Most freelancers can scrape a website. Or write a basic script. I build end-to-end data pipelines that don't break. You get clean, production-ready data on autopilot, without managing a team of developers. I'm a 𝗣𝘆𝘁𝗵𝗼𝗻 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴 & 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 with 7+ years building automated, high-scale extraction systems. I help businesses pull, clean, and structure web data so they can track competitors, capture leads, and run operations on data they can trust. 𝗪𝗛𝗔𝗧 𝗜 𝗖𝗔𝗡 𝗛𝗘𝗟𝗣 𝗬𝗢𝗨 𝗪𝗜𝗧𝗛 🔹 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴 & 𝗗𝗮𝘁𝗮 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 Pull data from complex, JavaScript-heavy sites, directories, marketplaces, and single-page apps. I handle anti-bot systems, Cloudflare, CAPTCHAs, custom login states, infinite scroll, and rotating residential proxies, using Scrapy, Playwright, and Selenium. 🔹 𝗘𝗧𝗟 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 & 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 Turn raw, messy data into structured pipelines. I clean, validate, normalize, and parse difficult formats, including automated large-scale PDF-to-CSV extraction, with Python and Pandas. 🔹 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆 Hand off data structured and deployment-ready. Streaming or scheduled delivery straight into CSV, Excel, Google Sheets, PostgreSQL, MySQL, MongoDB, or a custom REST API. 𝗥𝗘𝗖𝗘𝗡𝗧 𝗣𝗥𝗢𝗝𝗘𝗖𝗧 𝗛𝗜𝗚𝗛𝗟𝗜𝗚𝗛𝗧𝗦 ✓ Built extraction pipelines that convert dense, standardized PDF bundles into clean CSVs for large-scale client delivery. ✓ Developed high-frequency Scrapy and Playwright crawlers that bypass advanced anti-bot protection on heavily restricted domains. ✓ Set up scheduled automation with custom logging and retry logic that cleans and appends live web feeds around the clock. 𝗪𝗛𝗬 𝗖𝗟𝗜𝗘𝗡𝗧𝗦 𝗣𝗔𝗥𝗧𝗡𝗘𝗥 𝗪𝗜𝗧𝗛 𝗠𝗘 ✔ 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗥𝗲𝗮𝗱𝘆 𝗖𝗼𝗱𝗲: Clean, modular architecture your team can maintain after the project ends. ✔ 𝗗𝗮𝘁𝗮 𝗜𝗻𝘁𝗲𝗴𝗿𝗶𝘁𝘆 𝗙𝗶𝗿𝘀𝘁: Exception handling and structural validation, so you don't get corrupt data. ✔ 𝗧𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝘁 𝗧𝗶𝗺𝗲𝗹𝗶𝗻𝗲𝘀: Realistic delivery dates mapped to the actual technical constraints. ✔ 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 𝗙𝗼𝗰𝘂𝘀: Software that runs in the background so you can scale. Working on a project involving web scraping, data harvesting, or complex ETL? Message me with your target source and we'll scope it out.

If you're building an AI-powered product, automating a data pipeline, or replacing a manual workflow with intelligent Python systems , I've probably already solved your problem. I'm a Python backend and AI automation engineer with 4+ years and 60+ Upwork projects, all 5-star. My work lives at the intersection of FastAPI, LLM integration (OpenAI, Claude, Gemini), and production-grade automation , the kind that actually runs in the background without breaking. What I build: AI agents and autonomous workflows using LangChain, OpenAI Assistants, and custom tool-calling systems Web scraping infrastructure that bypasses anti-bot systems at scale (Scrapy, Playwright, Selenium) FastAPI/Django backends with clean architecture, deployed on AWS with Docker Data pipelines and automation systems that eliminate hours of manual work weekly Results that matter: a recommendation engine that lifted sales conversions 15%, microservices running at 99.9% uptime for 12+ months, a scraping system processing 500K+ records daily. I don't disappear after delivery. 70%+ of my clients come back for the next project , which is the metric I actually care about. Tell me what you're building. I'll tell you if I'm the right person for it.

