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.
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).
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.
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.