Ask HN: Who wants to be hired? (September 2022)

  Location: Poznań, Poland
  Remote: Ok
  Willing to relocate: Yes
  Technologies: Nest.js, Spring, Angular, some React
  Résumé/CV: on request
  Email: just add Gmail to my username

Java developer converted recently to a Node.JS developer. Few years of past experience as a frontend (although I try to keep my saw sharp). Over 10 years of experience total. I'm interested in a full-stack position. Looking for interesting opportunities.

  Location:            Poland
  Remote:              Yes (EST/PST timezones OK)
  Willing to relocate: No but occasional travel OK

  Technologies:
    * Python [Advanced], Django [Advanced], Django Rest Framework [Advanced], GraphQL
    * AngularJS, ReactJS + Redux
    * Airflow, Kafka, ELK, TensorFlow, NLP/NLTK
    * AWS, Google Cloud, Azure, Terraform, CloudFormation, Docker, Kubernetes

  Résumé/CV:           https://michallech.info/static/Michal-Lech-Resume.pdf
  Email:               michal [AT] michallech.info
  Website:             https://michallech.info

I am a Full Stack Developer and Software Architect with 12 years of commercial experience (esp. FinTech, Healthcare) in prototyping, MVP, backend and frontend development as well as maintenance and DevOps. Great communication skills, Startup experience, team leadership, passionate about programming, self starter, OK with freelance/consulting as well as full time work.

    Location: Atlanta
    Remote: Yes, or in person in Atlanta
    Willing to relocate: no
    Technologies: Julia, LaTeX, Nix and NixOS, many command line tools
    Résumé: https://www.bencide.com/resume.pdf
    Email: jobs@bencide.com
    

I have recently completed my PhD in mathematics at Georgia Institute of Technology. My mathematical experience revolves around mathematical modeling. I've done novel work in mathematical immunology where I needed to quickly go from novice to expert on the topic of the germinal center reaction and B-cell affinity maturation. I frequently use differential equations as necessary for the problem at hand. I've used linear programming, PDE accelerated gradient descent, and global optimization by intermittent diffusion (an SDE technique related to, but applied in different scenarios than, simulated annealing).

I am comfortable using differential equations in all forms (ODE, PDE, SDE, DDE, etc.) and multiple kinds of optimization to numerically study your problem domain.

Beyond what I've specifically worked on, I'm less experienced in but have interest in applied category theory, ML/AI, and quantum error correcting codes (Julia package in progress at https://www.github.com/esabo/CodingTheory ). I use the Julia language regularly, but am happy to learn any other language (I also have passing experience in C and lisp). I'm more interested in transitioning to industry for the broad range of immediately useful things I could do, so please don't think that I'm limited to a particular problem domain! I'd love to hear from you in any problem domain where my skills could be useful!