Full-stack developer for production web apps—Python (FastAPI), React/Next.js, REST APIs, auth, admin dashboards, and SaaS MVPs. I also build RAG chatbots and doc Q&A with citations when you need AI in the product. Top Rated · 100% JSS · IBM AI certified · 5.0-rated $2.5k MVP delivered (FastAPI + React). Clear communication, fast delivery, maintainable code. What you get in Phase 1 (~1 week): • Scoped working milestone: core API, database, auth, and admin shell—or a RAG demo with real doc upload + cited answers • Fixed-price milestone before full build—no vague hourly drift • Clean handover: docs, repo structure, deployment notes I also help with: dashboard features, API integrations, bug fixes, ETL/automation, and scaling existing apps. Stack: Python (FastAPI), Next.js/React, PostgreSQL, Docker, AWS/Azure; OpenAI/Claude, LangChain, pgvector/Pinecone for RAG. How we work: quick scope call or async brief → Phase 1 milestone in ~1 week → iterate → production-ready handover. Share your repo, spec, or site URL and what you need built—I’ll reply with a clear plan and a fixed-price Phase 1 offer.

Your backend should help your product scale, not slow it down. I’m a Python Backend Developer specializing in AI-powered systems, FastAPI applications, Django backends, APIs, SaaS platforms, and MVP development for startups and growing businesses. I help founders and teams build scalable backend systems that are fast, maintainable, and production-ready. Whether you need an AI agent workflow, a SaaS backend, API architecture, automation system, or an MVP built from scratch, I focus on clean engineering and reliable performance. I have experience building: • AI Agents & AI-powered workflows • FastAPI and Django backend systems • REST APIs and third-party integrations • SaaS platforms and startup MVPs • Authentication, billing, and role-based systems • PostgreSQL database architecture and optimization • Cloud deployments with AWS, Docker, and CI/CD • Automation systems and async workflows I work with technologies including Python, FastAPI, Django, PostgreSQL, Redis, Docker, AWS, OpenAI, LangChain, Supabase, and modern API architectures. I also work comfortably with existing codebases. Many clients hire me to improve backend performance, refactor unstable systems, fix scaling issues, or extend already-running products without breaking existing functionality. Why clients work with me: • Clear communication and fast response time • Clean, scalable, maintainable backend architecture • Business-focused development, not just coding • Reliable delivery and long-term technical thinking • Experience working with startups, SaaS products, and AI systems If you’re building an AI product, SaaS platform, backend API, or MVP and need a developer who understands both product thinking and backend engineering, feel free to send me a message with your project details.

I build production ready Python, AI/LLM, and automation systems that solve real business problems chatbots that actually understand users, scrapers that get past anti-bot defenses, and APIs that scale from day one. 🤖 AI & LLM Development Custom chatbot development using OpenAI, LangChain, and Rasa. I build RAG pipelines, handle prompt engineering, and fine-tune models for real use cases. At Expertflow, my AI work drove a 30% performance improvement and a 25% boost in user engagement — deployed and maintained in production, not just a demo. 🕷️ Web Scraping & Data Pipelines I handle the hard stuff: Cloudflare bypass, dynamic JavaScript rendering, and sophisticated anti-bot systems. Past projects include a 250+ item Croatian grocery database and a Taobao/Weidian scraper with AI-powered product naming and image processing. ⚙️ Backend API Development (FastAPI · Flask) Scalable, well-documented REST APIs built specifically for AI-powered applications. Clean architecture, proper error handling, production-ready from day one — not a prototype that breaks under load. 📌 Recent Projects Crypto Market Intelligence Tool — real-time Twitter sentiment + price signal analysis for altcoins Reddit Community Tracker — multi-subreddit monitoring with custom analytics GPT + Google Sheets Integration — natural language querying over live spreadsheet data Why work with me: ✅ 100% Job Success Score ✅ Fast turnaround, clear async communication ✅ I scope realistically and don't overpromise If your project involves Python, AI automation, chatbots, web scraping, or API development let's talk. I will give you an honest read on scope and timeline before we start.

