
Driven data annotation lead with proven experience collaborating on high-impact AI initiatives and bridging engineering requirements with specialized data labeling efforts. Passionate about leveraging cutting-edge technology to create a positive global impact, I bring a relentless work ethic and commitment to delivering projects on time and at the highest standard of quality. Eager to contribute these strengths in a Technical Program Manager role to help push the boundaries of autonomous driving and bring transformative solutions to life.
Initially oversaw data labeler teams—training new labelers, scaling production outputs, and ensuring high-quality annotations to support autonomous driving initiatives. Subsequently transitioned to working closely with engineering on camera hardware projects, serving as both a lead and a hands-on labeler to align technical requirements with data annotation workflows. In this role, I manage project priorities, streamline labeling operations, and deliver accurate data critical for camera-based perception, enabling autonomy. Additionally, I support separate autopilot projects by auditing data quality and guiding labelers, consistently meeting deadlines and upholding demanding performance standards.
Python Programming Certificate – eCornell (via Guild)
Python Programming Certificate – eCornell (via Guild)