Built the distributed data layer for real-time monitoring on attack surfaces

Working with global AI labs to push the frontier of AI capabilities forward in engineering tasks.

Helping F100 companies build backend systems mostly in the observability space ranging from asset monitoring to revenue integrity and sales pipelines.

I made distributed querying and storage engines faster, cheaper, and more fault-tolerant. I helped secure several $XXM/Year clients like Coinbase and Fox by load testing their usage and reducing latency through a single-flighting approach at the query building layer. I treated 6 notable SEV 1-3 incidents as the on-call for all pages related to metric querying, with both a 0.001% and 0.05% case (hardware failure and corrupted read-replica in GCP). I configured intra-zonal affinity for our pods, cutting our query network latencies in half with AZ failure recovery for pods to evenly fill in to the remaining two AZs.

Solved a transparency issue in the music industry by creating Splytsheet, an app that makes creating split sheets easy.

Got to work closely with Dub Shakes, and e-meet 50 cent

I used Flutter, AWS Serverless, Postgres & Redis