Building enterprise-scale cloud infrastructure and production-grade GenAI agent architectures. Alumnus of Meta, Microsoft, and Palo Alto Networks.
A self-hosted system that maps complex codebase decisions into structured priors, served over Model Context Protocol to autonomous coding agents.
A native Android app running a local Gemma 4 E2 model for fully private, on-device text processing under strict mobile hardware constraints.
An open-source ecosystem and discovery platform for AI tools — grown into one of the most-starred curated lists in the space.
A production-grade email automation framework built on LangGraph for deterministic, non-linear agentic workflows.
A three-part deep-dive into Redshift architecture, distribution keys, and the query-planner mental models that actually move performance.
What changes when your database lives at the edge — replication topology, latency math, and the migration path that kept zero downtime.
Quantization, memory pressure, and thermal throttling — squeezing usable tokens/sec out of a Gemma model on a phone.
A working set across distributed systems, cloud infrastructure, and production GenAI — not an exhaustive list.
Open to principal-level and architecture conversations around distributed systems and production GenAI.