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Joseph Blas

Hi, I'm @joe,

Autonomous Systems Operations & Integration Leader

who builds field-tested autonomous & AI systems.

Autonomous Systems Operations & Integration LeaderAI Systems BuilderAutonomous Systems Veteran

From Google's founding self-driving milestone to Otto's autonomous beer delivery to production multi-agent AI — my career is a bridge between hardware and software. I helped build the AV industry. Now I run Joe's Tech Solutions — building the AI systems that run small businesses, on the same stack that runs my own.

This still feels like day one.

Same stack for my business and my clients.

If it doesn't survive me, it doesn't ship.

Career Highlights

Four moments that shaped the self-driving era — from the founding team to the frontier.

Present at the founding.

Part of the original Google team that hit Larry Page's 100,000-mile no-incident milestone — the result that green-lit the self-driving car project.

The autonomous beer run.

Helped carry out Otto's October 2016 autonomous beer delivery in Colorado (Uber ATG).

Google's Firefly.

Part of the team that built Google's Firefly — a fully custom, all-electric autonomous vehicle with no steering wheel or pedals.

Coast to coast, no hands.

Original sub-10-person Pronto.ai team behind the self-driving Prius that drove San Francisco → New York with no hands on the wheel and no pedal input.

Worked alongside people who now lead Aurora, Waymo, Nuro, Kodiak, and Wayve.

Work Experience

Previously: 10 years as an autonomous vehicle systems specialist at Google, Uber, and startups. Since 2019: contract field service and independent IT, cloud, and automation work, then founder of Joe's Tech Solutions building AI systems and full-stack apps.

Multi-Agent AI Systems
Full-Stack AI Development
AV Systems Integration
Client-Facing Delivery
Cloud & Platform
Hardware-Software Bridge
Joe's Tech Solutions LLC

Joe's Tech Solutions LLC

joestechsolutions.comSan Diego, CA

Founder & AI Systems Developer

2025 - Present · AI / Software

  • •Operate Hermes (Nous Research's open-source agent runtime) as an AI operations team — Lurkr as CTO, C-suite skills, VPs, 40+ scheduled automations handling real business operations
  • •Three live client deployments built and left running, watched around the clock by my own monitoring
  • •Private AI on the client's own hardware — Ollama, Open WebUI, local automation; no data leaves their setup
  • •Ship production web and mobile apps: React, Next.js, React Native, TypeScript, Supabase
  • •Created Whisper Walkie — open source push-to-talk voice typing tool (100% local processing)
  • •Built The Skate Workshop — React Native app for Olympic coach Willy Santos (19-table Supabase backend, push notifications; TestFlight beta on iOS, development paused)
  • •Cloud Infrastructure — Terraform multicloud (AWS/GCP), Kubernetes, Anthos/GKE

Key technologies

Case Study: OpenClaw → Hermes Migration
Hermes
Multi-Agent · Ollama Cloud

Hermes — Agent System

I operate Hermes as CTO. Executive skills, three VPs, 40+ scheduled automations, Ollama Cloud models pinned per job. Built on Nous Research's open-source agent. Migrated from OpenClaw in 2026.

  • Daily standup and evening-plan briefings compiled from every subsystem
  • Inbox and email watch with digest-first triage (draft, never auto-send)
  • A steward agent per project — daily status, blockers, and escalation
  • Weekly executive reviews, scorecards, and report generation
  • Watchdogs monitoring the crons, uptime, and model health — alerts only when wrong
  • Deployment pipelines: automated CI/CD
Case Study: OpenClaw → Hermes Migration
40+
scheduled automations
Ollama Cloud
model routing
24/7
operation
Salon formula app thumbnail
iOS · Android · In Beta

Salon Formula App — Mobile

A hair-color formula app for a salon. Expo Router + Supabase, shipping to iOS and Android.

  • Expo Router + React Native, TypeScript end to end, design-system first
  • Supabase-first with optimistic writes — capture commits and navigates instantly
  • RLS on every table keyed to auth.uid(); multi-stylist-ready schema
  • Designed to keep formula capture under 30 seconds
  • Over-the-air beta loop: a client text becomes a merged fix, median 13.8 minutes
Case Study: Client Texts Become Shipped Features
Full-Stack · In Production

Production Applications

Complete applications built and shipped. React/React Native frontend, Supabase/PostgreSQL backend, external API integrations.

