Manoja H A
Technical Development Lead at Edge Case Research- Claim this Profile
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English Full professional proficiency
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German Limited working proficiency
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Kannada Native or bilingual proficiency
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Experience
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Edge Case Research
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United States
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Information Technology & Services
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1 - 100 Employee
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Technical Development Lead
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Jun 2023 - Present
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ML Software Engineer II
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Jan 2023 - Jun 2023
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ML Software Engineer
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Jun 2020 - Dec 2022
Edge Case Research’s mission is to ensure that everyone stepping into a self-driving car gets a safe ride and that every autonomous vehicle traveling through our neighborhoods is built safely from the ground up.
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TerraLoupe
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Germany
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IT Services and IT Consulting
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1 - 100 Employee
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Machine Learning Engineer
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May 2020 - Jun 2020
- Led a team to successfully develop and deliver MLOps solution for deep learning models- Played a role in the technology transfer as TerraLoupe GmbH exited via an asset deal with Edge Case Research Inc
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Master Thesis Student
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Sep 2019 - Apr 2020
Domain: Deep Learning - Information Retrieval - Active LearningTopic: Large-Scale Similar Aerial Image Retrieval SystemThe primary goal of this project was to enhance the performance of deep-learning models by implementing an active learning framework for reducing data requirements and eliminating noise from labels, resulting in more efficient models.- Expertise in designing and implementing feature selection and extraction algorithms for large-scale aerial image retrieval systems based on semantic segmentation models.- Developed a query selection algorithm that leverages model uncertainty to achieve image retrieval similar to the edge case scenario.- Designed and implemented a noisy label detection algorithm, incorporating active learning framework based on image similarity search.- The active learning framework resulted in a significant improvement in the performance of the segmentation models compared to the regular training workflow. Show less
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Machine Learning Engineer - Intern
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Mar 2019 - Aug 2019
- Utilized state-of-the-art neural network architectures for aerial imagery road and lane semantic segmentation in autonomous driving applications.- Designed and developed automated algorithms for creating high-definition road maps on aerial imagery.
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Education
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Technische Universität Chemnitz
Master of Science - MS, Embedded Systems -
Nitte Meenakshi Institute of Technology
Bachelor of Engineering - BE, Electronics and Communications Engineering