Python Developer building backend and AI systems

Python & GenAI Engineer specializing in scalable backend systems, cloud-native applications, and AI-powered solutions. Experienced in building production-ready APIs, intelligent automation, RAG systems, and LLM-driven applications that solve real-world business problems.

Django REST Framework FastAPI, Django React Frontend
Python backend designing backend services, APIs, validation, and dependable delivery
AI engineering GenAI workflows, LLM integration, guardrails, and production-ready delivery
React frontend clean interfaces, responsive layouts, and frontend support for backend products
Arpita Vishwakarma portrait
Backend-first systems with practical delivery. Software should be maintainable, secure, and straightforward for teams to extend.

About

A backend-first profile built around Python development, AI engineering, and systems that stay easy to extend.

What I deliver

Backend-first products with Python, Django, FastAPI, and React, connected to APIs and cloud services, with GenAI added where it improves the outcome.

Backend delivery REST APIs, authentication, validation, throttling, and dependable service structure.
Platform work Redis, Celery, Docker, and CI/CD for smoother delivery and maintainable systems.
AI systems Azure AI, agentic AI, MCP, system guardrails, and orchestration patterns.
How I work Clear communication, fast learning, and disciplined delivery.

How I approach a project

Clear information architecture, dependable backend logic, readable interfaces, and enough polish to feel intentional. Default priorities: security, scalability, reliability, availability, consistency, and accuracy.

New tools matter when they improve clarity, speed, and reliability without adding unnecessary complexity.

Security first Access control, validation, safe defaults, and guardrails that reduce avoidable risk.
Scalable by design Clear boundaries, reusable services, and patterns that stay workable as the product grows.
Reliable delivery Background jobs, caching, deployment hygiene, and enough observability to trust the system.
Accurate outcomes Validation, careful data handling, and interfaces that give users a dependable result.

Core tools

A focused set of tools for backend delivery, AI orchestration, and stable deployment workflows.

Core stack

Python, Django, Django REST Framework, FastAPI, React, PostgreSQL, Redis, Celery, Docker, CI/CD, Azure AI, agentic AI, MCP, and guardrails.

Django REST Framework FAST APIs Redis Celery Docker React CI/CD Azure AI MCP .NET ASP Kafka

What matters

Technology is most valuable when it improves clarity, speed, and reliability without adding unnecessary complexity.

Fast ramp-up Clear delivery Thoughtful design Stable systems

Skills

Core strengths across Python backend development, AI engineering, React frontend work, and the operational pieces that support production systems.

Backend & APIs

Python, Django, Django REST Framework, FastAPI, validation, authentication, and API integration.

AI & Orchestration

LLM workflows, Azure AI, Azure OpenAI, RAG pipelines, agentic AI, MCP, and system guardrails.

React Frontend

Modern React interfaces, responsive layouts, component structure, and frontends that stay clean and usable.

Cloud Platforms

Microsoft Azure, Azure DevOps, AWS EC2, S3, Elastic Beanstalk, CloudWatch, Lambda, Docker, Nginx, and deployment workflows for reliability.

Data & Persistence

PostgreSQL, Redis, ORM optimization, query tuning, caching, and storage decisions that support reliability.

Contact

Open to full-time Python backend and AI engineering roles, with selective freelance collaboration when the scope is a strong fit.