Location: Alberta, Canada
Remote: Yes (open to in-person also)
Willing to relocate: Yes (for US companies, I'm a licensed P.Eng so I should be eligible for a TN visa under USMCA/NAFTA - I understand there's much less overhead with that compared to others)
Technologies: Python, PyTorch, Pyro, CVXPY, FastAPI, SQL, Redis, Elasticsearch, Docker, Kubernetes, C#, C++, Rocq, Haskell + lots of data science & backend exposure.
Resume: https://mbrigdan.github.io/mbrigdan/resume.pdf
Email: [email protected]
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Hi folks, I'm Matt. About 7 years of experience working at the interface between data science and backend development. My most recent work has been around optimization of grid-scale energy storage systems - I was the technical lead for the team's first go-live in the ERCOT power market. A lot of experience taking something functional but bespoke (think e.g. a Jupyter notebook from a DS researcher) and applying rigorous software engineering principles to make it modular/scalable/maintainable, and dealing with the problems that result from applying machine learning in the real world (e.g. robustness to forecast error).
Primarily experienced in Python but I've learned a lot of languages at this point and don't mind learning new tools that fit that job.
Not afraid to get my hands dirty deep in the guts of algorithms/statistics/mathematics, my background is in electrical engineering with some signal processing experience. I've got years of math skills crying out to be used!
I'm looking for a role that lets me sink my teeth into challenging problems - some kind of math/statistical analysis/optimization/algorithmic bent would be ideal, I get a great kick out of testing out cutting edge new libraries, implementing an algorithm from a new research paper, that kind of thing.
Would love to connect, even if just for networking.
Remote: Yes (open to in-person also)
Willing to relocate: Yes (for US companies, I'm a licensed P.Eng so I should be eligible for a TN visa under USMCA/NAFTA - I understand there's much less overhead with that compared to others)
Technologies: Python, PyTorch, Pyro, CVXPY, FastAPI, SQL, Redis, Elasticsearch, Docker, Kubernetes, C#, C++, Rocq, Haskell + lots of data science & backend exposure.
Resume: https://mbrigdan.github.io/mbrigdan/resume.pdf
Email: [email protected]
--
Hi folks, I'm Matt. About 7 years of experience working at the interface between data science and backend development. My most recent work has been around optimization of grid-scale energy storage systems - I was the technical lead for the team's first go-live in the ERCOT power market. A lot of experience taking something functional but bespoke (think e.g. a Jupyter notebook from a DS researcher) and applying rigorous software engineering principles to make it modular/scalable/maintainable, and dealing with the problems that result from applying machine learning in the real world (e.g. robustness to forecast error).
Primarily experienced in Python but I've learned a lot of languages at this point and don't mind learning new tools that fit that job.
Not afraid to get my hands dirty deep in the guts of algorithms/statistics/mathematics, my background is in electrical engineering with some signal processing experience. I've got years of math skills crying out to be used!
I'm looking for a role that lets me sink my teeth into challenging problems - some kind of math/statistical analysis/optimization/algorithmic bent would be ideal, I get a great kick out of testing out cutting edge new libraries, implementing an algorithm from a new research paper, that kind of thing.
Would love to connect, even if just for networking.