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luisfoliv

Re:Ask HN: Who wants to be hired? (August 2024) on Tuesday August 06, 2024 @06:58PM (#41176369)
Location: Florianopolis, Brazil

Remote: preferred, but open to hybrid positions

Willing to relocate: maybe

Technologies: Java, Scala, C++, Python, JavaScript, TypeScript, React, MySQL, PostgreSQL, Apache Spark, and others listed on my CV.

CV: https://docs.google.com/document/d/15lCC_DzHcZuLdU-p6uub_tuB...

LinkedIn: https://linkedin.com/in/luismo

Email: luismilanooliveira at gmail dot com

About me: 7 years of experience, with some solid experience on startups and on creating new and innovative products. I'm looking for positions on any part of the stack but most of my work history has been as a back-end engineer. I've been a major contributor to some very complex and high-performant systems, and I've always been able to push them to a higher level of quality and performance.

Re:Interesting data structures: the BK-tree on Tuesday April 04, 2017 @09:54AM (#14032590)
As mentioned in one reply to the parent comment, hashing here usually is not cryptographic.

I'm familiar with location-sensitive hashing[1], which acts like a dimensionality reducer but, instead of receiving as input the image itself receives a feature vector extracted from it (or something analogous that allows for similarity assessment).

[1] https://en.wikipedia.org/wiki/Locality-sensitive_hashing

Re:Why Spotify’s Discover Weekly is getting really boring? on Tuesday October 25, 2016 @08:40AM (#12787366)
Same thing here. One of the highest points of my regular mondays.
Re:Ask HN: Best way to start and master Hadoop? on Tuesday August 30, 2016 @01:04PM (#12391846)
Do you want to learn how to use a tool or how to solve some specific kind of problem?

If resources are what you were expecting, Coursera used to have a course named "Mining massive datasets" that covers some of the topics I saw you mentioning in your comments (MapReduce, HDFS, PageRank etc). It was ministered by Jure Leskovec, Anand Rajaraman and Jeffrey D. Ullman.

Although the course itself is not available anymore, the video lectures are still on Youtube, and a quick search returned me the following playlist: https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62...

If you want some reading material by the same people, you should also check this book: http://infolab.stanford.edu/~ullman/mmds/book.pdf

Re:Haskell Data Analysis and Machine Learning Cookbook on Friday July 29, 2016 @03:48PM (#12189446)
This SO thread is very informative in this regard: http://stackoverflow.com/questions/23727768/which-parts-of-r...