Sanitized architecture and verified outcomes only. Source, screenshots, client data, and a demo are not public.
Disclosure boundary
Disclosure boundary
Audit basisPublic résumé plus evidence entries explicitly marked for public disclosure.
Published here
Generic product title, role boundary, selected technologies, one measured pipeline volume, and one performance target.
A conceptual request path that shows responsibilities without reproducing the client topology.
Kept private
Internal product terminology, proprietary screenshots, prompts, datasets, model configuration, and exact service topology.
Client usage figures, team size, security controls, operational incidents, and any outcome not present in the evidence ledger.
01 / Overview
An enterprise document AI product where I lead the React and Next.js frontend and contribute targeted work to the Python processing, Pinecone retrieval, SignalR streaming, .NET, and Azure Functions surfaces that support the experience.
02 / The problem
The problem
Turn a multi-step document AI workflow into a product experience whose processing, retrieval, and generated-output states remain understandable and responsive to enterprise users.
03 / My responsibility
My responsibility
Lead the product frontend: React and Next.js structure, implementation direction, conventions, reviews, and hands-on delivery.
Contribute targeted cross-stack changes where the frontend contract reaches document processing, retrieval, streaming, .NET, or Azure Functions.
Keep frontend ownership distinct from system-wide and team ownership; this case does not claim sole architecture responsibility.
Constraints
Constraints
Document processing and generated output introduce long-running and streaming states that the interface must represent honestly.
The product spans specialized technologies, while my deepest and explicit ownership remains the frontend.
Client confidentiality limits the public diagram to conceptual responsibilities and excludes screenshots or internal implementation detail.
04 / Architecture
Architecture
Sanitized product path
This is a conceptual responsibility map, not the client’s exact deployment topology. The frontend coordinates product states; specialized services handle generation, document work, streaming, and retrieval.
Document processing and AI output do not resolve as one immediate request, so a simple loading flag would erase meaningful progress.
Decision
Structure the React and Next.js experience around explicit product states and the contracts exposed by processing and streaming services.
Consequence
The interface can communicate progress and recovery without pretending every backend operation is synchronous.
02
Design responsiveness against a target
Context
Generated output feels stalled when users wait for a complete response before seeing any feedback.
Decision
Use SignalR streaming in the product path and design against a sub-two-second time-to-first-token target.
Consequence
Responsiveness becomes an explicit product constraint; the target remains a target and is not published as a measured result.
03
Contribute across boundaries without blurring ownership
Context
Frontend delivery sometimes depends on changes to processing, retrieval, streaming, or API behavior.
Decision
Make targeted changes in Python, Pinecone, SignalR, .NET, and Azure Functions while keeping frontend leadership as the stated role.
Consequence
Product work can move through integration boundaries without inflating targeted contributions into sole system ownership.
06 / Trade-offs
Trade-offs
Specialized services behind one product experience
What it enablesEach workload can use an appropriate tool: React for interaction, Python for document work, Pinecone for retrieval, and SignalR for streaming.
What it costsMore contracts and asynchronous states must be coordinated and made legible in the frontend.
Streaming before completion
What it enablesUsers receive earlier feedback and the experience can be designed around perceived responsiveness.
What it costsConnection lifecycle, partial output, cancellation, and recovery become explicit product states.
A sanitized public architecture
What it enablesThe case demonstrates scope, boundaries, and reasoning without exposing client implementation details.
What it costsReaders cannot inspect source, screenshots, precise topology, or private operational evidence.
07 / Failure modes
Failure modes
A document can fail before it becomes retrievable, so processing state cannot be collapsed into a generic success state.
A streaming connection can stop after partial output; the interface needs a distinct recovery path.
Retrieval can return weak context, which must remain distinguishable from a frontend transport failure.
A cross-service contract change can break an otherwise healthy UI, so integration boundaries require explicit validation and review.
The résumé provides the complete career context. For client-sensitive details, contact me and I can discuss the work at the appropriate disclosure level.