Hey there, I am Aditya.
I am a Software Engineer residing in Seattle, Washington. I spend my day time developing distributed Big Data applications at Amazon Inc. and evenings tinkering with my personal ML / Web projects.
I use product strategy and systems thinking to develop scalable, reliable, resilient, frugal and efficient applications that delights customers. I am interested in all things technology, software engineering and product and read and write about these topics. Say hi to me on Twitter or Linkedin!
Work: I currently work at the World Wide Operations Finance org at Amazon as a Software Development Engineer. I have previously worked as a Software Engineer at Walmart Labs, Samsung Research and Myntra.
Personal: When I am not coding or designing applications, I spend my time either on Twitter reading about latest startups or watching crime shows / anime on Netflix. I was born and brought up in Delhi, India and like most Delhiites, I am a big foodie. Went to Delhi Technological University for my Bachelor’s degree. Recently graduated from Arizona State University with a Master’s in Computer Science degree (Go devils!). Always ready to pet a dog 🙂
Thank you for visiting my website, I am happy to see you here.
Do you hate writing? Me too. I am not talking about tweets or IG posts. I’m talking about 500 word long articles and essays. Most of us don’t like writing them. They take too much time and effort. But is time really the problem? I don’t think so. We spend a lot of time onContinue reading “Why Everyone Should Learn To Write”
Everyone in the tech industry knows that every few years (months?) a new technology or framework enters the market. Angular, Ember and JQuery were good enough until React came up. Not that people don’t use Angular anymore, but everyone wants to learn React now. Same is true for every other computer science field: Deep LearningContinue reading “Who should you be: Technology Generalist or Specialist?”
In this post, I’ll perform a small comparative study between the background architecture of TensorFlow: A System for Large-Scale Machine Learning and PyTorch: An Imperative Style, High-Performance Deep Learning Library The information mentioned below is extracted for these two papers.