I build Python backends and the AI features that run on them. Most of the AI work I get pulled in to fix has the same story: it was built as a demo, and it broke the first time it met production traffic, live data, or a real bill. I work the other way around — backend first, then the AI wired in properly. Backend and APIs This is the core of what I do. REST APIs in Django and FastAPI, built to handle production traffic rather than just pass a quick test. Auth with JWT and OAuth, payments through Stripe and Razorpay, PostgreSQL and MongoDB schema design and indexing, and background jobs on Celery and Redis. With third-party integrations, I handle the part most people skip: what the system does when the external service is slow, down, or returning errors. GenAI integration On the deeper end, I build agentic systems in LangChain and LangGraph: custom tools, multiple agents working together, and proper memory and context handling across a workflow, with tool calls connected to the actual backend. On the everyday end, that's chatbots, content generation, automation, and retrieval over a client's own data (RAG) where it fits. I work across OpenAI, Claude, and Gemini, and I trace LLM calls and track token spend, because in production the cost matters as much as the output. What I care about is that the AI sits on a solid system — auth, a database, error handling, retries — so it behaves like a feature, not a science project. Deployment I deploy what I build. Docker, AWS or DigitalOcean, so the work goes out live and running, not handed over as a folder of code someone else has to figure out. How I work I ask questions before I write anything, because the wrong assumption early gets expensive later. I deal with edge cases instead of hoping they won't show up. I keep the code clean enough for the next person to read, I reply quickly, and I hit the dates I commit to. Industries I've worked in: e-commerce, SaaS, education, logistics, and internal tools. If you need a backend you can rely on — a new build, a broken system that needs sorting, or AI features that have to hold up in production — send me the details and I'll tell you how I'd approach it.

I build reliable Python systems for automation, API integrations, and data-driven trading workflows designed to run cleanly under real-world constraints, not just in notebooks. What I specialize in: ⦁ Automation & Scripting – Production-grade Python automation for reports, workflows, and scheduled jobs. ⦁ API Integration – Reliable REST & WebSocket integrations for brokers, exchanges, and data providers. ⦁ Data Engineering – Ingestion, transformation, and storage pipelines using Pandas, NumPy, and SQL. ⦁ Trading Systems & Backtesting – Strategy logic, signal generation, backtests, paper trading, and PnL/risk analysis. ⦁ Internal Tools – Lightweight FastAPI or Streamlit tools for monitoring, controls, and diagnostics. How I work: ⦁ I focus on clear scope, clean execution, and practical trade-offs. Most projects start with a short discussion, paid review, or small prototype so we can validate assumptions before scaling. ⦁ I’m comfortable working on both focused tasks (debugging, optimization, API integration) and structured fixed-price projects, depending on what makes sense technically and commercially. ⦁ My goal is to deliver solutions that are reliable, understandable, and easy to extend — not quick hacks that break later.

✅ Top Rated **Python Expert | MCP Expert | RAG Expert | Full Stack Developer | AI Automation Expert** ✅ Completed 100+ projects as a **Python Expert, MCP Expert, RAG Expert, Full Stack Developer, and AI Automation Expert** with excellent client feedback ⏱️ 7000+ hours delivered with consistent 5⭐ ratings 💬 Fluent English communication 📅 Available to start immediately — Click **"INVITE"** ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ My Services as a Python Expert | MCP Expert | RAG Expert | Full Stack Developer | AI Automation Expert: ► Python Expert for backend development, scalable software solutions, APIs, automation, ETL pipelines, and enterprise applications ► Python Expert for workflow automation, browser automation, CRM automation, AI automation, and business process optimization ► MCP Expert for Model Context Protocol (MCP) server development, AI tool integrations, and enterprise AI connectivity ► MCP Expert for connecting AI agents with APIs, databases, enterprise systems, cloud services, and business applications ► RAG Expert building Retrieval-Augmented Generation (RAG) systems using LangChain, LangGraph, LlamaIndex, OpenAI, Claude, Gemini, and vector databases ► RAG Expert for AI-powered search systems, semantic search, vector search, knowledge retrieval, enterprise AI assistants, and AI chatbots ► RAG Expert for AI chatbots trained on PDFs, websites, databases, Notion, SharePoint, Confluence, and internal documentation ► RAG Expert for knowledge base development using Pinecone, ChromaDB, FAISS, Weaviate, Qdrant, and Milvus ► AI Automation Expert for AI agents using OpenAI, Claude, Gemini, DeepSeek, Llama, CrewAI, AutoGen, LangGraph, and custom AI workflows ► Full Stack Developer building modern web applications using Next.js, React, TypeScript, Tailwind CSS, Shadcn/UI, Node.js, NestJS, Express, REST APIs, PostgreSQL.

