At Samprand LLC, I architect production multi-agent systems using LangGraph and Pydantic AI, with evaluation and observability through Langfuse and Logfire. I also delivered a supply-chain intelligence platform with hybrid retrieval and an ontology-driven Neo4j GraphRAG layer.
I build AI-powered applications across Flutter/iOS and Next.js, including news search with reranking and citations for Minnesota Public Radio. My work includes personalization and recommendation systems built with agent orchestration, vector retrieval, and VLM-based scoring.
Previously, I designed and verified RTL for fiber-optic transceiver ASICs at Marvell and developed FPGA solutions at EmTech. I bring hands-on experience across Python, Verilog, SystemVerilog, VHDL, UVM, C, and C++.
