At INVISIBLE TECHNOLOGIES, I developed a self-hosted LLMOps and Model Garden platform using vLLM, with 3x higher throughput than Vertex AI and 40x lower inference cost than GPT-4 deployments.
I engineered core capabilities for AXON, an enterprise agentic AI platform, using MCP-native architectures for tool-calling agents and distributed orchestration. I also built production-grade RAG and agentic AI systems with LlamaIndex and Mem0, integrating 30+ enterprise connectors.
I led the FDE Enablement Lab, building reusable AI delivery infrastructure with Terraform, Docker, Cloud Run, and GKE. This standardized enterprise AI delivery and contributed to $10M+ in client engagements.
Previously, at SECURE AI LABS, I worked with MIT researchers and hospital administrators on SAIL, a HIPAA/GDPR-compliant federated analytics platform, and developed federated machine learning packages and data pipelines. At ALGOSCALE, I created an AutoML orchestration platform and AI image-culling software.
