dmerrick
Location: USA
Remote: Yes
Willing to relocate: No
Technologies: AWS, GCP, Kubernetes (EKS/GKE), Terraform, Tanka/Jsonnet, Python, Go, Docker, Argo Workflows, Packer, Prometheus/Grafana, GitHub Actions, GitLab CI
Résumé/CV: https://github.com/dmerrick/resume
Email: [email protected]
Most recently built Ginkgo Bioworks' ML model serving platform and multi-tenant GKE infrastructure from scratch (joined via the Reverie Labs acquisition). Before that, was sole infra engineer at Reverie — built their entire AWS platform from the first commit, ran EKS clusters, and supported GPU workloads for computational drug discovery.
Looking for early-stage teams solving hard problems in interesting domains. I value a culture of trust, ownership, and room to build.
At Reverie Labs, we're rethinking drug discovery by building a biotech company that looks and feels like a tech company. We are actively working on several cancer therapeutics programs and building an internal platform to accelerate discovery. We're looking for engineers across the tech stack, including data scientists, front-end engineers, and full-stack devs to expand the computational systems that generate the next era of life-saving treatments for millions of patients. If you think you might enjoy any of these types of projects, we'd love to hear from you! * Architecting a Django REST-driven internal application development ecosystem that supports multiple drug development programs.
* Building performant software for billion-scale molecular analyses alongside machine learning engineers.
* Designing and implementing front-end interfaces that enable our in-house chemistry team to interface with software.
* Using Pandas/R/Plotly/Dash or any other of your favorite analysis tools to extract meaningful insights from datasets.
* Combining a set of 25+ in-house experimental assays and 50+ external data streams into a universally accessible data platform.
* Using a modern cloud-first development stack, giving you access to effectively infinite computing power.
* Owning the full development cycle of a product from ideation to implementation to deployment (of course in collaboration with a team!)
We were in the W18 batch of YC and are now based in the biotech hub in Cambridge, MA. We offer competitive salary and above-market equity. Benefits include full medical, dental, and vision coverage, flexible vacation policy, and gym membership. If you have any questions or want to apply, please reach out to Ankit at [email protected], or apply at our website here: https://reverielabs.com/careers.
At Reverie Labs, we're rethinking drug discovery by building a biotech company that looks and feels like a tech company. We are actively working on several cancer therapeutics programs and building an internal platform to accelerate discovery. We're looking for engineers across the tech stack, including data scientists, front-end engineers, and full-stack devs to expand the computational systems that generate the next era of life-saving treatments for millions of patients. If you think you might enjoy any of these types of projects, we'd love to hear from you! * Architecting a Django REST-driven internal application development ecosystem that supports multiple drug development programs.
* Building performant software for billion-scale molecular analyses alongside machine learning engineers.
* Designing and implementing front-end interfaces that enable our in-house chemistry team to interface with software.
* Using Pandas/R/Plotly/Dash or any other of your favorite analysis tools to extract meaningful insights from datasets.
* Combining a set of 25+ in-house experimental assays and 50+ external data streams into a universally accessible data platform.
* Using a modern cloud-first development stack, giving you access to effectively infinite computing power.
* Owning the full development cycle of a product from ideation to implementation to deployment (of course in collaboration with a team!)
We were in the W18 batch of YC and are now based in the biotech hub in Cambridge, MA. We offer competitive salary and above-market equity. Benefits include full medical, dental, and vision coverage, flexible vacation policy, and gym membership. If you have any questions or want to apply, please reach out to Ankit at [email protected], or apply at our website here: https://reverielabs.com/careers.
At Reverie Labs, we're rethinking drug discovery by building a biotech company that looks and feels like a tech company. We are actively working on several cancer therapeutics programs and building an internal platform to accelerate discovery. We're looking for engineers across the tech stack, including data scientists, front-end engineers, and full-stack devs to expand the computational systems that generate the next era of life-saving treatments for millions of patients. If you think you might enjoy any of these types of projects, we'd love to hear from you! * Architecting a Django REST-driven internal application development ecosystem that supports multiple drug development programs.
* Building performant software for billion-scale molecular analyses alongside machine learning engineers.
* Designing and implementing front-end interfaces that enable our in-house chemistry team to interface with software.
