Biography

Hello there! My name is Sharan, and I’m a forward-thinking Machine Learning Engineer (MLE) that’s passionate about pushing the boundary of possibilities through cutting-edge AI. My expertise spans broadly across the field - from Natural Language Processing (NLP) and Large Language Models (LLMs) to Graph Learning (GL) and Graph Neural Networks (GNNs).

At Stripe, I work on maintaining the intricate balance between fraud losses and user experience as an MLE on the Fraud Discovery team. I led a team of engineers, data scientists, fraud strategists, and ops specialists to propose and build Project Scorpion - Stripe’s first time-series transformer model for fraud detection that saves $8M / year in fraud losses.

I graduated from Stanford University with a Master of Science in Computer Science (AI concentration) and from Purdue University with a Bachelor of Science in Computer Engineering. A background in both software and hardware empowers me with a holistic approach to problem-solving that spans across both domains.

Beyond my technical acumen, I am committed to staying abreast of the latest developments in AI by actively engaging with the research community, attending conferences, contributing to open-source projects, and collaborating with peers to stay ahead of the curve. As an accredited angel investor, I specialize in supporting and growing innovative AI startups, harnessing cutting-edge technology to shape the future.

In my free time, I like to surf gnarly waves at Pacifica Beach, hike at breathtakingly beautiful National Parks, push myself to new limits weight lifting at the gym, experiment with delicious new recipes in the kitchen, and immerse myself in a wide array of books - from science fiction and fantasy to business and philosophy.

Here are my Resume and Curriculum Vitae (updated Jul 2024).