I build production-ready LLM chatbots and high-speed APIs that move business metrics. 15+ years in Python/FastAPI and data platforms. Led AI and backend at venture-backed and 🏅Fortune-500 products. 🏆 Launched LLM chatbot at GeoDB → new revenue vertical; deployed image generator to boost engagement. 🏆 Cut infra costs 8k→1k €/mo and halved annual budget 180k→90k by smart architecture & consolidation. 🏆 Built ETL pipelines (PyArrow/DuckDB) turning reports from days→minutes; scaled engine 1GB→4TB. 🏆 Hyperice (F500): WebSocket + FastAPI backend for group sessions → +15% engagement and $2M in subs revenue impact. What I deliver: 📦 LLM Chatbots & RAG: ChatGPT/Claude integration, LangChain/LangGraph, retrieval, tools, evals, guardrails. 📦 FastAPI Backends: Low-latency REST/WebSocket services, auth/RBAC, queues, testing, observability. 📦 Data Pipelines/ETL: Airflow jobs, PyArrow/DuckDB, PostgreSQL/MongoDB, analytics-ready models. 📦 Cost & Scale: Docker/AWS, async IO, caching, perf tuning, pragmatic infra that pays for itself. 🛠️ Stacks & keywords: Python, FastAPI, LangChain/LangGraph, OpenAI/Anthropic, RAG, Vector DBs, WebSockets, PyArrow, DuckDB, Airflow, PostgreSQL, MongoDB, AWS, Docker. How we start (low-risk): 🟢 48-hour Diagnostic – clarify use-cases, data, and constraints; mini-POC or architecture plan. 🟢 Milestone Plan – delivery roadmap with success metrics (latency, CTR, retention, cost). 🟢 Build & Ship – iterative releases with tests, dashboards, and handover docs. Results I optimize for: faster CX, higher conversion/retention, lower infra cost, clear analytics. 👉 Ready to move from idea to impact? Invite me with 2–3 lines about your users and goal. I’ll propose a concrete plan and timeline.

I build production-ready SaaS platforms and AI-powered systems that launch in weeks and scale for years without the technical debt that forces expensive rewrites later. Most developers optimize for speed OR quality. I engineer both. With 6+ years shipping SaaS products, I know exactly what to build now versus what to architect for growth. ⚡ My Approach: Launch Fast, Scale Smart: No over-engineered MVPs with features you don't need. No shortcuts that create problems in 6 months. Every project gets clean architecture, proper security, and infrastructure designed to grow delivered fast. 🛠 What I Build: - SaaS Platforms & MVP Development - React, Next.js, TypeScript, Tailwind | Node.js, NestJS, Python, FastAPI - Multi-tenant architecture • Stripe billing • Auth & RBAC • Admin dashboards - REST & GraphQL APIs • Real-time WebSockets • Microservices Cloud Infrastructure & DevOps: - AWS (Lambda, EC2, S3, RDS, CloudFront) | Docker, Kubernetes, Terraform - CI/CD pipelines • Auto-scaling • Cost optimization • Monitoring - PostgreSQL, MongoDB, Redis performance tuning AI-Powered Applications & Automation: - OpenAI (ChatGPT), Claude, Gemini | LangChain, LlamaIndex, RAG systems - Vector databases (Pinecone, Weaviate, Chroma) • AI agents • Chatbots - N8N, Zapier, Make workflows • Voice agents (Vapi, ElevenLabs) - Document processing • Embeddings • Intelligent automation 📊 Track Record: - 50+ SaaS platforms delivered from zero to production - 15+ MVPs launched in 2-6 weeks with paying customers - Multi-tenant systems serving 5,000+ daily active users - AI automation saving clients 100+ hours/week - Cloud costs reduced by up to 40% through optimization - 98% on-time delivery with 5-star feedback ✅ What You Get: → MVP Launch in 2-6 Weeks (realistic timelines, no false promises) → Production-Ready Code (clean, tested, documented, scalable) → End-to-End Ownership (architecture → deployment → monitoring) → Scalability Built In (grows without expensive rewrites) → Clear Communication (daily updates, transparent milestones) → Post-Launch Support (I stick around for critical early months) 🎯 Best Fit For: ✓ Non-technical founders launching their first SaaS ✓ Startups adding AI features to existing products ✓ Companies migrating from no-code to custom solutions ✓ Teams needing senior technical leadership + execution ✓ Businesses scaling from MVP to Series A Not Ideal For: ✗ I work best with clients who value quality, clarity, and realistic timelines. ✗ Constantly changing scope or unclear requirements ✗ Unrealistic timeline expectations 💡 Why Clients Choose Me I treat your product like it's mine, my reputation depends on your success. I challenge requirements that don't serve users, suggest features you haven't considered, and give you honest timelines even when it's not what you want to hear. You get a technical partner focused on outcomes, not just closing tasks. 📩 Let's Talk Send me your product vision, requirements, or existing codebase. I'll respond within 24 hours with: - Technical approach and architecture recommendations - Realistic timeline with clear milestones - Transparent pricing breakdown No sales pitch. Just honest technical guidance.

