Gil Lazar

• Processed and interpreted millions of LiDAR points using TopoDOT/MicroStation to support geospatial analytics and topographic modeling. • Improved production workflows for feature extraction (breaklines, templates, drape-to-data), increasing mapping consistency across freeway and cityscape datasets. • Developed and trained a YOLOv8 utility-detection model covering 8 critical asset types, building an end-to-end ML pipeline from dataset creation to evaluation. • Engineered a triangulation workflow to convert image detections into survey-grade coordinate estimates, reaching ~70% accuracy and demonstrating the feasibility of ML-assisted utility mapping.

• Delivered high-quality customer service, managing hundreds of transactions efficiently in a fast-paced environment. • Responsible for closing shifts and handling cash, balancing registers and completing end-of-day reports. • Developed strong communication skills by engaging with customers and team members, resolving issues quickly and professionally.