Aarti Ghatkesar
Applied Machine Learning Engineer at Cerebras Systems
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolAarti Ghatkesar is an Applied Machine Learning Engineer with eight years of experience building and productionizing computer vision and deep learning systems, currently at Cerebras Systems in San Jose. She combines a strong research background—M.S. in Electrical Engineering from Purdue and an M.Tech from IIT Kanpur—with hands-on engineering experience developing object detection/classification pipelines, active learning workflows, and annotation tooling. Her career spans product-focused roles at startups and enterprise engineering at MathWorks, where she built automated test suites and debugging tools for Simulink Design Verifier. Notably, she translated academic research into deployable models during a Seagate HAMR internship and contributes to open-source deep learning repositories. Proficient in Python, MATLAB, C/C++, and PyTorch, she brings both low-level signal/point-cloud processing expertise and end-to-end ML deployment know-how.
9 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology KanpurMaster of Science (M.S.), Electrical Engineering, 3.65/4.0, Master of Science (M.S.), Electrical Engineering, 3.65/4.0 at Purdue UniversityBachelor of Engineering (B.E.), Electronics and Communication Engineering, 8.4/10, Bachelor of Engineering (B.E.), Electronics and Communication Engineering, 8.4/10 at Vasavi College Of Engineering
English, Hindi, Telugu
Github Skills (23)
camera-calibration10
ransac10
outliers10
image-stitching10
panorama10
extrinsic-parameters10
mosaic10
homography10
backpropagation-through-time10
levenberg-marquardt10
optimization10
image-processing9
generative-adversarial-network9
style-transfer9
convolutional-neural-networks9
Programming languages (3)
Github contributions (5)
aartighatkesar/Deep-Learning-Fundamentals
Mar 2019 - May 2020
Implementation of various basic layers forward and back propagation. CS 231n Stanford Spring 2018: Convolutional Neural Networks for Visual Recognition. Solutions to Assignments
Contributions:57 commits, 14 PRs, 13 pushes in 1 year 1 month
backpropagationconvolutional-neural-networksvisual-recognitionbackpropagation-through-timegenerative-adversarial-network
aartighatkesar/Image-Mosaicing
Aug 2019 - Jul 2022
Image Mosaicing or Panorama Creation
Contributions:42 commits, 16 PRs, 39 pushes in 2 years 11 months
levenberg-marquardthomographyece-661optimizationpanorama
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.