Engineer working across infrastructure, backend, and AI/ML
- Backend & Infra: Python, Go, FastAPI, PostgreSQL, AWS (EC2, RDS, VPC, MSK), Docker, Nginx/OpenResty
- Data & Streaming: Apache Flink (PyFlink), Kafka, ClickHouse, Redis
- AI/ML: Pipecat, LangGraph, Deep Agents, LangSmith, MCP, RAG
- Voice AI Stack: Real-time voice agents on Pipecat: speech in, an LLM with tools in the loop, speech back out.
- LLM Inferencing: LLM Inference Experiments. Implementations and benchmarks for quantization, speculative decoding, and KV caching.
- Memory in AI Agents: Memory Weave. A local memory layer for AI agents: evidenced records, hybrid retrieval, and a gate that can return empty so weak hits stay out of the prompt.
- Learning to play piano
- Reading books. Currently reading Surrounded By Idiots by Thomas Erikson
- Functional fitness — strength training, mobility
- Reading about systems design and getting opinionated about database indexes
Open to chats about distributed systems, AI infra, or anything that involves making slow things fast.