Medical imaging and healthcare backends are complex — I make them production-ready. I specialize in PACS/DICOM workflows, radiology AI pipelines, HIPAA-compliant platforms, and AI-assisted imaging pipelines for hospitals, clinics, and healthtech startups. From architecture to cloud deployment, I deliver secure, scalable systems that meet clinical standards. Beyond medical imaging, I also architect high-performance Python backends for SaaS and AI platforms — scalable APIs, microservices, and cloud deployments built for production. I specialise in FastAPI microservices for healthcare platforms — HIPAA-compliant, production-ready and clinically reliable. 🚀 What I Deliver (End-to-End Ownership) ✅ Backend & system architecture ✅ Scalable APIs and microservices ✅ Healthcare & Medical Imaging platforms (PACS / DICOM) ✅ Python backend systems for SaaS & AI platforms ✅ Cloud, Ubuntu server & on-prem deployments ✅ CI/CD, DevOps & production automation ✅ Application security & compliance-ready systems ✅ OHIF Viewer customization for radiology workflows I don't just build features — I design, deliver, and support complete production systems. 🧠 Core Technical Expertise 🏗️ Backend Development Python, Django, FastAPI REST APIs, Microservices, Docker, Kubernetes PostgreSQL, Redis, Celery, OAuth ☁️ Cloud, Deployment & DevOps AWS, Azure, GCP Ubuntu servers & on-prem hospital infrastructure CI/CD: GitHub Actions, GitLab CI, Jenkins Infrastructure as Code: Terraform, Ansible Monitoring: Prometheus, Grafana, ELK, CloudWatch 🩺 Healthcare, Medical Imaging & Radiology Radiology AI backends — PACS to diagnostic workflow integration PACS & DICOM Infrastructure (Orthanc, dcm4chee, OHIF Viewer v3) OHIF Viewer (v3) customization, Cornerstone.js, and VTK.js for 2D/3D rendering. CT, MRI, X-Ray, Ultrasound workflows AI-based image classification & triage Secure hospital ↔ cloud / on-prem connectivity AI-generated radiology & medical reports HIPAA-ready handling of PHI data Medical imaging AI pipelines (pynetdicom, pydicom) 🔐 Security & Compliance (HIPAA & ISO) Healthcare-grade application security HIPAA Compliance & ISO-aligned architectures OWASP Top 10 hardening Data encryption: AES, RSA, TLS Secure audit logs, API gateways & firewall-aware design 📊 Selected Highlights ✔ Built AI-powered PACS-integrated medical imaging platforms ✔ Delivered full-stack healthcare dashboards used in production ✔ Improved backend throughput by 40%+ ✔ Deployed systems on cloud and on-prem hospital environments ✔ Reduced deployment time by 50% using CI/CD automation ✔ Led security hardening for healthcare-grade compliance