* Using Pandas/R/Plotly/Dash or any other of your favorite analysis tools to extract meaningful insights from datasets.
* Combining a set of 25+ in-house experimental assays and 50+ external data streams into a universally accessible data platform.
* Using a modern cloud-first development stack, giving you access to effectively infinite computing power.
* Owning the full development cycle of a product from ideation to implementation to deployment (of course in collaboration with a team!)
We were in the W18 batch of YC and are now based in the biotech hub in Cambridge, MA. We offer competitive salary and above-market equity. Benefits include full medical, dental, and vision coverage, flexible vacation policy, and gym membership. If you have any questions or want to apply, please reach out to Ankit at [email protected], or apply at our website here: https://reverielabs.com/careers.
At Reverie Labs, we're rethinking drug discovery by building a biotech company that looks and feels like a tech company. We are actively working on several cancer therapeutics programs and building an internal platform to accelerate discovery. We're looking for engineers across the tech stack, including data scientists, front-end engineers, and full-stack devs to expand the computational systems that generate the next era of life-saving treatments for millions of patients. If you think you might enjoy any of these types of projects, we'd love to hear from you! * Architecting a Django REST-driven internal application development ecosystem that supports multiple drug development programs.
* Building performant software for billion-scale molecular analyses alongside machine learning engineers.
* Designing and implementing front-end interfaces that enable our in-house chemistry team to interface with software.
* Using Pandas/R/Plotly/Dash or any other of your favorite analysis tools to extract meaningful insights from datasets.
* Combining a set of 25+ in-house experimental assays and 50+ external data streams into a universally accessible data platform.
* Using a modern cloud-first development stack, giving you access to effectively infinite computing power.
* Owning the full development cycle of a product from ideation to implementation to deployment (of course in collaboration with a team!)
We were in the W18 batch of YC and are now based in the biotech hub in Cambridge, MA. We offer competitive salary and above-market equity. Benefits include full medical, dental, and vision coverage, flexible vacation policy, and gym membership. If you have any questions or want to apply, please reach out to Ankit at [email protected], or apply at our website here: https://reverielabs.com/careers.
At Reverie Labs, we're rethinking drug discovery by building a biotech company that looks and feels like a tech company. We are actively working on several cancer therapeutics programs and building an internal platform to accelerate discovery. We're looking for engineers across the tech stack, including data scientists, front-end engineers, and full-stack devs to expand the computational systems that generate the next era of life-saving treatments for millions of patients. If you think you might enjoy any of these types of projects, we'd love to hear from you! * Architecting a Django REST-driven internal application development ecosystem that supports multiple drug development programs.
* Building performant software for billion-scale molecular analyses alongside machine learning engineers.
* Designing and implementing front-end interfaces that enable our in-house chemistry team to interface with software.
* Using Pandas/R/Plotly/Dash or any other of your favorite analysis tools to extract meaningful insights from datasets.
* Combining a set of 25+ in-house experimental assays and 50+ external data streams into a universally accessible data platform.
* Using a modern cloud-first development stack, giving you access to effectively infinite computing power.
* Owning the full development cycle of a product from ideation to implementation to deployment (of course in collaboration with a team!)
We were in the W18 batch of YC and are now based in the biotech hub in Cambridge, MA. We offer competitive salary and above-market equity. Benefits include full medical, dental, and vision coverage, flexible vacation policy, and gym membership. If you have any questions or want to apply, please reach out to Ankit at [email protected], or apply at our website here: https://reverielabs.com/careers.
At Reverie Labs, we’re rethinking drug discovery by building a biotech company that looks and feels like a tech company. We are actively working on several cancer therapeutics programs and building an internal platform to accelerate discovery. We’re looking for engineers across the tech stack, including data scientists, front-end engineers, and full-stack devs to expand the computational systems that generate the next era of life-saving treatments for millions of patients. If you think you might enjoy any of these types of projects, we’d love to hear from you! * Architecting a Django REST-driven internal application development ecosystem that supports multiple drug development programs.
* Building performant software for billion-scale molecular analyses alongside machine learning engineers.
* Designing and implementing front-end interfaces that enable our in-house chemistry team to interface with software.
* Using Pandas/R/Plotly/Dash or any other of your favorite analysis tools to extract meaningful insights from datasets.
