SaaS · Artificial Intelligence · Founder
ResolveMeQ
ResolveMeQ automates IT-helpdesk ticket triage and resolution. It's architected as a modular, service-oriented system so the AI workload, the core business logic, and the client can each be built, deployed, and scaled independently.
Tech stack
Engineering highlights
My contributions
Designed the architecture up front as a modular, service-oriented system, separating the Django core API, a FastAPI AI service, and the React client into independently deployable services, keeping AI workloads isolated and each piece free to scale on its own.
Built the Django backend and REST API with authentication, authorization, subscription billing via DODO Payments, and the core business logic, backed by a normalized PostgreSQL schema with indexing and query tuning for ticket and workflow data.
Designed and deployed the FastAPI AI microservices that analyze, triage, and resolve support tickets, orchestrating the multi-step AI workflow behind automated resolution at production latency.
Developed the React application, including operator dashboards built around real support-team workflows and a reusable component library, alongside SEO-focused Next.js marketing pages.
Deployed the platform to the cloud with environment configuration, monitoring, and CI, and continue to handle releases, performance tuning, and maintenance. Currently in beta with early adopters, with pitch materials prepared for a pre-seed raise.