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Proof / selected work

The systems.
The decisions.
The work.

Agent platforms, consumer-scale infrastructure, and technical leadership through acquisition. The same engineering we bring to every forward-deployed engagement.

AI-Native SaaS / selected work

Agent Platform Engineering for Enterprise AI

The problem
Give AI agents a way to find, create and update a content platform's structured information.
What we built
Backend AI with Anthropic, OpenAI and Google models, 50+ MCP tools, content APIs and semantic search.
What it made possible
Agents that find information, act on it and power interactive experiences inside compatible AI clients, for a unicorn startup and Fortune 500 companies.
50+
MCP tools built

Backend AI, API and infrastructure engineering, from architecture through launch.

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Agent platform engineering

  1. Backend AIAnthropic, OpenAI and Google
  2. 50+ MCP tools builtDiscover, create and update content
  3. APIs and searchStructured content and semantic retrieval
  4. Platform infrastructureSupports agents and MCP Apps
The platform's agent capabilities, layer by layer.

Consumer Platform / selected work

Engineering at consumer-app scale

The problem
A nationally recognized consumer app with uneven, time-concentrated demand across millions of users.
What we built
The backend, infrastructure and messaging system, designed for peak-scale events.
What it made possible
More than 100 million messages in a single day for an app that reached #1 on the iOS App Store.
100M+
messages in a single day

Lead engineering and architecture of the backend, infrastructure and messaging system.

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A platform built for uneven demand

  1. Application trafficMobile clients · messaging workloads
  2. Service boundariesPurpose-built APIs and backend systems
  3. Asynchronous workQueues separate delivery from request handling
  4. Data & operationsStorage, monitoring and release discipline
A high-volume messaging architecture.

Healthcare / selected work

Technical leadership through acquisition

The problem
A regulated EHR and revenue-cycle platform connecting clinical workflows, revenue operations and patient access.
What we built
The core EHR/RCM system, with HL7 orders and labs, telehealth and a patient portal, then a Microsoft Fabric data layer after the acquisition.
What it made possible
A platform the acquiring a16z-backed company chose as its technology foundation, with 100+ reports in use by hospitals and healthcare organizations.
CTO
platform leadership through acquisition

CTO leadership, TeqEngine software development and technical diligence through acquisition.

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Continuity through a technical transition

  1. Understand the estateArchitecture, dependencies and technical risks
  2. Make the decisionDiligence findings · leadership communication
  3. Carry the platform forwardSystem and data delivery after acquisition
  4. Maintain ownershipOperational context · decisions · handoff
CTO responsibilities, from the build through the acquisition.

Further reading: AI-driven supply-chain and logistics workflows. See how a forward-deployed engagement works today.

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