Collect, process, and analyse large-scale financial, blockchain, market, and other relevant datasets using Python, MATLAB, SQL, and related analytical tools.
Enhance system usability and performance by implementing scalable frontend architectures, debugging issues, and continuously improving latency, reliability, and user interaction workflows.
Build identity & trust signals: Leverage user behavior, historical patterns, and cross-modal risk indicators to produce robust identity-quality and trust signals.
VMS & Enterprise Integration: Write custom plugins and middleware to interface directly with enterprise-grade Video Management Systems, network video recorders (NVRs), and unified access control physical layers.