I am currently a senior applied scientist in Amazon. Previous, I worked as a senior data scientist at Lyft focusing on applications of NLP and machine learning in community and road safety, support as well as applications of deep learning in spatio-temporal demand forecasting. Before Lyft, I was the co-founder and chief data scientist in Aida, a machine learning startup, where I helped with research and development of AI solutions for natural language understanding in customer support/intelligent segment. Our company was acquired by Vision Critical in late 2017.
Before working in industry, I was a PhD student in computational physics at University of British Columbia, where I worked on large scale distributed computing and numerical algorithms for gravitational physics research [+]. My main interest these days is machine learning particularly focused on natural language understanding and more recently I am learning about meta-learning and how/why LLMs showcasing few-shot learning capabilities. I am finishing the AI graduate program at Stanford. In my free time, I do landscape photography, DIY projects and traveling.