Engineering Culture Don't Leave Tech Just Yet Disclaimer: The thoughts below are mine and not of my present or past employers'. I have not been compensated or asked to write this article. I am just crossing the 10 years mark
Travel Stories Countries Visited India, US, UAE, Australia, Singapore, New Zealand, Japan, Costa Rica Australia, Costa Rica, India, Japan, US. Not Pictured - New Zealand, Singapore, UAE and Canada
Devops Data Science in Production There is a lot that goes behind developing a model such as data cleaning, analysis, statistics, modeling, accuracy analysis etc. Even with all that, developing a model is just the tip of the
Machine Learning Serving Athletes* with Personalized Workout Recommendations My post on Workout Recommender system is now up on the Nike Engineering blog - https://medium.com/nikeengineering/serving-athletes-with-personalized-workout-recommendations-285491eabc3d The post provides insight into the Science and Engineering behind the machine learning
Apache Spark Tuning Spark Jobs on EMR with YARN - Lessons Learnt Apache Spark is a distributed processing system that can process data at a very large scale. Even though Spark's memory model is optimized to handle large amount of data, it is no magic
Engineering Culture Is She Even a Developer? It has been 6 years since I overheard this question/comment about me. My co-workers were reviewing my pull request. One of them got frustrated and thought that it was appropriate to discuss
AWS Cross-Account S3 bucket settings for data transfer on Hadoop based systems While trying to write some data from one AWS account to another, I ran into several cross-account S3 settings issues. Google was coming out thin on my searches, hence documenting it in case
Machine Learning Strata + Hadoop 2016 Conference in NY This past September, Nike approved my request to attend the Strata + Hadoop Conference in New York. Strata is one of the biggest conferences for Engineers who are interested in Machine Learning and Big
AWS Migrating to EMR 5.0.X for Spark 2.0 AWS released EMR 5.0 recently. It is a major release and contains upgrades such as Apache Spark 2.0, Apache Hive 2.1, Presto 0.150, Apache Zeppelin 0.6.1 etc