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nirinor

HN member
Joined
Fri, Apr 02, 2021, 2:04 AM UTC
HN karma
44
Public activity
17 items

About nirinor

SWE lead turned ML researcher turned consultant.

Can advise you on applying ML and optimization, or more directly help you apply/improve/train-up-in such tech, on a consulting/contracting basis.

Daniel Vainsencher

https://www.linkedin.com/in/danielvainsencher/

https://www.semanticscholar.org/author/D.-Vainsencher/2734587

https://nirinor.ai/book/services.html

danielv at nirinor.ai

Recent public activity

  1. comment
    Comment #49012210

    Answering myself: I've tried pi and oh-my-pi (omp.sh) in the last couple of days, and the latter feels solid and more effective than CC/opencode/pi. I have not reviewed the code, a…

  2. comment
    Comment #48979022

    I use CC at a client because that's their stack. I use (a particular version of) OpenCode for my own work, because it is so much better. Reading this post makes me sad. Because eve…

  3. comment
    Comment #45795277

    So, are computing gradients details of backpropagation that it is failing to abstract over, or are gradients the goal that backpropagation achieves? It isn't both, its just the lat…

  4. comment
    Comment #45791895

    Nah, Karpathy's title is "Yes you should understand backprop", and his first highlight is "The problem with Backpropagation is that it is a leaky abstraction." This is his choice a…

  5. comment
    Comment #45790653

    Its a nit pick, but backpropagation is getting a bad rep here. These examples are about gradients+gradient descent variants being a leaky abstraction for optimization [1]. Backprop…

  6. comment
    Comment #38674522

    I am not hiring, but might be able to help with some other parts. DM me if you want to talk.

  7. comment
    Comment #37346465

    I use python extensively. I've used bash (+awk+xargs+sed...) extensively. Nushell is already a great improvement over bash _as a shell_. It is even better when using it to compose …

  8. comment
    Comment #34520151

    Very nice formalization. One area for refinement: it considers two stacks either identical or unrelated. Consider that stack A;B is actually very close to A;B;C, the difference mig…

  9. comment
    Comment #34440677

    I've needed these capabilities often while using awk for converting messy logs/error outputs into tables/commands. Nowadays I like the nushell approach to the composition: echo 'qu…

  10. comment
    Comment #34233262

    Mislabeled? sounds like you're SEEKING WORK, SEEKING FREELANCER is for the other side.

  11. comment
    Comment #34228284

    SEEKING WORK | NYC area | Remote Hi, I am Daniel Vainsencher, ML PhD and practitioner. You want to use AI to solve a business or technical problem, have data and a team, but no sen…

  12. comment
    Comment #34226501

    I've joined the Tribe community a few months ago, done one project with them, so far very happy with my experience. - Pleasant, helpful, knowledgeable people on the slack. - Brief …

  13. comment
    Comment #32932839

    Some applications depend on approximately solving optimization problems that are hard even for small problems. The poster child here is combinatorial optimization (more or less equ…

  14. comment
    Comment #32426304

    We see so many examples of regulations having directionally wrong effects... That regulation is adversarial (largest regulated entities are savvy and often propose the regulations)…

  15. comment
    Comment #32311208

    SEEKING WORK | US East coast | Remote Hi, I am Daniel Vainsencher, ML PhD and practitioner. I can, on a consulting/contracting basis: 1. Convert your business problems into well de…

  16. comment
    Comment #32018808

    SEEKING WORK | US East coast | Remote Machine Learning/optimization expert, I can: 1. Design ML systems tailored to business needs, 2. Coach your engineer/research staff on ML/Opti…

  17. comment
    Comment #31117665

    Now this sounds like a proper fun problem! :)