  • The Skate Workshop: React Native app on a 19-table Supabase backend (TestFlight beta on iOS, development paused)
  • DALL-E Image Generator: web app with OpenAI DALL-E 3.0 API
  • Cloud Infrastructure: Terraform multicloud (AWS/GCP), K8s
  • Whisper Walkie: voice-to-text 100% local (open source)
Real AI For Real Businesses

Building for small businesses: Private AI Setup (a one-time 75-minute session — the client owns it, no subscription), AI Operations (monthly), and Custom Builds (apps and agent systems). Private AI runs on the client's own hardware — data never leaves their setup.

Quadient

San Diego North County, CA

Field Service Technician

May 2025 - Present · Field Service

  • •Install, maintain, and repair mailing and shipping systems, including postage meters and folder inserters, at customer sites across a North County territory.
  • •Diagnose electro-mechanical and software faults on site and document each service call and resolution.
  • •Act as the customer's technical point of contact from installation through ongoing service.

Independent & Contract Work

San Diego, CA

IT, Automation & Cloud

2019 - 2025 · IT / Automation

  • •IT, Linux, cloud, automation, and full-stack product work, including APIs, databases, and deployment tooling.
  • •Contract field service at OvationCXM (2023 - 2025): deployed and configured customer systems, and troubleshot complex technical issues at enterprise sites.
  • •Kept hands on the hardware side throughout, which is what made the move into AI systems a continuation rather than a restart.
Pronto.ai

Pronto.ai

pronto.ai San Francisco, CA

Autonomous Systems Operations

2018 - 2019 · Autonomous Vehicles

  • •Original sub-10-person team. Sole technician — owned end-to-end fleet integration, validation, and test campaign execution under rapid iteration.
  • •Supported the cross-country San Francisco → New York autonomous demo with zero critical failures and zero hands on the wheel.
  • •Conducted 10+ executive and investor demonstrations as primary field-to-engineering liaison.

Cross-Country Autonomous Demo

Supported a cross-country autonomous demonstration, San Francisco to New York, with zero critical failures. Conducted 10+ executive and investor demonstrations.

Watch Demo Video

"Sole technician operating Pronto.ai's entire fleet — built and integrated the autonomous system that drove coast-to-coast with zero critical failures."

Pronto.ai2018 - 2019
Uber ATG (Otto)

Uber ATG (Otto)

uber.com San Francisco, CA

Hardware Integration & Test Operations

2016 - 2018 · Autonomous Vehicles

  • •Helped carry out Otto's October 2016 autonomous beer delivery in Colorado.
  • •Led technician team installing wiring harnesses and mounting compute + sensors onto a 10-truck autonomous fleet, maintaining ~90% uptime.
  • •Installed newly-developed drive-by-wire systems and wheel-encoder infrastructure; vetted a manufacturing vendor in Juárez for scaled harness production.
  • •Primary field-to-engineering liaison: daily failure triage, root cause analysis, and resolution through the Otto → Uber acquisition.

"End-to-end ownership of a 10-truck autonomous fleet — from drive-by-wire integration to daily operations and root cause analysis."

Uber ATG2016 - 2018
Google Self-Driving Car Project (Waymo)

Google Self-Driving Car Project (Waymo)

waymo.com Mountain View, CA

Program Manager (L4) / Fleet Technician

2009 - 2016 · Autonomous Vehicles

  • •Owned full sensor-suite readiness — cameras, IMUs, three LiDAR variants, radar — as final gate before vehicles hit public or private roads.
  • •Built calibration infrastructure from scratch: targets/rigs from 80/20 extrusion, bench tools, and an anechoic chamber for radar.
  • •Cut full vehicle calibration from 9 hours to 60 minutes fleet-wide across 100+ vehicles; trained the operations team and ~100 drivers.
  • •Co-built the drive-by-wire system and installed onboard compute, including testing new NVIDIA chips for the self-driving stack.

"Supported the world's first fully driverless ride on public roads (2015) — a blind passenger was the first user."

Historic milestoneGoogle Self-Driving Car Project, 2015

Projects

joblas
Consulting · For Clients

Private AI Solutions

Private AI solutions for SMBs using Ollama, Open WebUI, and local automation tools. Client data never leaves their servers.

Claude CodeHermesShopifyMake.comBashMCP
  • 100% local deployment — no cloud data leakage
  • Local automation workflows
  • Local RAG: embeddings over client documents
  • Integration with existing client systems
  • Client team training for adoption
Available for private AI consulting
Hermes

Hermes

In production

AI operations system I run as CTO. Executive skills, VPs, 40+ scheduled automations, Ollama Cloud models pinned per job. Built on Nous Research's open-source Hermes agent. Migrated from OpenClaw in 2026.

