About. Tech lead, sr. software engineer, and researcher of data and AI platforms to accelerate scientific discovery. With 15+ years at IBM, ORNL, SLAC, and UFRJ, I foster user-centric system design, working closely with domain experts to translate complex scientific needs into production-grade systems that are easier to operate, maintain, and scale. I specialize in highly scalable, low-latency, observable, provenance- and metadata-first architectures that connect Edge instruments, OpenShift/Kubernetes cloud clusters, and leadership-class supercomputers (e.g., Frontier’s 37k+ GPUs). By integrating SQL and NoSQL databases, object storage, messaging and streaming systems, and parallel file systems, my work delivers reliable, explainable, and reproducible large-scale workflows. My current focus includes AI/ML, LLM-driven, and agentic workflows.
Areas of Expertise
- AI/ML, LLM-driven, and Agentic workflows
- Edge-Cloud-HPC computing
- Provenance-driven data analysis, lineage, and observability
- Scalable data engineering (SQL, NoSQL, KGs, Streaming, Parallel Data Processing)