Python Engineer building reliable systems

Around four years of experience in tech, mostly with Python. Backend systems, AI-enabled workflows, and interfaces that stay clear, maintainable, and production-ready.

Django REST Framework FastAPI, Flask APIs React, React Native
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Python backend development, APIs, validation, and dependable delivery
Fast learner I ramp up quickly and apply new tools with discipline
AI + Cloud Azure cloud, Azure AI, agentic AI, MCP, guardrails, CI/CD, and orchestration
Arpita Vishwakarma portrait
Dependable systems with steady execution. Software should be maintainable, user-friendly, and straightforward for teams to extend.
Portfolio overview

Experience focused on backend delivery, AI workflows, and reliable execution.

This section outlines the work, focus areas, and engineering approach I bring to product delivery.

Portfolio Overview Engineering focus
Learning mindset

New technologies are adopted quickly and used with discipline.

The focus stays on the right tools, clear structure, and solutions that remain understandable over time.

Curious Structured delivery Easy to maintain
Delivery approach

Practical work that people can rely on.

Clear requirements, dependable implementation, and results that support the end user.

Collaboration Security Reliability

About

A backend-first profile shaped by product delivery, AI integration, and systems that stay easy to evolve.

What I build

Backend-first products with Python, Django, FastAPI, and Flask, connected to APIs and cloud services, with automation and AI added where they improve 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 more maintainable systems.
AI systems Azure cloud, 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, robustness, availability, consistency, and accuracy.

New tools matter when they reduce complexity, support the product, and stay easy to maintain and trust.

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, Flask APIs, React, React Native, PostgreSQL, Redis, Celery, Docker, CI/CD, Azure cloud, Azure AI, agentic AI, MCP, and guardrails.

Redis Celery Docker React React Native CI/CD Azure AI MCP

What drives the work

New technology is most valuable when it creates clearer workflows, stronger systems, and a better user experience.

Fast ramp-up Clear delivery Thoughtful design Stable systems

Skills

Strong work sits at the intersection of backend engineering, AI orchestration, operational reliability, and product presentation.

Backend & APIs

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

AI & Orchestration

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

Scraping & Automation

Requests, Selenium, BeautifulSoup, structured extraction, automation, and cleanup pipelines.

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.

Frontend & Mobile

HTML, CSS, JavaScript, React, React Native, responsive layouts, and interfaces that stay clear on mobile and desktop.

Selected Work

A focused set of projects that reflect a backend-first approach and attention to how each system will be used.

Project focus

These examples show Python backend work, authentication, AI-assisted processing, and API integration without unnecessary complexity.

FR and EN translation project preview
NLP / Transformers / Hugging Face

Bidirectional Translator

An NLP translation workflow with voice input and model-driven output, designed for clarity.

Python NLP Transformers
Secure login system
Django / Auth / Security

Secure Login System

A Django authentication flow that brings together user handling, access control, and core production features.

Django Auth OAuth
LLM invoice extractor project
AI / LLM / Validation

LLM Invoice Extractor

An AI-powered backend for invoice extraction, structured outputs, validation, and processing across document formats.

Azure OpenAI RAG Automation
Unified payments gateway project
APIs / Payments / Integration

Unified Payments Gateway

Payment orchestration across multiple checkout methods with validation, integration logic, and clean API flow control.

Payments Flask API Design

Contact

Open to full-time roles and freelance collaboration. If there is a fit, happy to discuss details further.