Sushmita Warrier
Atlanta, Georgia, Canada
Summary
🤩
Rockstar🎓
Top SchoolSushmita Warrier is a computer vision and control systems engineer with six years of experience bridging machine learning research and electronics-driven product development. Currently pursuing an MS at Georgia Tech, she has applied ML for object detection, 3D pose estimation, and surgical tool tracking, and is completing a master's thesis on 4D reconstruction. Her industry work includes leading electronics development for consumer appliances and deploying vision solutions at Panasonic Automotive, while research roles involved C++/Qt implementations that fused kinematic models and segmentation to outperform marker-based tracking. An active contributor to GTSAM Python bindings, she improved triangulation, camera calibration support, and documentation to make a core robotics/vision library more usable. She brings a rare combination of hands-on embedded systems experience, rigorous academic research, and practical project leadership.
6 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Georgia Institute of TechnologyBachelor of Technology (B.Tech.), Electronics and Communication Engineering, CGPA 8.31, Bachelor of Technology (B.Tech.), Electronics and Communication Engineering, CGPA 8.31 at Charotar University Of Science and Technology
English, Hindi, Gujarati, Malayalam
Github Skills (10)
c-language10
cprogramming-language10
camera-calibration10
slam10
python10
triangulation10
computer-vision9
swig9
linear-algebra8
robotics7
Programming languages (4)
Github contributions (5)
borglab/gtsam
Nov 2020 - Dec 2020
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:27 reviews, 39 commits, 10 PRs in 27 days
Contributions summary:Sushmita primarily worked on wrapping and extending the GTSAM library for use in Python. Their contributions involved adding support for triangulating points, camera sets, and calibration models within the Python interface. They also made code and documentation improvements, specifically reducing error thresholds and fixing documentation issues. The user’s work focused on the integration and usability of the GTSAM library within the Python environment.
smoothingsparsec-plus-plushierarchicalpattern-recognition
swarrier246/borglab.github.io
Sep 2020 - Oct 2021
Georgia Tech Borglab website
Contributions:2 PRs, 52 pushes, 3 branches in 1 year 2 months
georgia-techgeorgia
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