• Designed a MySQL database schema to store, query, and analyze large-scale geospatial metadata, reducing query latency by 30%
through optimization techniques
• Implemented a Pytorch data loader for a geospatial foundational model (Transformer), enabling efficient data processing of the
Landsat and MODIS datasets and significantly improving model training times
• Containerized data preprocessing pipelines with Python, Redis, and Kubernetes, streamlining the standardization of geospatial
datasets and ensuring scalability for distributed machine learning workflows, reducing preprocessing time by 15%
TerraVortex: Start Up, Co-Founder (CTO)
• Developed an AR-AI headset for real-time visual manufacturing guidance
• Talked to 50+ companies to understand user requirements and led a cross-functional team to secure $21,000 in university funding
and establish pilot programs with Kohler and Brunswick