At NVIDIA, via Spectrum Consultants India, I’m accountable for overall quality across an autonomous vehicle and ADAS data annotation project. I own QA/QC frameworks, quality benchmarks, and audit sign-off across annotation workstreams.
I audit text, image, video, LiDAR, and 3D point-cloud datasets for AI/ML training. My work includes HD mapping, 3D-2D projection, LiDAR calibration, and ROI-based object and obstacle identification.
I designed and enforced audit frameworks that sustained 98%+ annotation accuracy across computer vision and NLP projects. I also review sensor-fusion datasets and verify annotations against ground-truth specifications for autonomous navigation.
I’ve trained and mentored 100+ associates on NVIDIA’s proprietary annotation tools and project guidelines. I work with ML engineers and client QA teams on acceptance criteria, dataset integrity, and corrective actions informed by audit findings.