I help startups and businesses build production-grade AI products, high-performance FastAPI backends, and scalable SaaS platforms. Unlike freelancers focused only on prototypes or no-code automations, I specialize in engineering robust systems that are built for real-world scale, performance, and long-term maintainability. With 5+ years of software engineering experience and 1500+ hours delivered on Upwork, I build solutions that combine AI innovation with strong backend architecture. My core strength is building robust backend systems using **FastAPI**, combined with modern AI capabilities and scalable cloud infrastructure. What I Build AI / GenAI Applications 🔹 LLM-powered applications and AI copilots 🔹 RAG systems and knowledge assistants 🔹 AI agents and agentic workflows 🔹 Intelligent automation systems 🔹 Chatbots and internal AI tools 🔹 Document processing, extraction, summarization 🔹 Multi-model AI integrations (OpenAI, Claude, Gemini) FastAPI Backend Engineering (Core Expertise) 🔹 High-performance REST APIs 🔹 Async architecture and concurrent processing 🔹 Background jobs and task queues 🔹 Scalable microservices 🔹 Authentication / Authorization / RBAC 🔹 WebSockets and real-time systems 🔹 API performance optimization and refactoring 🔹 Clean architecture and production-ready code FastAPI is my strongest backend framework, and I use it to build systems optimized for speed, scalability, and maintainability. Full-Stack SaaS Development 🔹 End-to-end SaaS product development 🔹 Admin dashboards and business tools 🔹 Secure multi-tenant platforms 🔹 Internal workflow systems 🔹 Scalable frontend + backend architecture MERN Stack Development 🔹 React.js / Next.js frontend development 🔹 Node.js / Express APIs 🔹 MongoDB data modeling 🔹 TypeScript-based scalable applications 🔹 Responsive UI and modern web apps Core Tech Stack Languages Python • JavaScript • TypeScript • SQL Backend FastAPI • Django • Flask • Node.js • Express.js Frontend React.js • Next.js • MERN Stack • Redux • HTML/CSS AI / LLM Stack OpenAI • Claude • Gemini • RAG • LangChain • AI Agents • Vector Databases Databases PostgreSQL • MySQL • MongoDB • Redis Cloud / DevOps AWS • Docker • CI/CD • GitHub Actions • Linux • GCP Selected Work ▪ Built scalable FastAPI backends for SaaS and enterprise systems ▪ Developed AI-powered products with intelligent workflows ▪ Architected APIs handling complex business operations ▪ Designed secure multi-tenant systems with role-based access ▪ Integrated GenAI capabilities into production applications Why Clients Hire Me ✔ Strong FastAPI and backend engineering expertise ✔ Deep understanding of scalable architecture ✔ Full-stack capability from frontend to cloud ✔ Production-grade AI implementation experience ✔ Clean code, reliability, and strong communication How I Can Help Whether you need an AI-powered product, a scalable FastAPI backend, a MERN application, or a complete SaaS platform, I can help architect and build the right solution. If you’re looking for an engineer who understands both modern AI systems and production software engineering, let’s connect.

