Ship the integration
Design and build a production AI-agent or LLM feature from empty repo to launch (tool-calling, MCP gateways, retrieval, orchestration), with the auth, tests, and observability it needs to survive real users.
AI Integration · Consulting
AI that ships
AI integrations that hold up in production.
I bring bank-grade auth and identity discipline to AI agents: authentication, tool-call authorization, delegated access, token handling. By day I wire services into a top-5 US bank's auth and API-gateway stack (OAuth 2.0, Apigee, PingFederate); after hours I built and open-sourced an MCP gateway that governs how agents touch real tools.
01 · Engagements
How I can help.
My edge is the security layer most AI work skips: agent authentication and authorization, auth for tool-calling, delegated access, and MCP-gateway governance, built with the auth and identity discipline of a top-5 US bank. I also do the general integration work (tool-calling, MCP, retrieval, orchestration), for teams past the prototype and heading for real traffic.
Make it not break
You have an AI feature that works in the happy path. I make it safe for production: tool authorization, rate limits and cost controls, audit trails, graceful failure, and the edge cases nobody tested.
A second senior set of eyes
Ongoing architecture reviews and on-call sanity for your AI infrastructure, so the thing you shipped keeps working, and the next thing gets designed right the first time.
02 · Selected Work
The work.
Systems I designed and built end to end: the same production-grade work I do for clients. Arbiter is a live MCP gateway; Hermes runs at home.
OBJ-01 · ARBITER LIVE
Arbiter
A self-hosted MCP gateway: one governed door between AI agents and every tool they call.
Agents authenticate through Arbiter instead of holding raw credentials: deny-at-call-time RBAC with a full audit trail on every proxied call, an encrypted secrets vault that checks authorization before it ever decrypts a key, and a Redis semantic cache that cut repeat tool-call latency from ~5.7s to ~33ms. FastAPI and PostgreSQL behind a React and TypeScript front, on Railway and Vercel. Designed, built, and launched solo.
arbiterai.dev ↗OBJ-02 · HERMES COMPLETE
Hermes
An agent-orchestration daemon that runs real work from a plain text message.
Routes a natural-language request to the right coding agent, runs it headless, and replies with the result: model-tier routing, task classification so non-code work skips the code path, and watchdogs that keep the loop alive unattended. The same orchestration and reliability patterns that keep production agent systems from falling over.
03 · The Day Job
Four years, one trail.
A top-5 US bank · San Francisco · in progress. Enterprise authentication, identity, and API-gateway integration. The unglamorous discipline I carry into the AI work.
Act I · 01/2023 – 02/2025
Software Engineer
- Built cross-language auth and logging libraries, standard across 100+ engineering teams.
- Built a GitOps config and secrets-sync service (HashiCorp Vault); config-only redeploys, adopted by 10+ teams.
- Reusable Python templates cutting new-service setup ~20 hrs each.
- Inner-source across 8 teams, ~30 PRs merged.
02/2025 · Promotion
Software Engineer → Senior
Act II · 02/2025 – present
Senior Software Engineer
- Wire services and micro-frontends into the org's API gateway (Apigee) and OAuth provider (PingFederate) using OAuth 2.0 PKCE and Authorization Code flows: the identity and gateway layer other teams' apps authenticate through.
- Migrated ~9 services PCF → OpenShift/K8s in ~2 weeks; wrote the migration playbook now used by 50+ engineers.
- Own the micro-frontend templates nearly every team in the org builds on; enforce org-wide version gates.
- Shipped metrics, attestation, and audit micro-frontends tracking framework usage org-wide.
- Coordinate ~25 production releases a year.
04 · Skills
The instruments.
Six areas. Solid dots are daily drivers; the hollow ones are still forming.
Backend
- Python
- FastAPI
- Django 4
- REST APIs
- OAuth2 / OIDC
- Flask
- Go forming
Frontend
- React
- TypeScript
- Micro-frontends
- JavaScript
- WebSockets
Data
- PostgreSQL
- SQL
- Redis
- MongoDB
- RabbitMQ
Cloud · Ops
- Docker
- Kubernetes / OpenShift
- CI/CD
- Azure (AZ-900)
- Railway
- Splunk
- Terraform forming
- K8s operators forming
Security
- RBAC / multi-tenancy
- Secrets vault (Vault)
- Auth libraries
- Audit logging
- OAuth2 / OIDC / SSO
AI Infra
- MCP gateways
- Agent identity / tool authz
- Audit logging
- Semantic caching
- LLM agent tooling
- LangGraph forming
- pgvector forming
DAILY DRIVERS: Python · FastAPI · React · TypeScript · PostgreSQL · Docker
05 · Open a Channel
Start a conversation.
Have an AI integration to build, or one that's already breaking in production? That's the conversation I want. Email is fastest.
hello@jaidensy.com- GitHub github.com/JaidenSy
- LinkedIn in/jaidensy
- Arbiter arbiterai.dev