Senior Software Engineer specializing in AWS data platforms and event-driven systems
Senior Associate Software Engineer4 years experienceSeniorFinancial ServicesFinTechCloud Computing
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About
Capital One engineer leading the architecture and delivery of a large-scale AWS Glue/Spark/Delta Lake batch messaging pipeline that decoupled batch from real-time flows, added multi-region failover and automated retries, and delivered ~40% AWS cost savings with ~3x performance gains. Currently building an LLM-powered Slack bot using RAG to automate message investigations by querying CloudWatch, Snowflake, and internal documentation with privacy-aware masking of NPI/PII.
Experience
Senior Associate Software EngineerCapital One
Associate Software EngineerCapital One
Software Engineering InternIBM
Research Team LeadGeorgia Tech AI Discovery and Innovation Lab
Education
Georgia Institute of Technologymaster, Computer Science (Machine Learning Specialization) (2025)
Georgia Institute of Technologybachelor, Computer Science (2022)
Key Strengths
Led end-to-end design and delivery of Capital One batch customer messaging pipeline on AWS Glue/Spark
Designed multi-region (east/west) active-passive failover with Route53 health checks and orchestration
Built automated job monitoring/retry via EventBridge-triggered Glue workflows plus SQS-based microbatch reprocessing
Drove major performance and cost outcomes: ~40% AWS cost savings and ~3x platform performance increase
Identified throughput bottleneck and implemented async writes achieving 5x+ write capacity and reduced worker provisioning
Deep low-level understanding of Spark + Delta Lake checkpointing/ingestion behavior; became team SME
Building LLM/RAG investigation workflow that queries CloudWatch, Snowflake datasets, and documentation to summarize message status
Strong production engineering hygiene: runbooks, leveled logging, typing, modular code, dependency locking, unit + E2E tests
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