๐ Dynamic and results-oriented IT professional with 2+ years of experience specializing in C++ development, image, and video labeling. My work has helped decrease errors by 15% and involves developing robust machine learning models using 2D/3D boxes for 3,000+ project frames. Passionate about video, audio, and networking technologies ๐ฅ๐ถ๐. Committed to continuous learning and knowledge sharing ๐, fostering personal and professional growth while delivering cutting-edge solutions in a fast-paced, team-oriented environment ๐๐ค.๐ My data annotation expertise includes executing over 1,500 polyline annotations, 2,000 polygon annotations, 5,000 2D labels, and 1,200 3D labels. I've also annotated 800 Lidar datasets and labeled 500 scenes. By curating and organizing 10 large datasets, I've maintained high data quality and consistency ๐. These efforts have significantly enhanced machine learning model accuracy by 25% and reduced processing time by 20% โฑ๏ธ, resulting in reliable and robust AI solutions. Thriving in a collaborative team environment, I contribute to both backend and frontend development processes and remain passionate about video, audio, and networking technologies ๐ฌ๐. My drive to innovate and collaborate ensures that I bring valuable insights and expertise to every project I undertake ๐ก.
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Process ExecutiveNvidia Dec 2017 - Jan 2019Pune Area, India1. Specialized in Data Annotation: Completed over 10,000 annotations with a 98% accuracy rate, ensuring high-quality labeling for various machine learning projects.2. Collaborative Enhancement: Worked with a team of 15 image annotation experts, improving annotation accuracy by 20% through streamlined processes.3. Polyline Annotation: Successfully annotated 1,500+ images using polylines for complex object shapes, contributing to a 15% improvement in model training accuracy.4. Polygon Annotation: Applied polygon annotation techniques to label 2,000+ objects with irregular shapes, ensuring precise boundaries and improving detection rates by 12%.5. 2D and 3D Labeling: Created detailed 2D labels for over 5,000 images and 3D labels for 1,200+ objects, increasing model accuracy by 18%.6. Bounding Box Creation: Developed 2D and 3D bounding boxes for 3,000+ objects, aiding in the creation of robust machine-learning models with a 20% increase in detection accuracy.7. Lidar Data Annotation: Utilized Lidar Linker to annotate 800+ Lidar datasets and performed Lidar marking for 600+ datasets, enhancing spatial data annotation accuracy.8. Video and Text Labeling: Gained an overview of video labeling processes and the nuances of temporal data annotation; familiar with text labeling techniques, contributing to natural language processing projects.
Kajal Patil Education Details
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Computer Engineering -
J.T.Mahajan College Of PolytechnicA -
Madhyamik Kanya Shala,YawalA
Frequently Asked Questions about Kajal Patil
What is Kajal Patil's role at the current company?
Kajal Patil's current role is Java Developer| C++| Android development | MySQL| MongoDB| UML 2.0| Android Studi| Ex. Process executive at Nvidia| Android Studio| Data science and ML Aspirant|.
What schools did Kajal Patil attend?
Kajal Patil attended Ssbt's College Of Engineering & Technology, Bambhori., J.t.mahajan College Of Polytechnic, Madhyamik Kanya Shala,yawal.
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Kajal Patil
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