Siddharam Umbarje

Detail-oriented professional with 3.5 years of experience at NVIDIA as a Process Executive QA. Strong understanding of SDLC and STLC Agile (Scrum) methodology with hands-on experience in test case design, test execution, defect lifecycle management, and database validation using SQL queries. Proficient in Functional, Regression, Smoke, and Black Box Testing.

Possess foundational knowledge of Python for automation concepts. Demonstrated analytical thinking, strong documentation skills, and a quality-focused approach to software validation.

QA - NVIDIA

(2022-01)

Working as a QA Tester for autonomous vehicle lane annotation and HD mapping projects.

• Performed quality testing and validation of lane annotations, road geometry, and map data accuracy.
• Conducted frame-by-frame verification of annotated datasets to ensure consistency and compliance with project guidelines.
• Identified, tracked, and reported defects related to lane markings, annotation alignment, and tool functionality.
• Validated AI-generated annotations and corrected inaccurate lane predictions to improve data quality.
• Tested annotation tools for performance, synchronization, editing accuracy, and workflow stability.
• Performed edge-case testing on complex driving scenarios including intersections, construction zones, shadows, and low-visibility conditions.
• Collaborated with annotation and development teams to resolve issues and enhance annotation quality standards.
• Prepared detailed bug reports with screenshots, issue descriptions, and reproduction steps.
• Supported regression testing and dataset verification for autonomous driving applications.

Bachelor of Engineering - Mechanical - Solapur University (2019)