Staff Software Engineer · Cisco Meraki · San Francisco Bay Area
15+ years building production systems at enterprise scale — I care most about distributed systems, API design, and reliability, and enjoy the unglamorous work that makes platforms feel solid: data modeling, integration paths, performance, and being useful when things break. These days that means Rails, React, Kafka, and Kubernetes by day; off hours I build privacy-first AI tools and write about the craft of software engineering.
Memory & privacy for AI
Encrypted memory for AI agents
A Python memory library where the platform running the agent cryptographically cannot read what users store. Client-side encryption, encrypted semantic search, PII sanitization. Published on PyPI with a preprint on Zenodo.
Code for VaultMem on GitHub (opens in a new tab) Live demo of VaultMem (opens in a new tab) Write-up about VaultMem
Agents & voice
Voice-first AI health companion
Built for the Gemini Live Agent Challenge 2026 — a health companion you talk to instead of tapping through logging screens. Gemini Live, Veo 2, and Google ADK.
Code for Rena on GitHub (opens in a new tab) Live demo of Rena (opens in a new tab) Write-up about Rena
Memory & privacy for AI
Brain-inspired memory engine
A memory engine modeled on Hopfield-style attractor dynamics — retrieval by partial cues and context rather than keys or nearest-neighbour distance.
Code for Attractor on GitHub (opens in a new tab) Write-up about Attractor
Memory & privacy for AI
Private voice diary
A voice diary with semantic search where entries and the search index are encrypted at rest, and no content leaves the device to answer a query.
Code for daylog on GitHub (opens in a new tab) Live demo of daylog (opens in a new tab) Write-up about daylog
How AI systems should remember — and who gets to read those memories. Brain-inspired retrieval. Running useful models on hardware I own. Keeping big APIs fast. I write up the papers behind my projects in plain language in the Paper TL;DR section — start with six papers that shaped how I think about AI memory. There's also a papershelf and a list of conference talks worth watching.
The vocabulary around AI agent memory borrows from neuroscience, databases, search and cryptography all at once, which makes it easy to talk past each other....
We recently deprecated the initial version of Cisco Catalyst Cloud Monitoring. That means the code that drove it — onboarding flows, device-specific paths, i...
daylog is a voice diary. You open it, tap the mic, say what’s on your mind, and it saves. You can search your entries semantically — type “frustrated” and it...