Hein Pienaar@hein_pienaar50632
1
Events attended
1
Submissions made
United States
6+ years of experience
About me
Software Engineer with 5+ years of experience building production business applications, backend systems, REST APIs, and enterprise integrations across ERP, finance, insurance, and resource management domains. My main stack is Ruby on Rails, PostgreSQL, SQL, REST APIs, and business workflow automation, with additional experience in C#, .NET, SQL Server, JavaScript, React, Docker, Kubernetes, Azure, and CI/CD. I am also building OrdoFlow, an API-first SaaS platform focused on quote-to-cash workflow automation, billing, recurring processes, and accounting/ERP integration readiness. I use AI-assisted tools such as Cursor AI and ChatGPT to support development, debugging, documentation, testing, and faster product iteration while personally reviewing and validating final implementation decisions.
🤓 Latest Submissions
OrdoFlow — AI Quote-to-Cash Copilot (AMD Track 1)
OrdoFlow is an operations platform for quote-to-cash: quotes, follow-ups, invoicing, payments, and accounting handoffs. Teams lose time deciding what to do next and how to word customer updates—especially when data spans CRM, ERP, accounting, and payment tools. For the AMD Developer Hackathon we ship an agentic workflow on the quote detail screen: the AI Quote-to-Cash Copilot. It produces a concise operational summary, highlights risk flags, ranks next actions, and supports customer-ready messaging. The design keeps a deterministic “source of truth” workflow while allowing optional natural-language enrichment behind feature flags, documented for OpenAI-compatible inference (including vLLM-style serving on AMD cloud GPUs / ROCm) via a small LangChain + LangGraph sidecar. The live demo runs on a hosted environment (Render) so judges can click through a real quote and use “Get AI next-step plan.” A separate public repository contains hackathon-safe overview materials (architecture notes, sample payloads, screenshots placeholders) without exposing production code or secrets. Target users are sales and operations teams managing B2B quotes and collections. The outcome is faster, clearer quote handling with fewer stalled follow-ups—aligned with Track 1 (AI agents & agentic workflows) and AMD’s cloud GPU story for optional model serving.
10 May 2026