HermesOllama CloudMulti-AgentModel RoutingSkillsMemPalace

The Skate Workshop

TestFlight beta · paused

Full-stack React Native mobile app for Olympic-level skateboarding coach Willy Santos. 19-table Supabase backend, live push notifications, 140 tricks and 4,952 trick-and-obstacle combinations, 175 automated tests. TestFlight beta on iOS, development paused; not submitted to the App Store or Google Play.

React NativeTypeScriptSupabaseExpo

cv-joseph

This Portfolio

Interactive CV with AI chatbot, agentic RAG, voice mode, Langfuse observability, and multi-layer defense. SSR prerender, bilingual i18n.

React 19TypeScriptTailwindViteClaude APICloudflare Pages

DALL-E Image Generator

Demo

AI image-generation web app using the OpenAI DALL-E 3.0 API — a demo build.

OpenAI DALL-E 3.0ReactNode.jsREST API

Whisper Walkie

Open Source

Push-to-talk voice typing tool with 100% local processing. No data sent to the cloud.

PythonWhisperLocal Processing

Cloud Infrastructure

Platform

Multicloud Terraform deployment (AWS/GCP), K8s migration with Cloud SQL HA, legacy modernization with Anthos/GKE.

TerraformAWSGCPKubernetesCloud SQL

AI Coding Power User

High-Agency · AI-Native

AI coding assistants are my core development tools. Multi-agent orchestration to full-stack apps — AI amplifies every phase.

  • ›Agent operations: one orchestrator + 40+ scheduled automations running real business operations on Ollama Cloud
  • ›RAG systems: embeddings, similarity search, context-augmented generation
  • ›Prompt engineering: system prompt design, evaluations, quality/cost optimization
  • ›Full-stack AI apps: prototype to production using Claude, OpenAI, Ollama Cloud, and open source models

Hermes Command Center

How I run the business with AI agents

Hermes is my agent operations system. Lurkr is the main agent, with executive skills, three VPs, and 40+ scheduled automations. Each job is pinned to the Ollama Cloud model that fits it.

JTS Hermes org chart v5.1 — Joe Blas CEO, Lurkr CTO, C-suite skills, three VPs, and the agent roles they route work to

JTS Org Chart v5.1 — role structure across Engineering, Infrastructure, Product, Marketing, and Personal

Ollama Cloud Model Selection

Every scheduled job and the main agent are pinned to a model that fits; a deep fallback chain covers outages.

glm-5.3-flash:cloudMain agent / default

Gateway sessions and most scheduled jobs

kimi-k2.7-code:cloudDelegated sub-agents

Spawned worker sessions and coding tasks

glm-5.3:cloudPrimary fallback / heavy reasoning

First in the fallback chain

minimax-m3 · deepseek-v4-pro · gemma4 · qwen3.5 · gpt-oss:20bFallback chain

Resilience when the primary provider degrades

Education

2009 - Present · Self-taught

10 Years AV + 5+ Years AI/Code

No formal degree. 10 years hands-on in autonomous vehicle programs (Google/Waymo, Uber, Pronto.ai) + 5+ years learning AI tools, code, and building personal and client projects.

Certifications

2025

AWS Cloud Solutions Architect Professional

Amazon Web Services

2025

Google IT Support Professional

Google

2025

Google Cybersecurity Professional

Google

2024

Programming with JavaScript

Meta

2024

Version Control (Git)

Meta

2024

Mobile Development

Meta

2024

Programming for Everybody (Python)

University of Michigan

2024

The Unix Workbench (Linux)

Johns Hopkins University

2024

Agile Development & Scrum

IBM

2024

Cloud Computing

IBM

2024

Cloud Bootcamp: AWS (59 hrs)

Cloud Academy

2024

Cloud Bootcamp: Azure (59 hrs)

Cloud Academy

Skills

Languages

EnglishNative

Soft Skills

CommunicationSystems ThinkingE2E OwnershipBias for ActionCross-Functional CollaborationRapid Ramp-UpClient-Facing Delivery

Tech Stack

AI / LLM
Ollama Cloud model selectionClaude & OpenAI APIsLangChain / CrewAIRAG SystemsOllama / Open WebUI
Frontend
ReactReact NativeNext.jsTailwind CSSExpo
Backend
Node.jsPython / FlaskPostgreSQLSupabaseREST APIs
Platform / Infra
DockerKubernetesTerraformAWSGCPCI/CDCloudflare
Agent Systems
HermesMulti-agent orchestrationModel routingWorkflow automation
AV / Hardware
Drive-by-wireSensor calibrationCAN/LINADASHIL

Let's talk

Have something that needs building? Custom software, AI agents, automation, and private AI for small businesses — on the same stack I run my own company on. No decks, no discovery sprint. Business inquiries: joestechsolutions.com. 10 years in AV + 5+ years building with AI/code.

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