Kx Qa Vp
CurrentQA VP responsible for the quality of KX's new gen AI KDB.AI product as well as our highly scalable and performant cloud native time-series database, KDB Insights Enterprise.Both KDB.AI and KDB.IE are based on kdb+, the world's fastest time series database with nanosecond resolution and are widely used in Capital Markets, Aerospace and Defence, and High Tech Manufacturing (such as semi-conductor chip manufacturers). As a vector database written in the q array programming language, kdb+ is ideally suited to AI vector embedding. KDB.AI supports Flat, IVF, IVFPQ, and HNSW. Try it now by signing up on https://kdb.ai/.KDB Insights Enterprise is an enormously scalable and performant cloud native time series database, supported on AWS, GCP, Azure, and OpenShift, with a distributed micro-services architecture leveraging modern technologies including Kubernetes, Helm, and the Raft consensus algorithm. To give an idea of it's scalability, I typically ingest ~1.7Bn rows during a weekend Chaos Mesh resiliency (fault injection) test on a mid-sized cluster while killing random pods ever 3 minutes without data loss, whilst continuously querying data.I've built the QA team of 20 software engineers from scratch. Half the team are senior Python and/or Cypress test automation developers, and half are more junior but highly talented graduates.My passions are building teams, continuous process improvement, release management, and improving the quality of our customers' experience in any way I can.