haskell-pcap-sniffer VS curriculum-vitae

Strong sides: love to tinkering, researching and learning

My main experience comes from web dev, it is something I could do good now, but as you may see from my resume: I like to try new things and good at learning and trying new stuff as well. Currently I'd like to find a Haskell developer role, even though I don't have much of a production experience with it, you can assess my understanding of this language by looking at this small app: https://github.com/worldisaduck/haskell-pcap-sniffer Also if you have interesting project or product on Elixir(or pretty much any language) and see me fit, I'd love to work on you team.

Location: Canada

Remote: Only

Willing to relocate: No

Technologies: Various optimization tools (CPLEX, Gurobi, OR-Tools, etc), Python, C++, Bash, Linux, and others

Résumé/CV: https://github.com/PhilippeOlivier/curriculum-vitae/blob/mai...

Website: https://www.pedtsr.ca

Email: See CV

I have a PhD in computer engineering, specializing in operations research. I can translate all kinds of real-world problems into mathematical models that can be solved via integer programming, constraint programming, or other methods. I'm the father of four young children, so I'm looking for flexible/remote part-time work. I'm also open to contract work (see my comment in "Freelancer? Seeking freelancer?" thread for more details).

SEEKING WORK | Canada | Remote

I have a PhD in operations research---essentially, I solve optimization problems. You can give me a real-world problem and I can translate it into a mathematical model that can be solved (often optimally) via integer programming, constraint programming, or other methods.

I'm currently working on a column generation-based daily fantasy sports (DFS) solver as a personal project. Taking as input the predictions/requirements of the user, this solver can generate optimal lineups for multi-entry tourneys. It is, as far as I'm aware, the only DFS solver that can generate provably optimal sets of lineups for multi-entry DFS tourneys.

Résumé/CV: https://github.com/PhilippeOlivier/curriculum-vitae/blob/mai...

Contact me: https://www.pedtsr.ca/work.html

Location: Canada

Remote: Only

Willing to relocate: No

Technologies: Various solvers (CPLEX, Gurobi, Or-Tools, etc.), Python, C++, Bash, Linux, and others

Résumé/CV: https://github.com/PhilippeOlivier/curriculum-vitae/blob/mas...

Email: See CV

I have a PhD in optimization / operations research. I'm the father of four young children, so I'm looking for flexible/remote part-time work, and/or contract work. I can work between 20 and 30 hours a week (this varies depending on whether kids get sick, etc).

My specializations revolve around optimization and operations research. You can give me a real-world problem and I can translate it into a mathematical model that can be solved (often optimally) via integer programming, constraint programming, or various forms of metaheuristics. I could manage my way around new solvers and programming languages if the project required it.

I'm currently working on a daily fantasy sports (DFS) solver as a personal project. Taking as input the predictions/requirements of a user, this solver can generate optimal lineups for multi-entry tourneys. It is, as far as I am aware, the only DFS solver that can generate provably optimal sets of lineups for multi-entry DFS tourneys.