> WORK_HISTORY.LOG

Software Engineer Intern

San Mateo, CA

• ▸Engineered infrastructure for rapid recovery of services to reduce critical downtime on the Infrastructure/Continuous Deployment team
• ▸Saved dozens of engineer hours by enabling bulk service redeployment for incident managers without engineer intervention
• ▸Led development of a tool capable of redistributing 10,000+ service instances across ~15 hardware cells during setup and failover
• ▸Implemented fault-tolerant Temporal workflows in Go capable of triggering thousands of Nomad jobs in batches

Software Engineer Intern

San Mateo, CA

• ▸Built infra for company-wide big data visualization using Apache Superset on the Foundation AI/Data Infrastructure team
• ▸Designed systems leveraging AWS ELB, EKS, ElastiCache/Redis, RDS, etc. to handle 400k+ daily requests and database queries
• ▸Minimized manual overhead by automating cluster deployment using Terraform CDK in Go for provisioning and GHA for CI/CD
• ▸Coordinated with PMs to migrate 2500+ dashboards for 900 users to Superset 4.0.1 while minimizing critical dashboard downtime

Research Assistant

Columbia, MO

• ▸Researched improvements on mine detection and classification from drone imagery for the MU Information and Data Fusion Lab
• ▸Increased PyTorch model training speed by 16x by engineering SLURM pipelines with dynamic resource allocation on an HPC cluster
• ▸Improved mine detection by augmenting 250,000+ real/simulated mine images resulting in a 10% increase in AUC

Software Development Intern

St Charles, MO

• ▸Streamlined the previously manual and error-prone generation of 3D maps of US cities from LiDAR data using the ArcGIS Python SDK
• ▸Proposed improvement to building and vegetation classification by training a PointNet model on 700,000+ 3D LiDAR points
• ▸Reduced generation time of 3.6 million NYC building footprint labels by 800% using Apache Spark for parallelized computations