Aman Sharma

I grew up in Bangalore, India and I've seen how tech and capital can be hugely tranformative for individuals and societies. I love talking about AI, startups, politics, markets and consumer tech. Also TFT sets, and esports. Most of my life was planned and written out on Amazon notepads with blue lines spaced 1cm apart.

I spent my summer working on Squire (with Harish). Squire is our vision for AI Assistants at work. Squire began as a set of fine tuning experiments (and we tried out some distillation) to make a general purpose assistant that lived on my computer and took care of work that annoyed me (mostly routine admin). We were targeting small models that we could fine tune for specific tasks and then swap them for the task at hand. As I spoke to people, I realized that localized inferencing wasn't worth the limitations it posed. The excitement I had for it was largely downstream of technical excitement that localized inference was even possible.

We've since been focusing on building Squire to help you with all your admin. You text, call, or email Squire and it takes care of scheduling, mailing, drafting, researching, and coordinating - just like a person would. We want Squire to be the bridge between the present and the truly autonomous systems of the future. More here.

I've spent time on distillation experiments, fine tuning LLMs (how Squire started), evals for agents, and exploring the different libraries and protocols related to AI systems. I got into Computer Science in middle school while flashing custom Android distributions onto my S4 mini and competing in the First Lego League.

I also have some experience with business development and marketing, academic research (in economics and the social sciences), content-based SEO, large scale data analysis, consulting, and software engineering.