● As the first employee, I spearheaded the development of the entire software infrastructure from inception to production, allowing the company to leverage AI for robotic agricultural applications● Designed novel motion control and calibration methods for bespoke robotic gantry and computer vision system● Architected and implemented an automated daily report using Dockerized applications utilizing S3, SQS, Postgres, and Nomad● Managed team of 4 machine operators, in addition to training and troubleshooting● Reduced end-to-end process time by 85% from 2 minutes to 18 seconds● Implemented multi-process data pipelines using NumPy, Pandas, and OpenCV, enabling real-time analysis for decision-making and quality assessment● Collaborated as a software lead and integration engineer with cross-functional teams, including AI, Hardware, DevOps, and multiple technology vendors

● Created self-supervised object detection infrastructure consolidating a 4-person task and establishing baselines to prevent object collisions for autonomous equipment● Implemented image similarity algorithms to reduce oversized training and validation datasets by 92% ● Worked cross-functionally with team members to develop scalable Auto ML pipeline● Met with stakeholders and assessed their needs in the field, informing design of image labeling schema and performance requirements

● Designed, prototyped, and developed a new messaging feature in collaboration with stakeholders, increasing adoption and boosting user confidence● Resolved concurrency issues from database transactions eliminating scheduled job failures● Created RESTful APIs using Test Driven Development in Ruby on Rails framework● Onboarded and mentored new employees expediting integration into the team