From workflow to service boundary.
Clarify the user and operator need, model the data and integration edges, then turn an ambiguous workflow into a focused, buildable product slice.
SOFTWARE PRODUCT BUILDER / ENTERPRISE PLATFORM
I turn legacy workflows and ambiguous platform needs into API-backed, reviewable systems - with C#/.NET backend depth, migration discipline, and AI-assisted delivery.
POSITIONING Hands-on enterprise platform builder for modernization, APIs, integrations, cloud delivery, and accountable AI workflows.
01 / ROLE FIT
My strongest fit is where a team is modernizing real systems while still needing product judgment, backend depth, cloud delivery, and fast but reviewable execution.
Clarify the user and operator need, model the data and integration edges, then turn an ambiguous workflow into a focused, buildable product slice.
Analyze legacy Oracle PL/SQL and Pro*C APIs, decompose the work, preserve traceability, and plan reviewable C#/.NET delivery with tests and progress gates.
Use MCP, repository context, structured outputs, and Codex-assisted implementation while keeping permissions, human review, and operational evidence explicit.
02 / FEATURED CASE · MODERNIZATION
Legacy API work is where platform judgment matters: understand the source, preserve behavior, define a target boundary, and make every step reviewable.
Recent work applied AI-assisted analysis and .NET migration planning with task decomposition, review gates, tests, progress visibility, and traceable evidence.
Understand the legacy API behavior, data dependencies, contracts, and operational constraints before choosing a target shape.
Break the work into focused API and service tasks so progress, risk, and review boundaries stay visible.
Use tests, review gates, traceable findings, and handoff evidence to make modernization safer to operate.
03 / BUILD EVIDENCE
Migration is the main story. These selected systems show the supporting range: traceable APIs, enterprise context, workplace integration, and evidence-led retrieval.
Correlated a large API inventory with work records to preserve source traceability across analysis, implementation planning, and verification.
Connected Jira, Confluence, API contracts, and repository context before generating reviewable engineering changes, with permissions and human approval kept explicit.
Built and validated a Microsoft Teams Bot foundation with OpenAB Gateway integration design, contributing to an AI workplace assistant with RAG, enterprise knowledge, UI/Ollama, and Teams components.
Implemented OCR, embeddings, citations, and separated knowledge boundaries, then moved the validated capability into a continuously usable retrieval service.
04 / WORKING METHOD
AI makes the loop faster. Engineering makes the result trustworthy. My workflow keeps both visible: context first, focused build, evidence, review, operation.
Read the existing system, contracts, data, and operating constraints.
Turn an unclear opportunity into a focused, testable product slice.
Use AI-assisted development to move quickly while keeping changes reviewable.
Validate with working evidence, document the boundary, and hand off a useful service.
INDEPENDENT APPLICATION SHOWCASE
This page is an independent portfolio created for Eric Huang's Software Product Builder - Enterprise Platform application. It is not an official Ubiquiti website, product page, or endorsement.
05 / NEXT CONVERSATION