I am an Engineering Manager at Facebook Reels Recommendations. My teams work on fundamental problems in blending short and long-form content to drive engagement and revenue through relevance improvements. We have recently been leveraging multi-modal LLMs to drive lean-forward consumption behaviors such as search.
I have held various roles as a software engineer, ML engineer, data scientist and manager in my career. Previously, I led engineering for machine learning products in Salesforce Einstein and the Customer Intelligence data science team. I led data science projects for customers in multiple industry verticals at Pivotal, alongside building and expanding in-database machine learning algorithms in Apache MADlib. I was a lead engineer in an R&D incubation team building NLP powered Android applications in XPERIA smartphones at Sony Mobile and ML products at Sony PlayStation. I started my career in the SF Bay Area as a software engineer building the reporting and dashboarding capability in the Analytics team at Salesforce. I was a summer research intern at IBM Almaden Research and long before all of this, I was building machine learning and data exploration algorithms for computational drug discovery at Strandgenomics.
I graduated with a Masters in Computer Sciences from UT Austin where my thesis and research focussed on graphical models for weakly supervised sequence prediction problems in NLP. I love hiking, running, mountaineering and contributing to open source tools while tinkering with Python :-).
If you are interested in knowing more, you can check out my previous work and talks on this blog, or listen to a podcast I did with HackerEarth about machine learning and lifelong learning.