San Francisco Bay Area
Hi! I'm building Perfectly, the first autonomous AI recruiter for high growth tech startups. We're trusted by Corgi, LlamaIndex, Mintlify and dozens others to run their recruiting process entirely with our agents, so their recruiters can focus on building relationships and closing candidates. The biggest issue with current AI recruiting tools is that they're misaligned with the unique recruiting process at each company. We custom fit our suite of solutions to automatically source, coordinate, and engage with candidates, while keeping recruiters in the loop. After doing 800 agency sourced interviews at TikTok, my cofounders and I realized we could apply the same algorithm expertise to recommend the ideal person for the job. My dream is to help companies and people unlock 1000x growth.
Perfectly is the first recruiting OS that super charges your recruiting team with autonomous AI recruiters. Our recommender system (we're ex-TikTok/Meta) finds candidates 2 times more likely to pass interviews. Book a demo at perfectly.so
Early hire for the team responsible for the recommendation system behind all TikTok livestreams in the US. Grueling hours but incredible learning.
Studying explainability in autonomous vehicles in Dr. Lu Feng's research lab at UVA's Link Lab • Contributed to development of explainability model using out-of-distribution detection to identify primary contributing factors in traffic accidents. Studying fairness in explainable recommendations in Dr. Hongning Wang’s lab. • Developed a deep-learning fairness framework to guarantee fairness in explainable recommendations • Employed PETER transformer architecture and Pytorch to implement multi-task training to run text generation experiments