Hey there, welcome to my personal blog nerd space!

Everyday, a single person interacts with hundreds of ML models, directly or indirectly. Netflix recommendations, Google Translate, and even the app scheduler on Android phones are complex data-driven systems that relies on machine learning for scaling narrow artificial intelligence. Just as software has enabled value-creation and scaling beyond traditional business models, machine learning opens the door to new unseen use-cases and separates the sophistication of intelligent systems from the number of lines of code to the extent and quality of data.

My specialisation is exactly in building these machine learning systems. Not only just in prototyping, building, and deploying the embedded mathematical models; but also in developing infrastructure and automation that generates and extends these models in modern data-driven applications.