Technologies/techniques: Machine learning/AI, LLM's/RAG/KB's, Transformers, GenAI, MCMC, MCTS, Bayesnets, Neural architecture search, Python, Pytorch/Tensorflow/Keras, All the tools surrounding ML and AI, A whole host of others.
I'm a data scientist who's worked with companies you know. I'm looking for the next project.
I just lost a large project with an airline to a large consulting shop, so I'm available right away.
The project was network scheduling during cascading failures in airline routes. A pilot calls in sick,
or a plane has an unrepairable fault. How does the airline reschedule crews/planes to keep the maximum number of flights/passengers satisfied, taking into account cascade effects. Involves some deep ML, and some really trick optimization methods.
I've worked on other projects including large language models, knowledge extraction, and the usual ML stuff - failure prediction, translation, maintenance optimization, automated sports highlights, and more. I've also done some more interesting work including vehicle route planning in constrained environments.
The perfect fit is a small/medium sized company with a hair on fire green or brownfield problem that needs solving.
I'm available immediately, and champing at the bit before boredom sets in. Email in profile.
I'm a data scientist who's worked with companies you know. I'm looking for the next project.
I just lost a large project with an airline to a large consulting shop, so I'm available right away.
The project was network scheduling during cascading failures in airline routes. A pilot calls in sick,
or a plane has an unrepairable fault. How does the airline reschedule crews/planes to keep the maximum number of flights/passengers satisfied, taking into account cascade effects. Involves some deep ML, and some really trick optimization methods.
I've worked on other projects including large language models, knowledge extraction, and the usual ML stuff - failure prediction, translation, maintenance optimization, automated sports highlights, and more. I've also done some more interesting work including vehicle route planning in constrained environments.
The perfect fit is a small/medium sized company with a hair on fire green or brownfield problem that needs solving.
I'm available immediately, and champing at the bit before boredom sets in. Email in profile.
Location: West coast, remote only.
Technologies/techniques: Machine learning/AI, LLM's/RAG/KB's, Transformers, GenAI, MCMC, MCTS, Bayesnets, Neural architecture search, Python, Pytorch/Tensorflow/Keras, All the tools surrounding ML and AI, A whole host of others.
I'm a data scientist who's worked with companies you know. I'm looking for the next project. I just lost a large project with an airline to a large consulting shop, so I'm available right away.
The project was network scheduling during cascading failures in airline routes. A pilot calls in sick, or a plane has an unrepairable fault. How does the airline reschedule crews/planes to keep the maximum number of flights/passengers satisfied, taking into account cascade effects. Involves some deep ML, and some really trick optimization methods.
I've worked on other projects including large language models, knowledge extraction, and the usual ML stuff - failure prediction, translation, maintenance optimization, automated sports highlights, and more. I've also done some more interesting work including vehicle route planning in constrained environments.
The perfect fit is a small/medium sized company with a hair on fire green or brownfield problem that needs solving.
I'm available immediately, and champing at the bit before boredom sets in. Email in profile.
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