* Combining a set of 25+ in-house experimental assays and 50+ external data streams into a universally accessible data platform.
* Using a modern cloud-first development stack, giving you access to effectively infinite computing power.
* Owning the full development cycle of a product from ideation to implementation to deployment (of course in collaboration with a team!)
We were in the W18 batch of YC and are now based in the biotech hub in Cambridge, MA. We offer competitive salary and above-market equity. Benefits include full medical, dental, and vision coverage, flexible vacation policy, and gym membership. If you have any questions or want to apply, please reach out to Ankit at [email protected], or apply at our website here: https://reverielabs.com/careers.
At Reverie Labs, we’re rethinking drug discovery by building a biotech company that looks and feels like a tech company. We are actively working on several cancer therapeutics programs and building an internal platform to accelerate discovery. We’re looking for engineers across the tech stack, including data scientists, front-end engineers, and full-stack devs to expand the computational systems that generate the next era of life-saving treatments for millions of patients. If you think you might enjoy any of these types of projects, we’d love to hear from you! * Architecting a Django REST-driven internal application development ecosystem that supports multiple drug development programs.
* Building performant software for billion-scale molecular analyses alongside machine learning engineers.
* Designing and implementing front-end interfaces that enable our in-house chemistry team to interface with software.
* Using Pandas/R/Plotly/Dash or any other of your favorite analysis tools to extract meaningful insights from datasets.
* Combining a set of 25+ in-house experimental assays and 50+ external data streams into a universally accessible data platform.
* Using a modern cloud-first development stack, giving you access to effectively infinite computing power.
* Owning the full development cycle of a product from ideation to implementation to deployment (of course in collaboration with a team!)
We were in the W18 batch of YC and are now based in the biotech hub in Cambridge, MA. We offer competitive salary and above-market equity. Benefits include full medical, dental, and vision coverage, flexible vacation policy, and gym membership. If you have any questions or want to apply, please reach out to Ankit at [email protected], or apply at our website here: https://reverielabs.com/careers.
At Reverie Labs, we’re rethinking drug discovery by building a biotech company that looks and feels like a tech company. We are actively working on several cancer therapeutics programs and building an internal platform to accelerate discovery. We’re looking for engineers across the tech stack, including data scientists, front-end engineers, and full-stack devs to expand the computational systems that generate the next era of life-saving treatments for millions of patients. If you think you might enjoy any of these types of projects, we’d love to hear from you! * Architecting a Django REST-driven internal application development ecosystem that supports multiple drug development programs.
* Building performant software for billion-scale molecular analyses alongside machine learning engineers.
* Designing and implementing front-end interfaces that enable our in-house chemistry team to interface with software.
* Using Pandas/R/Plotly/Dash or any other of your favorite analysis tools to extract meaningful insights from datasets.
* Combining a set of 25+ in-house experimental assays and 50+ external data streams into a universally accessible data platform.
* Using a modern cloud-first development stack, giving you access to effectively infinite computing power.
* Owning the full development cycle of a product from ideation to implementation to deployment (of course in collaboration with a team!)
We were in the W18 batch of YC and are now based in the biotech hub in Cambridge, MA. We offer competitive salary and above-market equity. Benefits include full medical, dental, and vision coverage, flexible vacation policy, and gym membership. If you have any questions or want to apply, please reach out to ankit at [email protected], or apply at our website here: https://reverielabs.com/careers.
CoD was never Blizzard
WoW (vanilla) was so good it had a second successful launch 10 years later
Starcraft 2 remains immensely popular
I've been working with NATs for years and your comment helped me "click" and understand them at a different level.
I have a project that is designed to run 24/7 and it would be really nice if I could use a cloud server instead of a computer on my home network.
I have it all set up... OBS in Docker with k8s templates. Just need to find an affordable online option.
To laugh often and much;
to win the respect of the intelligent people
and the affection of children;
to earn the appreciation of honest critics
and endure the betrayal of false friends;
to appreciate beauty;
to find the best in others;
to leave the world a bit better
whether by a healthy child, a garden patch,
or a redeemed social condition;
to know that one life has breathed easier
because you lived here.
This is to have succeeded.> If you bombard earth with photons long enough, it will emit a Tesla
If you can manage to cobble together a single command (as illegible as that may be), you might be able to do what you're looking to do in far less time