Projects using Python in EdisonProjects using Python in EdisonAI-Powered SaaS Platform
This is a production-grade, AI-powered SaaS platform built for creative professionals, offering advanced tools for image generation, video creation, audio synthesis, and experimental AI workflows. The project involved a complete redesign and rebuild of the existing platform, transforming it into an enterprise-ready product focused on performance, scalability, usability, and a premium user experience.
The platform was rebuilt from the ground up with 20+ major features and a codebase exceeding 300,000 lines. It includes a premium animated loading experience and a dynamic video banner system powered by Next Engine, featuring auto-cycling content, smooth transitions, and persistent promotional timers managed through Claude Storage.
One of the platform’s standout features is the Featured Blueprints system, which showcases professional AI templates in a horizontal gallery with portrait-style cards, gradient overlays, and polished hover interactions. The dashboard also includes video-based guides and a high-performance Community Creations Gallery, featuring mixed-aspect-ratio masonry layouts, infinite scrolling, real-time likes, and advanced filtering.
A fully featured Creation Detail Popup provides an immersive way to explore generated content, with zoom and pan controls, keyboard and touch navigation, sharing and download options, and detailed generation metadata. The platform also includes real-time credit tracking powered by Firebase listeners, ensuring users see their available credits update instantly across the entire application. Building the technical foundation for Otonix, an AI-native IT Operations Platform
I worked on the engineering side of Otonix, an autonomous IT operations platform built on agent-first, task-specific AI agents that monitor, triage, remediate, and escalate IT operations, instead of a chatbot bolted onto legacy RMM/PSA tooling.
What the build involved:
🔹 Architecting the platform around four core agent capabilities: Monitor, Triage, Remediate, and Escalate.
🔹 Building the policy-guardrail layer that constrains automated actions and gates anything touching regulated systems or irreversible changes.
🔹 Implementing the audit trail: a signed, searchable, exportable log of every agent decision and action.
🔹 Working with a signal-ingestion pipeline (endpoints, servers, network, IoT) feeding into the triage/remediation flow.
Python/FastAPI, Node.js, React, PostgreSQL, Docker, n8n, Kubernetes
I build backend systems and full-stack platforms for technical products. Especially where reliability, auditability, and guardrails matter as much as the automation itself. If you're building something in a similar space, let's talk.
📩 mosesmorrisdev@gmail.com | github.com/Moses-Morris