I build intranet content for companies looking to drive the adoption of generative AI among their employees in measured and thoughtful ways.

I have developed compelling keynotes and thought leadership pieces for world leaders and senior executives at large corporations.

I still need to use spellcheck for words like “Existence” and “Liaison.

Please get in touch with me at arunxkrishnan@gmail.com to discuss how we can use communications to fulfill your business objectives.

Intranets/Internal communications

I have helped develop intranets for firms like IBM and Amazon to shape employee culture. I have also helped drive the adoption of generative AI among employees in a thoughtful way. The short presentation below outlines my approach.

Please contact me at arunxkrishnan at gmail.com to discuss how we can collaborate to help your employees automate workflows and make critical decisions at scale with generative AI.

Thought leadership

I have written executive keynotes for world leaders like Prince Hassan of Jordan, and senior executives at IBM and Amazon. To give one example, I worked with leadership across artificial intelligence, engineering and business teams at Amazon to develop the keynote for Alexa Live 2022.


In addition to developing strategies for internal and external communications, I love writing about a number of areas from science to human development and world politics. Here are a few of my writing samples.

The evolution of Amazon’s inventory planning system

How Amazon’s scientists developed a first-of-its-kind multi-echelon system for inventory buying and placement. {Read the article at Amazon.science}

The science behind Amazon Prime

Amazon’s scientists have developed a variety of scientific models to help customers get the most out of their membership. {Read the article at Amazon.science}

AWS App Config: The Amazon service that helps you scale for large events like Prime Day.

Learn how your engineering teams can use AWS AppConfig for your version of Prime Day events, those periods when your applications have to cope with sizable surges in traffic. {Read the article at the AWS Management and Governance Blog)

3 questions with Özalp Özer: How to build trust in business relationships

Özer’s paper published in INFORMS’ Management Science 2021 explores the dynamics behind “cheap-talk” communications. {Read the article at Amazon.science}

Abdigani Diriye named among top young African economic leaders

The Amazon research manager was included on a list of individuals 40 and younger who are projected to play a leading role in Africa’s economic future. {Read the article at Amazon.science}

Aravind Srinivasan: Amazon Scholar focuses on combinatorial optimization, algorithms, and AI

Srinivasan’s work cuts across multiple sectors, including cloud computing, machine learning, resource allocation, online algorithms, sustainable energy, and epidemiology. {Read the article at Amazon.science}

The BOMA Project 2019 Annual Report

Read how the BOMA Project is empowering women to start new businesses and forge a path out of extreme poverty in the drylands of Africa. {Read at bomaproject.org}

Amazon scientist Dr. Nashlie Sephus focuses on ensuring accuracy in machine learning

Her work involves many stakeholders and challenges, but it’s an endeavor that is deeply meaningful to Sephus on both a professional and personal level. {Read more at Amazon.science}

How Marinus Analytics uses knowledge graphs powered by Amazon Neptune to combat human trafficking

Traffic Jam leverages machine learning technologies from Amazon Web Services to find patterns in ads posted by sexual traffickers on the internet every day. {Read more at Amazon.science}

How NASA uses AWS to protect life and infrastructure on earth

NASA is using unsupervised learning and anomaly detection to explore the extreme conditions associated with solar superstorms. {Read more at amazon.science}

Get hands on with a “significant and fundamental advance” in AI

AWS DeepComposer is now available for preview. Learn more about the science behind the musical keyboard designed to expand your machine learning skills. {Read more at Amazon.science}

3 ways reinforcement learning is changing the world around you

Sahika Genc, senior scientist with Amazon AI, writes about three important ways reinforcement learning is used in the real world, and explains how you can get hands on with reinforcement learning. {Read more at amazon.science}

StyleSnap will change the way you shop, forever

Announced at re: MARS 2019: Amazon’s StyleSnap is the latest innovation from Amazon Fashion. {Read more at the Amazon Blog: Day One}

How Alexa Learned French

Hint: sophisticated machine learning techniques, and a little help from her human friends. {Read more at the Amazon Blog: Day One}

Making search on Amazon easier

How Amazon’s Product Graph is helping customers find products more easily.{Read the article on the Amazon Blog: Day One}

Music in a Voice First World

How Alexa and Amazon Music help you find the music you want (even when you don’t know exactly what you want.) {Read the story on the Amazon Blog: Day One}

What the West Can Do If It’s Really Serious About Middle East Peace

To state the obvious, ISIS is not just Iraq’s problem. Or for that matter Syria’s problem. Or even just the Middle East’s problem. In a world where a palm civet in China’s Guangdong province can unleash a pandemic that killed people in America, and where a Tunisian fruit seller could bring down a powerful Egyptian dictator, the problems of any one country are more often than not, the problems of every country. {Read more at the Huffington Post}

What the Merriam Ibrahim Case Can Tell Us About the State of Islam

The death sentence for apostasy in Sudan shows the plurality that has sustained and nourished the Islamic world is eroding. {Read it at the Guardian}