✅ Top 1% Full-Stack Developer on Upwork ✅ Python Full Stack Developer | SaaS, MVP's & AI Web Developer ✅ 100+ AI Agents and Automation Workflows Delivered I’m a Full-Stack Developer specializing in Python Full Stack Development, Next.js, SaaS Development and AI-powered web application development. I leverage modern AI-assisted development workflows using tools like Cursor, Claude, and OpenAI so what traditionally takes weeks ships in days. I work with founders and product teams who need a Full-Stack Developer that actually understands the product. Over the past 8+ years I have engineered Python-powered SaaS platforms, AI web apps and multi-agent systems for fintech, healthcare, e-commerce, real estate, EdTech and B2B startups. 💻 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 As a Python Full Stack Developer I work across: Frontend: Next.js, React, TypeScript Backend: Python, FastAPI, Django AI/ML: LangChain, LangGraph, OpenAI, Claude, Gemini Databases: PostgreSQL, MongoDB, Redis, Pinecone, ChromaDB APIs: REST, GraphQL, webhooks, real-time systems Cloud: Docker, CI/CD, AWS, GCP, Vercel My work as a Python Developer and Full-Stack Developer focuses on creating SaaS products, AI applications and web platforms that are maintainable and ready to grow. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿: ✔️ Python SaaS Platforms & MVPs End-to-end SaaS development from architecture to deployment. Clean Python backend, proper data models, built to scale beyond MVP without rewrites. ✔️ AI Web Apps & LLM Integrations Full-stack AI web applications built on OpenAI, Claude and Gemini APIs document intelligence, content pipelines, conversational interfaces and AI-assisted workflow tools. ✔️ RAG Systems & Knowledge Search LLM applications with LangChain and vector databases (Pinecone, ChromaDB, Weaviate) that deliver accurate, context-aware answers from private data without hallucinating. ✔️ AI Agents & MCP Systems Multi-agent workflows using LangChain and LangGraph, Model Context Protocol (MCP) integrations, and autonomous Python systems that handle business logic and reduce manual ops work. ✔️ AI Integrated Into Existing Products Adding AI features and Python backend improvements into live SaaS platforms without breaking what's already working. 📍If your goal is to achieve a production-ready AI system, SaaS or MVP in weeks, not months, let’s schedule a 𝗙𝗿𝗲𝗲 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻.

I build production-ready AI and Python backend systems for SaaS, healthcare, fintech, and data-heavy products, including LLM applications, RAG pipelines, FastAPI backends, AI copilots, voice AI workflows, and secure API integrations. I am a Python AI Backend Engineer with 13,000+ Upwork hours, $300K+ earned, 100% Job Success, and Top Rated Plus status. My work is focused on building AI systems that are not just impressive in a demo, but stable, secure, and useful in real production environments. My core work includes: - LLM applications using OpenAI, Claude, Gemini, LangChain, LangGraph, and LlamaIndex - RAG systems using vector databases like Pinecone, pgvector, Qdrant, or Weaviate - Python backend development with FastAPI, Django, Flask, PostgreSQL, and AWS - AI copilots, chatbots, internal assistants, and workflow automation tools - Voice AI systems using Whisper, Twilio, speech-to-text, and real-time backend workflows - Healthcare AI workflows, clinical assistants, medical data handling, EMR/EHR-related integrations - FinTech & data-heavy SaaS platforms involving analytics, reporting, automation, and secure APIs - Authentication, RBAC, logging, background jobs, API architecture, and scalable cloud deployment A lot of AI projects fail because the backend, data flow, permissions, evaluation logic, and integrations are not designed properly. I focus on those parts early so the system can grow without needing to be rebuilt later. I am a good fit if you need someone who can: 1) Turn an AI idea into a practical technical architecture 2) Build a secure Python/FastAPI backend for your AI or SaaS product 3) Design RAG pipelines around real business, medical, or financial data 4) Integrate AI into an existing healthcare, fintech, or SaaS platform 5) Improve an unstable AI prototype and make it production-ready 6) Work directly with your team and communicate clearly without overcomplicating things If you’re building an AI product and want it done properly, I’d be happy to review your requirements and suggest the best technical direction.

