normally do what is now called data engineer, data scientist, and machine learning engineer as one person. My work usually involves finding non-traditional datasources - Once it was USDA data for rural community demographic enrichment, Several times it was getting hands on with people or equipment. If we work together I'll do what I need to in order to solve the problem.
Technologies/techniques: Machine learning/AI, LLM's/RAG, All the tools surrounding ML and AI, A whole host of others.
Contact me if you have a tough challenge I can gnaw on.
I'm a data scientist who has worked with the likes of Porsche and Mulesoft, I'm looking for the next thing.
Some past work:
- In the wild part failure prediction for automotive parts.
- Server fleet failure prediction for Mulesoft. Giving a warning to do load shedding.
- Real-time Vehicle routing, Get a couch from where you are, to where you want it to be.
- Taxi fleet maintenance optimization and failure prediction for a latam taxi company. Saved entire cars.
- Automated sports highlights - Feed in video, get nicely cut highlights of diving catches, touchdowns, etc.
- Wound identification and mangement - Identify what sort of wound, label and categorize the tissue.
- Account grading and revenue optimization for ARM.
- Maritime anti-piracy - Identifying pirate skiffs, at risk vessels, and routing them aroound danger.
Who should contact me: small/medium company with a hair on fire problem that needs solving.
The 90s was a time when computers were doubling in speed every 18 months.
I remember office 97* being lightning fast on. A 366mhz celeron - a cheap chip in 1998.
You could build fast software today by simply adopting a reference platform, say. A 10 year old 4core system. then measuring performance there. If it lags then do whatever work needs to be done to speed it up.
Personally I think we should all adopt the raspberry pi zero as a reference platform.
Edit: * office 2000 was fast too with 32 megs of ram. Seriously what have we done?
Oh okay. I thought you had something negative to say about thoughtworks. I’ve known a few people who worked there and thought there was some messy business i didn’t know about.
If cr is old tech any keywords for what is new/current tech?
I’m not sure your second point is true. The vast vast majority of classified information is very boring, or operational like frequencies of radar, etc.
Both sides know the basics, it’s what frequencies the radar comms and aircraft work at that is classified.
There’s very little “OMG this one algorithm changes everything!!”. Unless proven otherwise
It's interesting that you note the unreliability. I always assumed tubes were unreliable, but thought anything solid state (even those card based systems) would be "reliable enough" to start taking for granted.
But then you look at it and think Yeah, obviously they're not going to have MTBF times in the millions. It's going to be hundreds of hours - once a week, or maybe every few weeks between real hard crashes.
I'm a data scientist with more than 15 years experience who has worked with major automakers, shipping companies, and F100 companies, I'm looking for my next project. An ideal fit is a small/medium company with green or brownfield problems that need solving.
I'm skilled at building from 0 to 1, I normally do what is now called data engineer, data scientist, and machine learning engineer as one person. My work usually involves finding non-traditional datasources - Once it was USDA data for rural community demographic enrichment, Several times it was getting hands on with people or equipment. If we work together I'll do what I need to in order to solve the problem.
Technologies/techniques: Machine learning/AI, LLM's/RAG, All the tools surrounding ML and AI, A whole host of others.
Contact me if you have a tough challenge I can gnaw on.