Proneet Sharma
Associate Researcher
Bremen, Bremen, Germany
Summary
👤
Senior🎓
Top SchoolProneet Sharma is an associate researcher in computer vision and autonomous systems based in Bremen, bringing eight years of robotics and vision experience and over a year in professional research roles at DFKI. He specializes in 6D pose estimation and object detection, developing a synthetic 6D pose dataset and benchmarking few-shot methods for his master's thesis. His background spans autonomous navigation and ROS integrations on heavy robotic platforms, vehicle simulation for localization, and hands-on robotics work from KUKA to academic labs. An active open-source contributor, he has improved robustness and test coverage in a hierarchical perception library used for pose, detection and segmentation tasks, reflecting a focus on maintainable, production-ready code. Pragmatic and research-driven, he combines system-level robotics know-how with careful software engineering to close the gap between experimental models and deployable perception systems.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Autonomous Systems, Master's degree, Autonomous Systems at Bonn-Rhein-Sieg University of Applied SciencesBachelor's degree, Bachelor's degree at AJAY KUMAR GARG ENGINEERING COLLEGE, GHAZIABAD
English, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
unit-testing10
python10
refactor9
refactoring9
type-checking8
typehinting8
Programming languages (5)
Github contributions (5)
oarriaga/paz
Jun 2021 - Sep 2022
Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:18 reviews, 264 commits, 38 PRs in 1 year 3 months
Contributions summary:Proneet primarily focused on improving the code's robustness and maintainability. Their commits involved addressing type errors and implementing unit tests to validate parameter types within the codebase. This suggests a focus on writing and maintaining clean, error-resistant code for the project's functionality. The user also contributed to refactoring existing components, further indicating a focus on code quality.
emotion-recognitionpythonsemantic-segmentationface-recognitionhierarchical
proneetsharma/paz
Jun 2021 - Sep 2022
Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.
Contributions:75 pushes, 4 branches in 1 year 2 months
pythonface-recognitionhierarchicalobject-pose-estimationobject-detection
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