Interior Design AI Rendering & Workflow
Interior Design AI Rendering & Workflow Platform
Built for interior designers, bringing reference image import, stylized rendering, AI image/video generation, image editing, asset management, and Agent workflows into a unified SaaS product.
Independent full-stack development · Live screenshots of the public "Inspiration Plaza" page (brand information anonymized) · Captured on 2026-08-18
Currently available for AI implementation projects
FORWARD DEPLOYED ENGINEER / Forward Deployed Engineer AI SOLUTIONS / PRODUCT / DELIVERY
00 / INTRODUCTION
I'm Fengyu, a Forward Deployed Engineer. For teams that need AI product development or business system integration, I provide enterprise knowledge Q&A, process automation, and AI SaaS development — from requirement validation through launch and handover.
SELECTED WORK
Unified Q&A for Documents and ERP/WMS
Connects enterprise documents, ERP orders, WMS inventory, and report data into a unified Q&A pipeline, supporting business queries, knowledge traceability, and analysis report generation.
Full-stack development / AI application development · Conceptual visuals generated from case descriptions · Not actual product screenshots
Cross-Platform Product Selection & Content Opportunity Discovery
Identifies product selection opportunities, user pain points, and content directions from multi-platform user discussions and long-tail keywords, outputting structured HTML/JSON reports that preserve source evidence.
Independent development · Conceptual visuals generated from case descriptions · Not actual product screenshots
Scenario diagnosis, usable prototypes, data & system integration, production launch, and optimization
01 SERVICES Service Capabilities
FROM FIELD TO PRODUCTION
Delivering results that actually run.
01 DISCOVERY & STRATEGY
For teams who know AI is worth trying but aren't sure what to do first. We identify high-value entry points first, then decide whether to invest in development.
- Business processes and key bottlenecks
- Scenario prioritization and risk assessment
- Phased plans and delivery boundaries
02 PROTOTYPE & VALIDATE
For projects that want to reduce trial-and-error costs. Before full investment, validate effectiveness, workflows, and adoption willingness with real data and user feedback.
- An operable workflow or Agent
- Real data and tool integration
- Evals of results and criteria for continuing
03 INTEGRATE & DEPLOY
For teams who have a Demo but are stuck on integration and launch. We connect the solution to existing data, permissions, and business systems, turning it into a maintainable product.
- Full-stack product and critical paths
- Enterprise systems, data, and model integration
- Testing, release, and runtime monitoring
04 ADOPT & ITERATE
For systems that are already live but deliver inconsistent results. We continuously optimize around real usage and hand key capabilities back to the team.
- Usage feedback and issue retrospectives
- Workflow, experience, and model optimization
- Documentation and capability handover
02 CAPABILITIES Core Capabilities
And also get systems
truly finished.
You don't have to keep translating between consulting, product, and engineering. I break business goals into verifiable solutions and carry them along a single chain of responsibility through to launch and handover.
Enter the real workflow to find the key bottlenecks affecting outcomes, rather than deriving requirements backward from model capabilities.
Quickly build operable, evaluable prototypes, and use evidence to decide whether to continue, adjust, or stop.
Connect frontend, backend, data, enterprise systems, and models so the solution fits into existing work.
Complete permissions, evals, logging, release, and handover so the system remains controllable after launch.
03 EXPERIENCE & CONFIDENTIALITY Anonymized Project Experience
ANONYMIZED PROJECT EXPERIENCE
While protecting partners' boundaries too.
To comply with confidentiality agreements and respect third-party rights, this section does not display the names, logos, trademarks, or other identifiers of clients, partners, or project-related companies without prior written permission from the relevant rights holders. The following is only an anonymized overview of industry sectors, application scenarios, and delivery capabilities; it does not point to or imply any specific company, nor does it represent any company's endorsement, recommendation, or approval of me, the related services, or project outcomes.
- Enterprise ServicesPROJECT SECTORAnonymized project sector, not corresponding to any specific company
- E-commerce & RetailPROJECT SECTORAnonymized project sector, not corresponding to any specific company
- Smart ManufacturingPROJECT SECTORAnonymized project sector, not corresponding to any specific company
- Logistics & Supply ChainPROJECT SECTORAnonymized project sector, not corresponding to any specific company
- Financial ServicesPROJECT SECTORAnonymized project sector, not corresponding to any specific company
- Real Estate & SpacePROJECT SECTORAnonymized project sector, not corresponding to any specific company
- HealthcarePROJECT SECTORAnonymized project sector, not corresponding to any specific company
- Education & TrainingPROJECT SECTORAnonymized project sector, not corresponding to any specific company
- Enterprise Knowledge BaseUSE CASEAnonymized use case, not pointing to any specific client
- Intelligent Search & Q&AUSE CASEAnonymized use case, not pointing to any specific client
- Workflow AutomationUSE CASEAnonymized use case, not pointing to any specific client
- Content Production AutomationUSE CASEAnonymized use case, not pointing to any specific client
- E-commerce Product Selection AnalysisUSE CASEAnonymized use case, not pointing to any specific client
- Data Analysis & InsightsUSE CASEAnonymized use case, not pointing to any specific client
- System & Tool IntegrationUSE CASEAnonymized use case, not pointing to any specific client
- Internal Operations ToolsUSE CASEAnonymized use case, not pointing to any specific client
- Requirements AnalysisDELIVERYPublicly shareable overview of delivery capability
- Solution DesignDELIVERYPublicly shareable overview of delivery capability
- Prototype ValidationDELIVERYPublicly shareable overview of delivery capability
- Full-Stack DevelopmentDELIVERYPublicly shareable overview of delivery capability
- Agent WorkflowsDELIVERYPublicly shareable overview of delivery capability
- RAG EngineeringDELIVERYPublicly shareable overview of delivery capability
- MCP Tool IntegrationDELIVERYPublicly shareable overview of delivery capability
- Deployment & IterationDELIVERYPublicly shareable overview of delivery capability
04 SELECTED WORK Project Practice
AI APPLICATIONS / PLATFORM ENGINEERING
And also how it gets implemented.
