I am a Machine Learning Engineer, working at Safran Aerospace, one of the coolest aerospace companies in the world. After finishing my Bachelor's in Computer Science and Engineering, I briefly worked at Amazon in a Data Engineering team, and have since spent my life in the tech industry getting introduced to extremely interesting & impressive tech, projects and people.

This website aims to document part of this journey.

Apart from artificial intelligence I'm also interested in tech ethics, behavioural economics, anime, and a bunch of cool things coming up in the world like genetic engineering, software development, and the impact they have on our behaviour, psyche and security.

Other things I like doing are reading, swimming, baking my cake and eating it too.

My interview with Safran which covers the capabilities and possibilities of AI in aerospace.

A comprehensive list which details pitfalls you can fall into while introducing AI (or any new technology) in your organization and how to avoid them.

--- in progress! ---

My time in Amazon India was spent in one of their Data Engineering teams in the Kindle org, we gained a lot of insight into the kind of content people consumed, dynamic pricing and discounts in different marketplaces and handled migration of databases.

I also developed a Database Management tool to help the data engineers replicate queries across various data clusters.

Implemented various pre-processing algorithms to increase efficiency of the image recognition algorithm of Tesseract and passed it through post-processing algorithms to check for errors before feeding it to a TTS engine.

One of the best AI experiences I've had, I was a part of McCarthy lab which had a lot of other AI fans. We explored making an open domain generative chatbot.

A model that predicts which career path you should take up based on your personality and behavioural traits.