Backend architecture
Designed service boundaries, API contracts, database models, and business logic for the web and mobile sales products.
AI sales assistant · Web & mobile
Xenith AI
Backend Engineer
- What it does
- An AI sales assistant that connects customer records, email, and calendars.
- My work
- Built all web and mobile backends: APIs, databases, Salesforce and Google integrations, and Azure deployment.
IN DEPTH
My contribution
Web application backend
Built the complete web backend with Node.js, TypeScript, MongoDB, and PostgreSQL for AI-powered sales automation, enterprise workflows, and real-time analytics. Also contributed to the Next.js web application.
Mobile AI Sales Assistant backend
Built the complete mobile backend with Go, MongoDB, and Redis to support the AI Sales Assistant and its sales workflows.
Enterprise workflow integrations
Implemented Salesforce, Gmail, and Google Calendar integrations within the backend to connect sales workflows with existing customer, email, and scheduling tools.
Cloud infrastructure and delivery
Deployed and managed containerized services on Azure Kubernetes Service, using Docker and Azure Key Vault as part of the delivery infrastructure.
Technology
- Go
- Node.js
- PostgreSQL
- Redis
- TypeScript
- MongoDB
- Azure
- Docker
- Azure Kubernetes Service
- Azure Key Vault
Deployment
Web: Azure Kubernetes Service (AKS), Docker, and Azure Key Vault. Mobile: AKS, Docker, and Azure.
Live product
Explore the current product website. This case study describes my work during 2024–2025.