Research
I work on AI agents, computer use, and ML systems as a Research Engineer at FAIR, Meta Superintelligence Labs.
ORCID: 0009-0000-1023-8053 · Google Scholar · arXiv author page
Selected research
Muse Glimmer 30B: An On-Device Agentic Model
Co-author · 2026 · arXiv technical report
A 30B multimodal model designed for autonomous agentic tasks on consumer hardware, combining multi-step reasoning, tool use, and failure recovery.
Read the paper · Google Scholar
Muse Spark
I contributed to Muse Spark’s computer-use capabilities and coding diversity across agent harnesses.
Open source
Spegel
Contributed technical architecture and flow diagrams to Spegel, a cluster-local OCI registry mirror for Kubernetes.
Merged documentation contribution · Project
Earlier technical work
At Dell Technologies, I worked on a demand-forecasting machine learning solution and co-authored a whitepaper describing its features, challenges, and benefits.
For my technical writing on LLM inference and AI infrastructure, see the blog. For my background and contact details, see About.