I am a Machine Learning PhD student at Georgia Tech advised by Zsolt Kira and
I am interested in embodied AI and reinforcement learning.
I am currently interning at Apple working with Alexander Toshev.
From Summer 2022 to Winter of 2022, I interned at Meta AI working with Akshara Rai and Ruta Desai.
From Summer to Winter of 2021 I interned at Meta AI working with
I completed my undergrad in Computer Science at
the University of Southern California with a minor in Mathematics, where I worked with
Joseph Lim. My email is "andrewszot 1 @ gmail com" (no spaces).
Large Language Models as Generalizable Policies for Embodied Tasks Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott Katherine Metcalf, Natalie Mackraz, Devon Hjelm, Alexander Toshev
Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots
Xavier Puig*, Eric Undersander*, Andrew Szot*, Mikael Dallaire Cote*, Tsung-Yen Yang*, Ruslan Partsey*, Ruta Desai*, Alexander William Clegg, Michal Hlavac, So Yeon Min, Vladimír Vondruš, Theophile Gervet, Vincent-Pierre Berges, John M. Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrishnan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Akshara Rai, Roozbeh Mottaghi (* - equal contribution)
Habitat 2.0: Training Home Assistants to Rearrange their Habitat Andrew Szot, Alex Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John Turner, Noah Maestre, Mustafa Mukadam, Devendra Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra
Deployed a model to production that predicted and took automated action against account takeover fraud using Scikit-learn, XGBoost, Hive and Presto, resulting in a 50% reduction in account takeover fraud.
Delivered a data analytics platform using Scala, Spark, Hadoop and Druid to process petabytes of eBay metrics.