I help teams build and improve Python backends for SaaS products and growing platforms, whether that means starting an MVP from scratch, integrating AI capabilities, or improving an existing production system. Most of my work involves owning backend systems: reviewing code, fixing performance issues, migrating services, designing scalable APIs, and making sure applications stay stable as they grow. I mainly work with Python, Django, FastAPI, Flask, and AWS, while selecting the right architecture and tools based on the actual business problem and computer vision solutions for image processing, detection, and AI-based analysis and AI/ML integrations including LLM applications, RAG pipelines, NLP systems, and intelligent automation. Moreover, I have been working as a Python developer for 8+ years, supporting real production systems across different industries. I’m comfortable building new features, cleaning up legacy code, integrating AI/ML solutions, and handling the important engineering work that keeps systems reliable. What I usually work on: Python backends using Django, FastAPI, and Flask SaaS platforms & MVPs (early builds → production) Microservice migrations and backend restructuring REST API development and third-party integrations Code reviews, refactoring, and performance optimization Databases like PostgreSQL, MySQL, and MongoDB Background jobs with Celery, Redis, and RabbitMQ Deployments and scaling on AWS AI/ML integrations including LLM applications, RAG pipelines, NLP systems, and intelligent automation Computer Vision solutions for image processing, detection, and AI-based analysis Key Projects: Touringery: Multilingual tour booking APIs → improved booking throughput by 50%. Moeving EV: Fleet tracking microservices → real-time data processing for 500+ vehicles. Kera Health: Healthcare backend handling patient data, appointments, and AI-powered diagnostics. Healthcare AI Diagnostics: Integrated ML models for automated patient reporting and intelligent insights. AI Chatbots & NLP Systems: Built LLM-powered conversational solutions, knowledge retrieval systems, and AI automation workflows. I work well independently or with a team, communicate clearly, and take ownership of the backend and AI systems I build. I’m available 40+ hours per week and can overlap with US and European time zones. If you’re looking for someone who can step into your backend, improve your systems, and build scalable AI-powered solutions, "just click Invite" I usually reply within a few hours. Keywords: Python Backend Developer | Django Developer | FastAPI Developer | Flask Developer | REST API Development | SaaS Backend Development | Microservices Architecture | Async Programming | Celery | Redis | RabbitMQ | PostgreSQL | MySQL | MongoDB | Docker | Kubernetes | AWS | Cloud Deployment | TDD | CI/CD | High-Performance Systems | Production-Ready Backend | Scalable Backend Solutions | Legacy System Modernization | AI Backend Integration | Machine Learning Engineer | NLP | LLM Integration | RAG | Retrieval Augmented Generation | Vector Databases | AI Agents | Chatbots | Computer Vision | Image Processing | ML Pipeline | Predictive Analytics | AI-Powered Automation | Long-Term Projects

AI chatbot and RAG developer. 6 projects delivered, 5 five-star reviews. Live demo: prime-care-sit.vercel.app , RAG chatbot trained on business documents with lead capture and admin panel. Built with OpenAI API, LangChain, Pinecone, Supabase pgvector. Next.js, FastAPI, React. 100% Job Success, Top Rated. Here's what my clients say: "Shiza did an excellent job. She is quick and smart with her work. Lightning speed work. Highly impressed and recommended." "She is reliable, fast, and understands business logic well. She doesn't just code but thinks through practical use cases and suggests better workflows." "Shiza is an outstanding professional with exceptional technical skill and excellent communication. She delivered the work to the highest possible standard." WHAT I BUILD AI Chatbots & RAG Systems Chatbots trained on your business data using RAG (retrieval augmented generation). Upload documents, the AI answers only from your content. Lead capture, intent detection, embeddable widgets. Built with OpenAI API, LangChain, Pinecone, and Supabase pgvector. Document Processing & Data Extraction PDF parsing, OCR, invoice processing, structured data output from messy inputs. Built an AI invoice management system that processes PDFs and automates reconciliation for a real business. Full-Stack Web Applications React/Next.js frontend, FastAPI or NestJS backend, PostgreSQL/Firebase/Supabase database. Authentication, dashboards, admin panels, role-based access. Clean architecture that other developers can extend. RECENT PROJECTS RAG AI Chatbot + Lead Capture (5-star review) Embeddable chatbot widget trained on business documents. Lead capture with buying-intent detection, email notifications with conversation context, admin panel for managing docs and viewing leads. Live at prime-care-sit.vercel.app AI Chatbot with OpenAI and Flowise (5-star review) Custom AI chatbot for a client's website. Trained on business content, responsive design, integrated with existing systems. AI Invoice Management System Processes PDF invoices, extracts structured data, automates reconciliation, generates business reports. FastAPI backend, Next.js frontend. AI Inventory Chatbot Natural language queries against a database. Users ask "show me low stock items" and get structured answers. Dynamic SQL generation with LangChain. Built both web (React) and mobile (Flutter) versions. RAG Pipeline for LMS Document ingestion, text chunking, OpenAI embeddings, Pinecone vector storage for semantic search across large document sets. TECH STACK Frontend: React, Next.js, Tailwind CSS Backend: Python (FastAPI, Django), Node.js, NestJS AI/LLM: OpenAI API, LangChain, RAG pipelines Vector DB: Pinecone, Supabase pgvector, ChromaDB Database: PostgreSQL, Firebase, Supabase Mobile: Flutter (iOS + Android) DevOps: Docker, AWS, Vercel BS in Artificial Intelligence, National University of Modern Languages.