Each case explains what problem it solves, how the system runs, where the key engineering challenges lie, and my role in the project. You can select a case directly, or use the left/right buttons to browse and find the scenario closest to yours.
Once a case is in focus, use the left/right arrow keys to switch; Home and End jump to the first and last case.
The cases below cover both independent delivery and team collaboration, showing business goals, system pipelines, key engineering work, and my scope of delivery. To protect our partners, client-sensitive materials, team member information, and unverified results are not published.
05 PROCESS How We Work
DISCOVER. PROTOTYPE. DEPLOY. ITERATE.
Then push the proven solution to production.
- 01DISCOVER Align on outcomes and boundaries Define the business outcomes to improve, the real users, the available data, and the untouchable constraints.
- 02PROTOTYPE Eliminate the biggest risk with a prototype Validate the most critical workflows and effects first, so that continuing, adjusting, or stopping is all evidence-based.
- 03DEPLOY Integrate with existing systems and go live Complete the data, permissions, exception handling, testing, and release pipelines to turn a demo into a runnable product.
- 04ITERATE Continuously optimize with real usage Improve workflows, experience, and models based on feedback, and complete documentation and team handover.
06 PHILOSOPHY My Philosophy
"Never settle for a demo — make AI actually used and running reliably in real business."
I first judge whether a scenario is worth doing, then choose a solution simple enough to validate. True delivery is more than code: it includes business adoption, data and permission boundaries, operational stability, and a long-term maintenance approach the team can take over.
07 PUBLIC LEARNING GUIDE FDE Growth Handbook
HOW TO BECOME AN FDE
Start with verifiable delivery evidence.
This public Chinese-language tutorial is for learners with programming fundamentals but zero FDE experience. It doesn't require memorizing tool lists; instead, it takes you from understanding the role and identifying skill gaps all the way through customer discovery, engineering delivery, AI evals and productionization, portfolio building, and interview preparation.
Who it's for Learners who can build small-to-medium services in at least one programming language, know Git, HTTP APIs, SQL, and basic testing, and are willing to invest 8–12 hours per week following the standard path.
- Standard Learning Path
- 20–28 weeks
- FDE Capability Matrix
- 6 dimensions
- Progressive hands-on projects
- 3 projects
- 01Understand the role Distinguish the FDE from adjacent roles and complete a target-role brief.
- 02Assess your gaps Use the six-dimension capability matrix to find your weaknesses and make a 30-day plan.
- 03Customer discovery Converge vague AI requirements into a verifiable Discovery Brief.
- 04Engineering and AI Build the data foundation, RAG baseline, evals, and MCP tool boundaries.
- 05Production delivery Complete authentication, permissions, monitoring, SLOs, rollback, drills, and handover.
- 06Turn work into evidence Organize decisions, failures, and results into portfolio and interview evidence.
CAPSTONE / Graduation Project
The tutorial provides a v0.1 project contract, design, and acceptance specifications; you need to complete a deployable, evaluable, auditable, degradable, rollback-capable, and handover-ready vertical slice yourself — not copy a ready-made business codebase.
In the end, you'll produce a Discovery Brief, versioned eval sets, a threat model, operational evidence, a runbook, and a portfolio evidence chain.
This is not a job guarantee; application requirements should still follow the target company's latest job descriptions.
08 CONTACT Start Working Together
Currently available for AI implementation collaborations
No need to write a full requirements document first — just tell me where you're stuck. Describe your business scenario, current problem, and the outcome you want to improve; existing systems, timeline, and budget can come later. You can send an email, or copy the template below and chat via WeChat.
Hello Fengyu, I'd like to discuss an AI implementation project. Business scenario and users: Current problem: Desired outcome: If convenient, you can also add: Existing data or systems (optional): Planned timeline (optional): Budget range (optional):
WeChat profile location: Västmanland, Sweden. On desktop, scan the QR code directly; on mobile, long-press to save the image, then recognize it in WeChat.