Building a Visual Workflow Designer for LLM Multi-Agent Systems

I build distributed systems that stay reliable under pressure, and I bring ML intuition to every layer of the stack. With 2+ years shipping production-grade C++/gRPC services at Cohesity (formerly Veritas), I've owned everything from anomaly detection pipelines to cyber-resiliency features end-to-end. Now pursuing my MSc at Stuttgart, I'm combining systems depth with autonomous intelligence research to work on problems that actually matter at scale. At Cohesity, I contributed to Stargate - an enterprise-scale distributed file services layer - where I designed garbage collection logic, built high-performance concurrent file services with thread safety guarantees, and implemented stress-testing frameworks that validated system robustness under high-load conditions. I also independently drove a cyber-resiliency feature from architecture proposal through to production delivery. At Veritas, I led anomaly detection for structured workloads (Oracle, MySQL) using unsupervised ML (K-Means, DBSCAN, Isolation Forest) and built the full ELK data pipeline - Logstash, Elasticsearch, Kibana - containerized with Docker and orchestrated with Kubernetes.