Haley Eshagh
@roopher
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Scientist-turned-storyteller, podcast junkie, and coffee + bagel enthusiast. I've written about everything from dinosaurs to jury-rigging the space station.
Joined June 2009
RT @getnextmv: Looking for an open source, CLI plotting tool that works with arbitrary JSON formats? Look no further >> .
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Congrats to the whole team 👏 ! Check @getnextmv out on Product Hunt and may your solutions be ever improving 🖖.
🎉 We’re live on Product Hunt!. We’re incredibly proud of the entire team for the work they’ve done to create and launch the Nextmv platform. The OR community is near and dear to us. Head over to the launch and let us know what you think! >>
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RT @getnextmv: 🎉 We’re thrilled to release v1.0 of the Nextmv platform! . This release brings all the tooling together – for development, t….
nextmv.io
Our first major version has landed – merging tools for building, testing, deploying, and managing decision models into one platform. Ship more models, rapidly iterate and improve, and make greater...
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A fun interview with the @kale__co team about creating a greener future by starting with a rethink on cargo bike delivery logistics.
How do you support sustainable and resilient city design in the face of climate change? One way: optimize urban delivery #logistics by starting with dispatch apps for eco-friendly operators. The @kale__co co-founders explain: #orms #cargobikes #ML #AI.
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RT @getnextmv: 🎉Our integration with Google OR-Tools is here – and we can’t wait for you to try it! Bring your OR-Tools model and launch it….
nextmv.io
We’re thrilled to announce our integration with OR-Tools – pairing production-ready infrastructure, version management, and testing capabilities with the modeling libraries and solvers you know and...
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RT @getnextmv: New release! Shadow test decision models with Nextmv. Check out all the goodness in the release blog: .
nextmv.io
Shadow testing isn’t just for the MLOps crowd. Decision algorithm teams can have it too for their optimization models solving routing, scheduling, allocation, and fulfillment problems across supply...
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RT @getnextmv: Shadow testing is a useful way to de-risk decision algorithm rollout and build confidence in deploying changes to production….
nextmv.io
You’re pretty sure your staging model is ready for production. Pretty sure... But you want to test it under real-world conditions without real-world impact. Shadow testing gives your “understudy”...
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Two extraordinary humans, Go devs, and decision optimization gurus to run into and chat with for sure.
At @gopherconeu with @larsbeck and @getnextmv. Looking forward to all the great talks! If you are interested in route optimization technology written in Go, talk to us 🤓 #gopherconEU #golang
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RT @getnextmv: "Troubleshooting without testing is complicated. These are plans that drive real-world activities with real people involved.….
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Here's to avoiding melted ice cream with acceptance testing. Nice post from @tiffbogich that's giving more shape to the universe of decision model testing. I'm looking forward to the follow-on posts around scenario testing, benchmarking, shadow testing, etc.
Should you deploy that new decision model to your production systems? Acceptance testing can help you decide. We look at the what, why, when, and how: #orms #modelops #foodlogistics #datascience #decisionops.
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And just like that, a HiGHS/MIP decision model endpoint created in under 3 minutes. .
Are you a fan of @HiGHSOpt like we are? See how to take a locally developed MIP model and deploy it to the cloud in minutes. Watch now >> .#modelops #orms #optimization.
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Running experiments to compare two decision models in the Nextmv console is a super slick experience. It's neat to watch this framework continue to evolve and grow.
Switchback testing, shadow testing, scenario testing, acceptance testing — the universe of optimization model testing can feel unwieldy. @cmoon6 details a framework for model testing and how to approach it: #orms #modelops #INFORMS #datascience.
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Props to @cmoon6 @tiffbogich @ryanjoneil (and Joe!) for some great presentations and demos. Very cool to see the new model testing/experimentation features at work on the farm share delivery problem. May your solutions be ever improving 🖖.
Wrapped @ryanjoneil 's #INFORMS talk on deploying, testing, and collaborating on decision diagram and #MIP models. Want an introduction to custom decision modeling with Nextmv? Join us this Wednesday: #2023Analytics #modelops #orms #decisionops
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This will be a great (short) talk for #golang devs interested/involved route optimization and #fooddelivery.
Late-night pizza, craft kombucha, farm fresh blueberries, frozen popsicles: see how to automate and optimize their delivery with a custom decision model that we’ll build, test, and deploy in under 30 minutes: . #foodlogistics #decisionops #modelops #orms.
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RT @getnextmv: Build a custom package delivery model (step-by-step) with Joe, our Solutions Engineer! In under 30 minutes, he’ll show you h….
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This 👇👇👇 is exciting 🎉🎉🎉.
😮👌🤗 🙌🎉 That feeling when your custom decision #optimization model is running remotely as a service. See how to spin up a unique decision endpoint in minutes. .#orms #devops #routeoptimization.
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If only there were Koroks. .
It’s like a Mario or Zelda speedrun, but for a decision optimization model: See @ryanjoneil start from nothing, initialize a routing model, test it locally, and put it into a prod environment in minutes. #orms #decisionoptimization #routeoptimization
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"And now we need to solve the model. yes, that's right." A neat, lightweight watch.
I recorded a fun video for my coworkers at @getnextmv the other day experimenting with Github Copilot🤖 to solve a knapsack problem using integer programming. It was pretty mind blowing🤯. Anyone else using Copilot for operations research work? #orms.
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A @ryanjoneil presentation is always worth carving out 30 minutes for. He's great at balancing technical deep dive with approachable applications and storytelling.
A dev-focused workflow can accelerate going from decision model definition to production environment. @ryanjoneil explains in an upcoming techtalk, demo, and Q&A — join us: . #orms #decisionoptimization #datascience
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