Jahnu Borah

Technology professional with 15+ years of experience across enterprise applications, PeopleSoft, Oracle databases, cloud environments and modern SaaS engineering. Hands-on experience designing and building production-oriented business applications using Flutter, Python, Node.js/Express.js and PostgreSQL, including BYNOQ, a multi-tenant restaurant operating platform spanning POS, KOT, KDS, QSR, analytics, inventory and operational workflows. Strong background in enterprise integration, APIs, databases, cloud deployment, offline-first architecture, RBAC, production support and technical leadership. Positioning for AI Solutions Architecture, GenAI application architecture, AI integration, AI automation and AI adoption roles. Targeting roles where enterprise systems, SaaS architecture, APIs, cloud platforms and modern GenAI capabilities intersect — particularly AI Solutions Architecture, GenAI integration, AI automation and enterprise AI modernization.

• BYNOQ – SaaS Restaurant Operating System, Independent Software Engineering | 2025 – Present, Designed and developed a multi-tenant restaurant SaaS platform using Flutter, Node.js/Express.js and PostgreSQL., Built POS, KOT, table/session management, feedback, loyalty, analytics, inventory and QSR workflows, Designed offline-first synchronization, role-based controls and outlet-level data isolation for unreliable-network environments., Extended the platform with KDS, token management, customer-facing token display and Kitchen Announcement System (KAS).
• BYNOQ – AI-Ready Business Platform, Product Architecture & Engineering | 2025 – Present, Built a real-world SaaS platform that can support future AI copilots and agentic workflows through APIs, structured business data, analytics and operational tools., Domain coverage includes restaurant sales, orders, inventory, customer feedback, loyalty, staff workflows, QSR operations and operational issues., Architecture provides a practical foundation for RAG, tool calling and business-process agents without requiring the AI layer to replace the existing application., Automated Trading Application, Python / Brokerage API | 2025 – Present, Developed a Python application integrated with a brokerage API, implementing configurable trading rules, automated execution logic, testing and production troubleshooting.