Senior software engineer, SaaS tinkerer, and professional 3am-deploy survivor. 450K events/sec at Securonix by day. Live products and LLM experiments by night.
SaaS products I designed, built, and actually shipped. All running in production right now.
Five years flowing through the stack: from embedded vision, to customer-facing cloud ops, to owning enterprise data platforms.
Embedded computer vision for autonomous driving. Object detection on fish-eye cameras and Raspberry Pi.
Front line for enterprise SIEM customers. Resolved P0 incidents across 300+ production environments at 99.8% uptime, live on customer calls.
Owned storage and query performance across SOLR, S3, and Snowflake. Indexing pipelines at 450K+ events/sec with Spark and Kafka Connect. Migrated 250+ customers to Snowflake with zero data gaps.
Lead Snowflake development for enterprise data retention. Built an LLM text-to-SQL and semantic search assistant with RAG, voted "Most Likely to be Productized" at the company hackathon.
Custom data lifecycle for Snowflake. Snowflake's in-house storage lifecycle policies didn't cover our retention requirements, so I'm building a metadata-driven lifecycle framework: custom retention policies, batch-deletion procedures, and automated purging that already cut storage costs by ~20%.
By day, I'm a Senior Software Engineer at Securonix, keeping data pipelines alive that chew through 450K+ security events every second at 99.8% uptime, because 99.7% would be embarrassing.
By night, I build SaaS products. Five of them are live right now, quietly doing their jobs while I sleep. My happy place is the backend: queues, pipelines, Snowflake, and systems that scale. Lately I'm deep in LLMs too, from RAG pipelines to multi-agent workflows.
MS in Computer Science from Stevens Institute of Technology (3.8 GPA). Based in McKinney, TX. Fueled by coffee and the latest AI tooling.
Enterprise-scale tools I use daily, and the ones I reach for when building products.