Full-Stack Backend & API Development for Ambitious Startups

Deepesh Kalura

Starting at

/hr

About this service

Summary

I build the production-ready backend systems that power early-stage startups. My unique strength is combining deep system architecture with a full-stack perspective, delivering complete solutions, not just code. With a foundation in Linux and modern DevOps, I ensure your product is built for speed, scale, and security from day one.

FAQs

What is your availability?
I am currently available for full-time contracts and part-time projects. My core hours are 10 AM - 10 PM IST, but I am flexible in scheduling meetings to accommodate your time zone. I'm always open to discussing smaller, well-defined gigs as well.
What is your preferred tech stack?
I am a polyglot engineer, specializing in Python (FastAPI) for AI-driven projects and Laravel/Flutter for robust full-stack applications. I build modern, serverless backends using the Node.js/JavaScript ecosystem with frameworks like Next.js and Hono. Additionally, I enjoy using Go for personal projects to build high-performance systems.
How do you handle feedback and scope changes?
I thrive on feedback. By providing a live development environment from the beginning, I make it easy for you to provide input. We'll triage all feedback together (high, medium, low priority) to ensure we are always focused on the most impactful work.

What's included

Production-Ready & Scalable Backend API
You will receive the complete source code for a secure and well-documented API, built on a scalable architecture. The deliverable includes a deployed endpoint ready for integration with your frontend or mobile application.
System Architecture & Technical Roadmap
A comprehensive technical blueprint for your product. This includes detailed architecture diagrams, database schema design, and a technology stack recommendation, ensuring your project is built on a solid foundation for future growth
Automated CI/CD & Deployment Pipeline
A fully configured continuous integration and deployment pipeline. This will automate the testing and release process for your application, enabling fast, frequent, and reliable updates with minimal manual effort

Example projects