Aaron (Ke Yi)

Solution architect manager by day, product builder by night. I ship agent systems and the gates that keep them honest.

Eighteen years at the systems layer, from network processors and IP/MPLS stacks to LLM agents. Today I lead an industry solutions team at a major cloud provider, building a media AI platform that agents call as tools, and I run a portfolio of AI products on my own time. One pattern connects both: let agents do the work, and make every gate deterministic. Evaluation sets, provenance states and human approvals that fail closed.

This page tries to show three things: hands-on depth (what shipped, with numbers), where I think agent tooling is heading (what I wrote), and product judgement (what I launched and how it is measured).

18
Years in Systems
7
Patents (US/EU/CN)
9x
AWS Certified
10+
OSS Projects

Last 90 days

Rolling 90-day window · GitHub + GitLab, work and personal
619
PRs & MRs merged
1,100+
Commits across 20 repos
20 + 20
Articles + research reports
4
Products launched

Launched in the window: NextPlace, BedFit Atlas, Memos 0.7.0 and Parts Lineage. Most of the merged changes are not features. They are gates: provenance checks, evaluation suites, publication rules and recovery paths that keep the pipelines dependable between releases.

$ cat ~/profile.yml
focus:
  - Agent platforms: MCP tool gateways, multi-tenant runtimes, AgentCore
  - Evaluation & observability as release gates (Langfuse, golden sets, holdouts)
  - Autonomous engineering loops with deterministic verification
  - GEO/SEO growth engines that publish, measure and improve under review

stack:
  languages: [Python, TypeScript, Swift, Go]
  cloud: [AWS (Bedrock, AgentCore, ECS, CDK), Cloudflare (Workers, D1, R2, Pages)]
  models: [Claude, GPT, Gemini, DeepSeek, MiniMax, Qwen]
  tools: [Claude Code, Codex, Langfuse, Playwright, Terraform]

motto: "Let the agents build. Make the gates deterministic."

What I'm Building

Three tracks, in the order I spend my time on them. Everything listed here shipped or changed in the last quarter.

1. Agent platforms in production

The day job: a platform that agents consume as tools, and the evaluation machinery that decides what ships.

Media AI capability platform
Work
13 media capabilities (transcription, translation, dubbing, visual search, tagging) exposed as 49 MCP tools behind Amazon Bedrock AgentCore Gateway. Multi-tenant, consumed by agents rather than dashboards.
Evaluation as the release gate
Work
Langfuse traces on every agent run. Golden datasets with a human review loop, protected blind holdouts, tiered release gates and cost-evidence freshness checks. 35 merged changes in two months.
Multi-agent competition sandbox
Work
A workshop where 20 independent agents run rival short-drama studios in a simulated market: live leaderboards, a director console, P&L and market shocks. Teaches agent design by letting agents compete.

2. Autonomous engineering loops

Tooling that lets a model plan, build and verify changes while the human only approves backlog and reviews evidence.

Loop Engineering Kit
Private
A deterministic spine for agent-driven development: approval, isolated clone, builder, verifier, evaluator, merge. Fails closed, runs in a Docker sandbox, canaries real providers. GPT-5.5 builds, Claude Opus 5 judges.
Memos
Private
Local-first continuity layer for AI coding tools: checkpoint a project in Claude Code, resume it in Cursor or Codex. stdio MCP, SQLite plus a Markdown mirror, native macOS menu-bar app. No account, no telemetry.
ontology-kit
Work
Zero-dependency Python that derives facts from code, generates the documentation blocks that depend on them and fails CI when the docs drift. Labels every merge request with an L0 to L4 autonomy level. Adopted in two production repos.
Freelancer pipeline
Private
Reviewed intake and Linear delivery orchestration with human approval gates. Nothing reaches a client without a signed decision.

3. Products in production

Established products with real users and a steady release rhythm. Each has its own ingest, publishing and measurement loop, and every change still passes tests and my review before it ships. I use them to test the ideas above against real traffic, not demos.

echloe.io
Autonomous GEO and SEO platform. Tracks whether ChatGPT, Claude, Gemini and other answer engines cite a brand, generates and publishes content to the customer's own site, audits public pages asynchronously. Dogfooded on echloe.io itself.
aifunding.me
AI venture funding tracker. Every valuation carries a provenance state (reported, modelled, unsupported) and nothing unsupported gets published. 123 merged changes this quarter, most of them data-integrity gates.
mockapi.vip
Free practice exams for 104 cloud and security certifications, generated and fact-checked by LLM pipelines. Moved from Cloudflare Pages to Workers behind an abort-gated cutover.
fp8.co
This site. Weekly articles and newsletter produced by a validated publishing DAG, a GEO citation monitor that records a failed API call as no observation rather than zero, and link-only private pages for long-form research.
BedFit Atlas
Bed and room-fit sizing site launched from zero on Sep 18, 2026: reviewed sources, a deterministic calculation engine, consent-gated analytics and a daily growth loop.
NextPlace
Reviewed AHL hockey schedules with official ticket links and ICS feeds, launched Sep 16, 2026. Every record passes a revision-and-approval service before publication.
BatchImage
Client-side batch image processing in WebAssembly: hundreds of images across four Web Workers, nothing uploaded, 838 unit tests.
Parts Lineage
Auto-parts lineage system on Cloudflare Workers, D1 and R2 with Gemini-generated part illustrations. Designed and in production within a day.
Runner fleet
Private
Self-hosted GitHub Actions fleet on AWS: a Spot pool plus an On-Demand stable pool with a maintenance coordinator. It runs CI for everything above.

