Arpit S.

I’m a Senior Python & AI Engineer with 9+ years of experience building production-ready backend systems, AI-powered applications, automation workflows, and SaaS products. I help companies turn complex business processes into reliable Python applications, APIs, AI workflows, and scalable cloud solutions. What I can help you build: * Python Backend: Django, FastAPI, Flask, REST APIs, microservices * AI & LLM Applications: OpenAI, Anthropic, Gemini, RAG, agents, tool calling, structured outputs * AI Automation: n8n, Make, Zapier, Python automation, webhooks, API orchestration * Data & Documents: Data processing, ETL, document workflows, extraction and validation * Full-Stack Applications: React, Next.js, TypeScript + Python backends * Databases: PostgreSQL, MySQL, MongoDB, Redis, Supabase * Cloud & Deployment: AWS, Docker, Kubernetes, CI/CD * Integrations: Third-party APIs, SaaS platforms, CRMs, payment systems and business workflows AI / Automation Experience: I’ve built AI-powered workflows involving LLM APIs, RAG, document processing, information retrieval, structured outputs and business-process automation. I also use Cursor and GitHub Copilot to accelerate development. I treat AI-generated code as a starting point not as something to blindly ship. Architecture, security, database changes, API contracts, edge cases and production logic are always reviewed and tested manually. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 * Python: Python 3.11 / 3.12 / 3.13, Django, FastAPI, Flask, Celery * AI/LLMs: OpenAI GPT-5.6 / GPT-4.1, Claude Sonnet 5, Gemini 3.7, Llama 4 * AI Frameworks: LangChain, LangGraph, Haystack, Transformers, Pydantic AI * Databases: PostgreSQL, MySQL, MongoDB, Redis, Supabase * Automation: n8n, Zapier, Make, Airflow, Python-based automation * APIs & Frontend: REST APIs, GraphQL, React, Next.js, Webhooks * Cloud & DevOps: AWS, GCP, Docker, Kubernetes, CI/CD, Nginx * AI/Data: RAG, Embeddings, Vector DBs, OpenAI API, Anthropic API, Gemini API, Pandas, NumPy 𝗣𝗿𝗼𝘃𝗲𝗻 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 * Delivered successful Python applications and automation solutions for real business requirements. * Reduced repetitive manual work by converting operational processes into automated workflows. * Built reliable REST APIs and backend services designed for production use and future scaling. * Improved application performance through code optimization, database tuning, and refactoring. * Integrated multiple third-party platforms, APIs, databases, and business systems into unified workflows. * Developed AI-powered features that improve document processing, information retrieval, and business automation. * Delivered projects with a focus on stability, maintainability, security, and measurable business value. 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 I start by understanding the business problem and existing system, then choose the simplest architecture that can reliably solve it. My approach is: Understand → Design → Build → Test → Deploy → Improve I value clear communication, maintainable code, practical architecture, and long-term reliability over unnecessary complexity. If you need someone who can move between Python backend engineering, AI integration, automation and full-stack development, I’d be happy to help. 𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗛𝗶𝗿𝗲 𝗠𝗲 𝗙𝗼𝗿: * Building new Python/FastAPI applications * Improving and scaling existing Python codebases * AI/LLM integration into existing products * RAG and intelligent document workflows * n8n / Make / API automation * REST API and third-party integrations * Data processing and automation pipelines * Debugging, optimization and refactoring * AWS deployment and production support * End-to-end feature ownership