Taylor Sando
I help engineering teams navigate AI-augmented development — architecture reviews, agent orchestration, and system design. I can look at a system and tell you where it breaks, what’s missing, and how the pieces should fit together.
Two decades building software, studying mathematics, and researching how agents — human and artificial — form and update models of the world. B.Sc. Psychology (neuroscience and behavioral research), B.Sc. Computer Science (HCI research, peer-reviewed publications), early-stage SkipTheDishes, and years of consulting across SaaS, e-commerce, and startup product development. Currently building infrastructure for auditable, event-driven agent orchestration.
Services
Architecture Reviews
Evaluate how your frontend, API, database, workflow, and infrastructure layers connect. Identify where the seams are, what’s fragile, and how the pieces should fit together. Not “learn React” but “understand why your current stack composition works or doesn’t.”
AI Agent Strategy
How to adopt AI coding agents without losing accountability. Progressive autonomy frameworks, permission policies, audit infrastructure, and multi-agent coordination. Based on a working system I’ve built and operate daily across Claude Code, Gemini CLI, and Codex.
Tech Stack Assessment
Evaluate whether your stack composition is coherent for your stage and scale. Where the boundaries between services should live, which abstractions are earning their keep, and where complexity is hiding. Security review of AI agent tooling and MCP plugin supply chains.
Writing
Experience
Publications
- Effects of animation, user-controlled interactions, and multiple static views in understanding 3D structures (2009) — ACM APGV — with Melanie Tory and Pourang Irani
- Impact of group size on spatial structure understanding tasks (2011) — IEEE PacificVis — with Melanie Tory and Pourang Irani
- Does the stress-axis in lake sturgeon undergo habituation? (2008) — Prairie Universities Biological Symposium (PUBS) — with Gary Anderson
Sandolab — Applied Research Lab
SandoLens
AI overlays projected into your field of vision. Developer HUD shows agent status, build pipelines, and voice commands. Field mode handles construction checklists, part identification, crew translation, and compliance documentation.
Control Plane
Monorepo for auditable multi-agent orchestration. Mesh (file watcher + CRDT versioning + LLM summaries), Orchestrator (multi-model task routing via git worktrees), OCC (declarative permission engine), Console (web dashboard + API gateway). Progressive autonomy: agents earn trust incrementally.
Hockeypedia
The only platform tracking complete trade trees and computing cumulative games-played impact across asset descendants. Real-time ingestion, AI-powered sprite analysis, content-ready outputs for creators and teams.
Voice Tools
On-device STT/TTS (faster-whisper large-v3 on RTX 3090 + Piper). Sub-second transcription, GPU-resident model, integrated into Emacs and agent workflows. Your voice never leaves your machine.
6 products, 10 research directions, and a full architecture at sandolab.xyz
Research Directions
Background
B.Sc. Psychology (neuroscience, behavioral research, animal cognition), then B.Sc. Computer Science and HCI research — two decades asking the same question in different contexts: how do agents form beliefs about their environment, and how do they coordinate when those beliefs diverge? That question started with fish in a lab, moved through spatial cognition and 3D visualization research, and now applies to AI coding agents with filesystem access.
I study mathematics — abstract algebra, differential geometry, real analysis — because the structures that show up in distributed systems (CRDTs, Merkle trees, session types) are mathematical objects, and understanding them formally changes how I design software. I maintain a living, falsifiable model of my beliefs about how systems work, with confidence scores and a revision protocol. It is the scientific method applied to software engineering.