Fractional CTO and AI agent architect: 30+ AI/ML systems in production in three years. My agents resolve support tickets, answer phones and book appointments, and give staff answers from their own data.
50+ built in the same three years on LLMs, RAG, voice AI and MCP, and I still write the code. Before this I was CIO of Perry Homes and a PwC director: 23+ years leading technology.
Most of it runs where mistakes are expensive, in healthcare, legal and finance, with the checks that let a business trust it in production.
WHAT IT DOES FOR CLIENTS
• Resolves support tickets. As fractional CTO and Head of Product Engineering and Forward Deployed Engineering for an AI SaaS startup, $1M+ ARR, I led a five-person team through a ground-up rebuild of its support AI. It resolves routine tickets itself and hands the rest to people, for hundreds of customers. I authored 500+ pull requests in about eight weeks and reviewed and deployed about 300 more from the team.
• Puts data in plain English. Pharmacy staff ask questions and get answers from live data across 50 locations of an approximately $100M enterprise.
• Answers the phone. Tellgence, a voice AI product I built at Pendoah, answers a small business's phone, books the appointment and hands off to a person. It is live with its first business customers.
• Qualifies inbound leads by conversation and transfers the promising calls to a person live.
• Saves money at scale. At PwC: AI fraud detection for a global insurer with 40% fewer false positives and about $15M a year in savings, and AI and RPA claims automation that cut processing time 35% and saved about $10M. For an energy company: an industrial AI program at about $10M in annualized cost avoidance at handover.
• Also shipped: an AI health-coaching iPhone app I ran in production, conversational-commerce and embedded-payments platforms for an external founder, private on-premises legal AI, and an Entra-secured AI API for ChatGPT Enterprise. My own product is ABACare, which helps ABA therapy clinics get paid for every session they deliver; it is preparing design-partner pilots.
WHO YOU'RE HIRING
CTO & Partner at a Houston AI and software firm: oversight of 110 people, and I directly lead 20+ in its software and AI group, across hundreds of completed projects.
CIO of Perry Homes (2017-2022): I led 45 direct staff and 30+ extended team members for a homebuilder of about 1,300 employees and 2,500 contractors and suppliers. Revenue grew from $800M to $1.71B and closings from about 2,100 to about 3,400 while I ran technology. I replaced the ERP with Dynamics 365, brought mortgage, title, insurance and a second homebuilding brand under one IT estate, retired about 70% of legacy applications and cut IT operating expense about 20%. Customer platforms were associated with about $50M in commercial uplift, and construction approvals ran about 40% faster with about 70% less paperwork.
Earlier: Director of Enterprise Architecture at PwC, Principal and Houston practice leader at Credera, Practice Director at Hitachi Consulting (I won and delivered the merger integration for a major US energy acquisition) and Accenture. Teams of 20 to 100, at least three M&A engagements, 100+ enterprises.
Still hands-on: 2,600+ pull requests and 14,000+ commits across 28 repositories since October 2024.
Sarosh H. earns an estimated $15k/mo. That's 12.4× the typical freelancer and more than 99.96% of everyone we track.
HOW I WORK
• Outcome first: before I write code, I pin down with you the number the system has to move.
• Evals before launch, and access controls and an audit trail on anything that touches customers or money.
• Your repo, your cloud, your keys. Claude, OpenAI or Azure OpenAI; LangGraph when it earns its place, plain Python or TypeScript when it doesn't.
• Written decisions your team can run with after I'm gone.
THREE WAYS TO START
• A 90-day plan to take an AI agent from demo to production (fixed price)
• A production audit of a live agent or RAG system, with fixes (fixed price)
• A fractional CTO by the month, or hourly once the rhythm is set
Or book a consultation.
STACK
Python, TypeScript, Node.js, Next.js, React, PostgreSQL with pgvector, Redis and BullMQ, Temporal, OpenAI SDK and Agents SDK, Anthropic SDK, Azure OpenAI, AWS Bedrock, LangGraph, LangChain, Model Context Protocol (MCP), Azure AI Search, Qdrant, Twilio, LiveKit, OpenTelemetry, Langfuse, AWS (ECS Fargate), Azure, Docker, Terraform, GitHub Actions.
OPEN SOURCE
AgentHub keeps every AI coding agent on your machine (Claude Code, Codex, Cursor, Gemini CLI, Copilot CLI and more) on the same skills, MCP servers and policy, and tells you when one drifts. Apache-2.0.
RECOGNITION
Upwork Expert-Vetted (top 1%), Top Rated Plus and 100% Job Success. Client names stay confidential.
Tell me the result you need, the system you have, and the one failure that worries you most. I'll reply with what I'd do first.