Jorge D. Calderón-Contreras

Image Quality Lead Engineer at Sheba Microsystems Inc

Led development of image quality and computer vision solutions for LiDAR-based automotive sensing. Developed MEMS auto focus cameras; translated customer KPIs into internal requirements; performed simulation and benchmarking; ensured compliance with ISO 26262 and AEC standards; optimized for high-temperature environments; improved safety-critical sensing.

Image Quality Lead Engineer at Sheba Microsystems Inc

Lead image quality and computer vision engineering initiatives for automotive sensing systems, including cameras, LiDAR, and sensor fusion; coordination with cross-functional teams for system-level validation.

Senior Staff Algorithm Engineer LiDAR Division at Continental

Algorithm engineer for signal integrity in LiDAR sensors. Engineered signal integrity algorithms and validated LiDAR requirements through modeling, point cloud benchmarking, and noise reduction; collaborated across hardware and perception teams to align performance with safety standards. Developed state-of-the-art algorithms for LiDAR point cloud data processing, enhancing accuracy and efficiency. Improved system robustness by optimizing point cloud performance and reducing noise interference. Used Python and MATLAB for algorithm modeling.

Founder & CEO at Keep Chill Inc (Brawl Brackets)

Santa Barbara, California creation of tournaments and photography vision. Developed a SaaS platform automating content creation for Ju-Jitsu tournaments. Led UX/UI development and collaborated with designers to refine user experience. Implemented AI models for automatic photo selection and editing, reducing photographer dependence. Boosted engagement and digital visibility for tournaments like ADC, JJWL & Grappling Industries.

Founder & CEO at Keep Chill Inc

Founded Keep Chill Inc (BrawlbRackets); defined product strategy, UX/UI development, and growth initiatives for an automotive-focused platform.

Senior Data Analyst Engineer at Light

ADAS system was acquired by John Deere in 2022. Worked at the interface of product, computer vision, and image quality teams to set and verify system-level metrics; improved traceability by linking depth perception KPIs to data quality and stereoscopic disparity modeling. Applied statistical methods; disseminated results. Data and analytics for automotive imaging.

Senior Algorithm Engineer (LiDAR Division) at Continental

Led LiDAR perception algorithm development; modeled and validated LiDAR KPIs, performed point-cloud benchmarking, and collaborated with hardware/validation teams to meet safety and performance targets.