Daniel Schulz is an experienced developer specializing in automated technologies and data analysis, currently working at Woolpert Asia-Pacific since January 2021 on the LiDARnetics processing project using Python, Apache Airflow, AWS CDK, and Chalice. Prior experience includes a consulting role at Systemize Consulting where Daniel utilized OCR, machine vision, and deep learning for data analysis, and an internship as a software engineer at WSP in Australia & New Zealand, contributing to projects for various clients using Python, Django, and Javascript. Daniel also held a software developer position at GradReady Pty. Ltd, managing contractor sprints and objectives, and interned at Porsche focusing on electrical and electronics chassis. Education includes a Master of Engineering and a Bachelor of Science from the University of Melbourne, along with a concurrent diploma in Informatics.