mchisto
Re:An AI can simulate an economy millions of times to create fairer ta...
on Wednesday October 07, 2020 @01:19PM (#24710449)
An AI youtuber who explains papers has covered it: https://www.youtube.com/watch?v=F5aaXrIMWyU
Highly recommend.
Re:What's Next for Scala
on Saturday April 11, 2020 @08:23PM (#22845197)
Weird. I've never had IntelliJ give me sbt-related syntax errors incorrectly.
Re:What's Next for Scala
on Saturday April 11, 2020 @07:00PM (#22844848)
What's your problem with SBT? I've been using IntelliJ + SBT since I started with Scala and it has been working well for me.
Re:What's Next for Scala
on Saturday April 11, 2020 @06:53PM (#22844821)
On hiring: Python Paradox comes to mind (http://www.paulgraham.com/pypar.html).
I've never met sub-par FPer or Scala programmer specifically.
Using PHP or Javascript might give you a bigger top of the hiring funnel, but it doesn't mean you'll have easier time finding well-qualified applicant.
Re:Follow-up to “The dystopian world of software engineering interviews”
on Saturday February 22, 2020 @04:28PM (#22393450)
I have learned from an Amazon recruiter that it was a data-driven decision to focus on algorithms during interviews. Apparently, on average, it has worked the best for them than other ways of interviewing.
I think the state of despair is caused by companies copying practices from FAANGs without understanding the intricacies of why those practices are in place. To the point of asking a UX/UI dev to solve a DP problem.
Re:Ask HN: Who wants to be hired? (February 2020)
on Monday February 03, 2020 @02:16PM (#22227830)
Service-based and async architecture systems engineer.
7+ years in the industry / CS undergrad.
AI / reinforcement learning as a hobby (completed specialization on Coursera).
Location: Portland, OR (US Citizen)
Remote: Yes
Willing to relocate: Yes
Technologies:
-> Languages: Scala, Haskell, Rust (but I've used about 10 different languages over the years)
-> Async architecture toolbox: Kafka, RabbitMQ, SQS/SNS
-> Big Data: Spark, Hive, HBase
-> ML/RL: PyTorch
Résumé: https://drive.google.com/file/d/1a4yfl5cskQaR0adAkiKmLJpbSqp...
LinkedIn: https://www.linkedin.com/in/maxchistokletov/
Email: in my résumé
Re:Ask HN: Are books worth it?
on Saturday January 04, 2020 @02:33PM (#21956877)
> The last few books I read were mostly filled with fluff, anecdotes, stories, jokes, and trivialities. Even if I wanted to read books, I just don't know which ones I should start with, out of the 1000 "must-read" books in my reading list.
Lindy effect should help. (https://en.wikipedia.org/wiki/Lindy_Effect)
Start with classics. Or at least with books that have been out for a few years and are still talked about.
That's how I pick what to read.
Re:Ask HN: Who wants to be hired? (January 2020)
on Friday January 03, 2020 @12:00AM (#21943352)
I'm looking to continue working on scalable systems aimed at handing millions of users.
7+ years in the industry / CS undergrad.
Experience working at both startups and large enterprises.
AI / reinforcement learning as a hobby (completed specialization on Coursera).
Location: Portland, OR (US Citizen)
Remote: willing to try (3+ years of experience working with remote teammates)
Willing to relocate: would consider Seattle if the opportunity is an excellent fit.
Technologies:
-> Languages: Scala, Haskell, Rust (but I've used about 10 different languages over the years)
-> Async architecture toolbox: Kafka, RabbitMQ, SQS/SNS
-> Big Data stack: Spark, Hive, HBase
-> ML/RL: PyTorch
Résumé: https://drive.google.com/open?id=1YHWh4Fi6bur1mQg3U6FBUXIlb_-8H7-8
LinkedIn: https://www.linkedin.com/in/maxchistokletov/
Email: I'll share it if you ping me on LinkedIn. Or you can find it in my résumé.
Re:Ask HN: Who wants to be hired? (December 2019)
on Monday December 02, 2019 @06:37PM (#21688319)
I build scalable service-based systems capable of handing millions of users (most recently at Nike).
7+ years in the industry / CS undergrad.
Experience working at both startups and large enterprises.
AI / reinforcement learning as a hobby (completed specialization on Coursera).
Location: Portland, OR (US Citizen)
Remote: willing to try (3+ years experience working with distributed teams)
Willing to relocate: open to ideas, but won't move to SF Bay Area or LA.
Technologies:
-> Preferred languages: Scala, Haskell, Rust
-> Async architecture toolbox: Kafka, RabbitMQ, SQS/SNS
-> Big Data stack: Spark, Hive, HBase
-> RL: PyTorch
LinkedIn: https://www.linkedin.com/in/maxchistokletov/
Email: Just reach out to me through LinkedIn. I will be happy to share my email if necessary. Or reply here.