Side quests

Built to learn a stack or to keep a promise to my kids. Still held to the same test gates.

Lumen Dive
Private
Original HTML5 underwater arcade game: Phaser 3, Matter physics, deterministic world segments, three biomes, packaged for CrazyGames.
Engine Lab
Private
Interactive 1UZ-FE, RB26 and rotary engine models: Blender assets, Three.js sectioning, verified kinematics and mechanical challenges.
Skill Hub
Private
Claude Code skills in daily use: formal document writing, podcast transcription, Xiaohongshu automation, expense reports, a PR review bot.

Earlier in 2026: ShotAI (AI-native video asset management client), ScienceComics (interactive science comics), PolyTrader (prediction-market quant system).

Built before this quarter

The systems the three tracks grew out of: document intelligence for the legal industry, early agent workflows with their evaluation harnesses, and the GenAI MVPs shipped with customers at the cloud provider.

LLM-Powered Document Intelligence
Work
Architected and shipped an IDP system with structured data extraction via LLM + validation layers, RAG-based document indexing with citation, and case association algorithms. Production-scale for the legal industry.
GenAI Agent Workflows
Work
Rapid prototyping of agent-based workflows, document reasoning, and summarization systems. Built evaluation frameworks for prompt iteration and model benchmarking.
End-to-End GenAI MVPs
Work
From concept to architecture to production: AI-native cloud solutions at scale integrating document AI, vector pipelines, and serverless infrastructure. 1,000+ solution deployments globally, 100+ production launches.

Writing & Research

80 articles, 67 weekly newsletters and a 78-term glossary on this site, all written from systems I actually run. Recent pieces focus on one question: which parts of the agent stack are becoming infrastructure, and which are still choices.

Recent articles

Long-form research, 2026 Q3

Twenty link-only reports written for teams I work with, each with primary sources and hands-on tests. Shared on request.

▸AI agent ecosystem landscape: infrastructure, middleware and industry applications (13 chapters, 49 figures, 674 footnotes)
▸Strands harness, Strands Decider and Strands Box: positioning, benchmarks and hands-on tests on a local Mac and in an AWS account
▸Langfuse vs Amazon Bedrock AgentCore vs Alibaba Cloud AgentLoop: runtime, observability and evaluation, with cost worked examples
▸The 20 most-cited AI papers of the year and the products behind them, selected from 8,420 candidates
▸Palantir Ontology: how it works and how to replicate it for manufacturing on AWS (123 cited sources)
▸Gemini 4 Argon vs Claude vs GPT-6: a reproducible benchmark beyond the official scorecards
▸Kubernetes and containers for AI infrastructure: 12 modules, 27 diagrams, a reproducible kind lab
▸NVIDIA GPU family guide with instance pricing across AWS, Azure, GCP, Alibaba Cloud and Volcengine

Open Source, the AWS Years

Core contributor or maintainer of 10+ repositories under aws-samples and awslabs. I build tools I wish existed.

Speaking & Publications

Conference Talks

▸DNB403 — How we build multi-modal video search engine and more — AWS GCR Tech Summit 2025, Breakout
▸SVS203 — Create your first API from scratch with OpenAPI and Amazon API Gateway — AWS re:Invent 2024, Builders Session
▸Extension for Stable Diffusion on AWS — AWS GCR Tech Summit 2023, Workshop
▸SVS208 — Building Serverless applications with AWS Terraform — AWS re:Invent 2022, Builders Session

Publications

▸Building a Distributed Load Testing Engine Using Lambda Container Images — AWS Blog
▸Developing a Serverless EFS File Browser — AWS Blog
▸Building Apache Superset on Amazon ECS Fargate — AWS Blog

Career Arc

From low-level network processors to LLM agents, always at the systems layer.

Solution Architect Manager & Tech Lead, Industry Solutions
Major Cloud Provider · 2019 – Present

Lead a team of forward-deployed engineers, SDEs and applied scientists delivering AI-native solutions to APAC and global customers. 1,000+ deployments, 100+ production launches, 10+ open-source repositories. Current focus: the media AI platform and evaluation gates above.

Director of Engineering
AI-Native Legal Tech · Oct 2025 – May 2026

Built the cross-functional team and shipped LLM-powered document intelligence for personal-injury law: extraction with validation layers, RAG with citations, case association, and an evaluation framework for prompt and model iteration.

Staff Engineer & Tech Lead
Telecom & Semiconductor Industry · 2008 – 2019

Built carrier-grade distributed systems. Hardware-software co-design, network processors, IP/MPLS protocol stacks, segment routing.

M.S. Control Theory & Engineering
Key University · 2005 – 2008

Patents

7 patents granted across US, EU, and China, spanning network resource optimization, SDN, packet processing, and distributed systems.

Let's Connect

Happy to talk about agent platforms, evaluation gates, or any of the products above. Code first, slides second.