Aarti Ghatkesar
About Aarti Ghatkesar
Aarti Ghatkesar is an Applied Machine Learning Engineer at Cerebras Systems, where she develops algorithms and implements research in deep learning. She has previously held positions at Seagate Technology, Atollogy, Inc., and The MathWorks, and has a strong academic background in Electrical Engineering and Signal Processing.
Work at Cerebras Systems
Aarti Ghatkesar currently serves as an Applied Machine Learning Engineer at Cerebras Systems, a position she has held since 2020. In this role, she develops algorithms and implements research papers focused on deep learning. Her work contributes to advancing the capabilities of Cerebras Systems in the field of artificial intelligence and machine learning.
Education and Expertise
Aarti Ghatkesar holds a Master of Science (M.S.) in Electrical Engineering from Purdue University, where she studied from 2016 to 2018. She also earned a Master of Technology (M.Tech.) in Signal Processing, Communication and Networks from the Indian Institute of Technology, Kanpur, from 2012 to 2014. Additionally, she completed her Bachelor of Engineering (B.E.) in Electronics and Communication Engineering at Vasavi College of Engineering from 2008 to 2012. Aarti is proficient in programming languages such as Python, MATLAB, C, C++, and PyTorch.
Background
Aarti Ghatkesar has a diverse professional background in machine learning and engineering. She began her career as a Graduate Teaching Assistant at the Indian Institute of Technology, Kanpur, from 2012 to 2014. She then worked at The MathWorks in various roles, including Software Engineer in Test and Application Support Engineer, from 2014 to 2016. Aarti also served as a Computer Vision and Deep Learning Engineer at Atollogy, Inc. from 2018 to 2020.
Previous Work Experience
Before joining Cerebras Systems, Aarti Ghatkesar gained valuable experience as a Computer Vision and Deep Learning Engineer at Atollogy, Inc. from 2018 to 2020. She also completed a summer internship in image processing at Seagate Technology in 2017. Her early career included roles at The MathWorks, where she contributed to software development for the Simulink Design Verifier toolbox and provided application support.
Technical Skills
Aarti Ghatkesar has developed a strong technical skill set throughout her career. She has experience in training and deploying deep learning models to production and implements tools to facilitate data annotation for deep learning models. Her programming expertise includes proficiency in Python, MATLAB, C, C++, and PyTorch, which she utilizes in her current role at Cerebras Systems.