AI and Developer Ecosystem
There is a lot of buzz in the industry about the developer role and how AI will influence it. This article covers some questions with the help of an industry leader in this space
Latest
Providing Context to Large Language Models using VectorDB
Using VectorDB to increase effectiveness of Large Language Models (LLMs) in enterprise use cases
Engineering Management is not Easy
I have discussed the path to engineering management with a few people in the
last few months. Most of these conversations were productive, but some of the
statements had me wondering about the misconception folks have about engineering
managers. Here is a sample of some puzzling statements that came up
Traits of Highly Successful Teams
I have worked for 10 people startups, to mid-size hyper growth companies, to a
Fortune 500 company. In each of those opportunities, I was surrounded by smart
people. Yet some teams were highly successful while the others struggled with
their goals. Reflecting back on those times, I was analyzing why
Effective Sprint Planning - Five Things to Consider
Anyone who knows me, knows my general dislike about scrum methodologies. But
Scrum is everywhere and some are even following it as a religion. Well, if we
are continuing this cultish ideology, let me help a bit. Here are the things
that I think teams should consider right before committing
Apple ID - Lost Email Account and Forgotten Security Answers
I recently upgraded my macbook to Mojave. While browsing some settings in my
system preferences, I noticed that my icloud account was linked to my old Apple
ID which was linked to my ancient Yahoo account (yes, don't judge). I tried to
sign out of that account and
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 of my career in the software industry. With that milestone, I have been thinking to write
Countries Visited
India, US, UAE, Australia, Singapore, New Zealand, Japan,
Costa Rica, Taiwan, Dominican Republic, Mexico, Ireland
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 iceberg when it comes to delivering a
machine learning solution in production. I spoke at OSCON 2018
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 system that powers the personalized recommendations in Nike Training
Club app. Check it out and share your
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 and there are several settings that can give you
most out of your cluster. I
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 the authenticity of my Computer Science background. I overheard his comment and also the laughter of the
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 somebody else runs into this.
Problem
Account 1 (let's call it Dumbledore) has a S3
Strata + Hadoop 2016 Conference in NY
This past September, Nike approved my request to attend the Strata + Hadoop
Conference [http://conferences.oreilly.com/strata/hadoop-big-data-ny] in New
York. Strata is one of the biggest conferences for Engineers who are interested
in Machine Learning and Big Data. The three day long conference covered various
workshops and sessions