Senior Software Development Engineer
Tech Lead for Agentic, ML Ops, and Data Platform
Amazon Advertising Partner Tech Org
- Architected and delivered Partner Knowledge Base; wrote doc, spun up project, aligned across 6 different tech and product teams, got executive sponsorship, and created a durable pattern for knowledge sharing with Agents across the Partner Tech org. Built on MCP, Strands, AWS AgentCore, and Bedrock.
- Rearchitected org's MLOps platform, cutting time to production from 3 months to 2 weeks and delivered 12 models in 6 months vs the 1 model in 2 years prior. Built serverless AWS Batch infrastructure scaling across thousands of machines, turning annual causal models requiring months of scientist involvement into weekly jobs with less than 1 failure per week across entire infrastructure. Made models CI/CD raising the quality bar and preventing regressions from sneaking in. Trained up scientists on new workflow, both speeding up and making their work more reliable.
- Revived ML Ops initiative solo after it had sat idle for a year. Demonstrated impact within a month, and used its success to establish a permanent AI/ML/Data platform team that has grown to seven engineers. Served as the tech lead and interim manager, partering directly with product and leadership.
- Designed and built a generic Spark data precompute pipeline which processes over 1 PB of data each week and has influenced more than $3B in advertiser spend in 5 years. Handles arbitrary queries, transforms, indexes, archival, and federated ownership of datasets.
