Agent Architect
Design agents with clear tools, limits, and a path back to a person.
Featured Work
Available For Hire USA · Remote
USA · Remote
Design agents with clear tools, limits, and a path back to a person.
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Study how model behavior stays inside the goals a person actually set.
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Place models in a larger system so cost, latency, and risk stay in view.
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Direct multi-agent work so each part plays its role and the result stays coherent.
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Put models into the product path: inference, eval, and the fallback.
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Fit an AI capability into a real operating problem, not a demo.
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Stand up the runtime that lets models, tools, and data talk in production.
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Specify how models, memory, and tools should sit together before they are built.
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Coordinate agents, tools, and human steps so a workflow completes.
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Prepare data, runs, and eval so a model improves on purpose.
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Build the services, stores, and contracts a product surface depends on.
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Build the services, data, and contracts the client depends on.
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Translate an operating need into requirements a builder can implement.
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Map how a company actually works, then specify the system that should hold it.
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Handle live conversations with a short loop from question to resolution.
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Design the cloud estate: accounts, networks, and the seams between services.
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Implement and operate the cloud layer a product actually runs on.
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Split a platform into services that can deploy, fail, and scale on their own.
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Place workloads on the cloud so scale, cost, and failure modes stay honest.
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Hold the whole cloud system in view: data, compute, identity, and recovery.
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Map how a living system behaves when parts interact faster than a plan.
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Specify and maintain the loops that keep an operational process inside its bounds.
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Find, structure, and close the moves that change what the company owns.
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Meet the person at the edge of the product and get them back to work.
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Build the controls that keep access, data, and runtime inside policy.
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Turn raw records into a reading a decision can stand on.
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Label examples with enough care that a model can learn the right boundary.
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Build the pipes that move data from event to warehouse without losing the grain.
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Turn incomplete information into a choice a team can act on.
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Make build, deploy, and runtime a single path instead of a handoff.
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Own the corpus: structure, versioning, and the path from draft to published.
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Watch weak signals and write the futures a product should be ready for.
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Work both sides of the request: the client a person uses and the service behind it.
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Name the next operating conditions before they arrive as constraints.
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Model the incentives between actors so a strategy survives contact.
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Operate inside a large defense and systems house: process, clearance, delivery.
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Design generation systems: context, retrieval, eval, and the release path.
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First-line intake for incidents, access, and the questions that keep a team moving.
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Keep the day-to-day estate running: access, patches, and the quiet checks.
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Keep the software stack a team already owns reachable, patched, and usable.
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Keep devices, accounts, and internal tools reachable so work does not stall.
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Diligence the deal: what is being bought, what it is worth, and what breaks.
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Train, ship, and watch models as production software.
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Design the runtime layer: deploys, edge, auth, and the quiet infrastructure a product sits on.
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Turn an operating idea into a usable path: information architecture, interaction, and the first working surface.
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Hold the backlog, the cut line, and the reason a next slice ships.
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Sit between product and support when an issue is the system, not the user.
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Track the moving parts so a project does not lose the thread between meetings.
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Keep scope, time, and people in one motion until the delivery is real.
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Prove what the product does, and write down what it still will not.
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Exercise the product the way a person will, and catch what the happy path hides.
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Attack the system on purpose so the real failure shows up first in-house.
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Resolve tickets from anywhere without losing the context of the person's setup.
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Name the loss paths and put a control on the ones that actually matter.
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Ship a multi-tenant product that stays stable as accounts and usage grow.
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Find the failure modes of a model or system before they reach a person.
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Write a small set of plausible worlds and the moves each one requires.
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Protect the cadence and remove the friction that keeps a team from finishing.
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Watch the estate for what should not be happening, and write it down.
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Keep a service up by treating operations as software.
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Read an existing system closely enough to say what it does and what it costs.
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Set the shape of the codebase so later work does not fight the first decisions.
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Write and ship the code that turns a spec into a running surface.
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Build and ship product surfaces across web clients, APIs, and the systems that keep them online.
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Automate the proof that a build still does what the last one claimed.
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Shape a system that can be built, operated, and paid for without surprise.
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Support high-tempo operations with the picture a team needs to move.
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Shape the data layer: schema, queries, and the path a record actually takes.
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Frame the choice, the trade, and the sequence a company should take next.
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Draw the boundaries of a system so each part has a job and a failure mode.
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Compose parts into a system whose behavior can be reasoned about.
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Design how a team finds, evaluates, and seats the people the work needs.
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Read logs and config when a support case needs more than a script.
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Diagnose across product and infrastructure when a ticket is no longer first-line.
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Turn a working system into language a person can follow without a walkthrough.
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Design the path a person takes through a product, not only the screen they see.
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Stand up a public surface: portal, product page, or operating shell with a consistent visual system.
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DNS, edge, deploys, and the small durable systems that keep a domain family reachable.
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Map a domain of work into modes, routes, and the interactions a person actually uses.
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