I am a results-driven Python Developer specializing in FastAPI, Django, Flask, REST API development, AI integrations, and scalable backend systems. I build cloud-native, microservices-based applications using AWS, GCP, Docker, and Kubernetes, with strong expertise in PostgreSQL, MongoDB, and high-performance data pipelines. My work focuses on SaaS platforms, fintech systems, automation, and API integrations, delivering secure, production-ready solutions optimized for performance, scalability, and reliability. Then continue with your existing body (unchanged or slightly refined): I’ve worked on SaaS platforms, fintech systems, analytics dashboards, and API-heavy applications—handling everything from backend development to cloud deployment. My approach focuses on performance, security, and maintainability, ensuring your product is not just functional but built to scale. On the backend, I build robust RESTful APIs, optimize database performance, and implement secure authentication systems. I’m comfortable working with microservices, event-driven architectures, and third-party integrations (Stripe, Shopify, SnapTrade, etc.). I also bring experience in AI/ML integrations, data processing pipelines, and automation workflows—helping businesses leverage data effectively. Python Developer, FastAPI, Django, Flask, REST API, Backend Development, Microservices Architecture, AWS, GCP, Docker, Kubernetes, PostgreSQL, MongoDB, API Integration, SaaS Development, AI Integration, Machine Learning, Data Engineering, Automation, Cloud Computing, CI/CD, ETL Pipelines, Fintech Development, Scalable Systems

I build systems that actually ship. I'm a full-stack Python engineer with 3 years of experience building backend APIs, AI agents, and end-to-end automation pipelines for real businesses. I'm also one of a small group of engineers who works deeply within the Claude AI ecosystem not just calling the API, but building with Claude Code, designing MCP servers, seting up Claude-Cowork for businesses and deploying agentic systems that use Claude the way Anthropic intended it to be used. My current project is Whaply - a WhatsApp AI agent platform that lets businesses deploy intelligent, human-aware chatbots that automatically pause when a human agent joins the conversation. It's built on FastAPI, Supabase, and the WhatsApp Business API with multi-LLM support. I didn't just plan it I architected, built, and deployed it myself. That's how I work with clients too. --- WHAT I BUILD: Python backend systems using FastAPI — microservices, RESTful APIs, webhook integrations, OAuth authentication, and custom API wrappers built to scale. AI agents and LLM-powered tools — deep integrations with Claude (Anthropic), OpenAI, and Gemini with real decision-making logic, not just prompt wrappers. This includes building custom MCP servers that extend what Claude can do, agentic coding workflows with Claude Code, and enterprise-grade automations using Cowork and the broader Claude tooling ecosystem. Voice AI systems using Vapi and Retell AI — intelligent phone agents that handle real conversations, not just demos. Automation pipelines with n8n — connecting CRMs, databases, cloud platforms, and custom APIs into systems that run without babysitting. Full-stack applications — React or Next.js frontends backed by robust Python APIs, built for real users. --- WHAT MAKES ME DIFFERENT: I'm not a low-code freelancer who drags blocks around until something works. I write the backend, design the architecture, handle the integrations, and think about what happens when things break. On the Claude side specifically — I've built production MCP servers, shipped agentic pipelines using Claude Code, and understand the Claude API at a level most engineers don't reach. If you're building something in the Anthropic ecosystem or want to, I'm one of the few freelancers who actually lives there. I've completed 10+ contracts with a 100% Job Success Score. Every project I take on, I treat like it has my name on it — because it does. --- BEST FIT FOR: · Founders who need a technical partner, not just an executor · Businesses looking to integrate Claude AI into their products or workflows · Teams building AI-powered products that need to work in the real world · Anyone who's been burned by freelancers who disappeared after the demo If that sounds like you, let's talk.

Feedback from Upwork Client ⭐⭐⭐⭐⭐ 5.00 "Liban demonstrated exceptional attention to detail and delivered the job on time. I highly appreciate his professionalism and dedication. " 👋🏼🙂Hi there! I am a full-stack developer (Backend-heavy) with 5 years of experience in Python (Django, FastAPI) and Node.js. Skilled in frontend frameworks like React and Next.js, I build scalable and efficient web applications. Expert in AI engineering, including RAG, agents, automation, and intelligent integrations. Proficient in scripting, system design, and end-to-end solution development. Passionate about merging full-stack engineering with cutting-edge AI innovation to create impactful products. Programming Languages: ✅ Python | Java | JavaScript | TypeScript Full Stack Development Expertise: ✅ Front End Development: React | Next | Redux | TypeScript | JavaScript | Tailwind CSS ✅ Back End Development: 𝘿𝙟𝙖𝙣𝙜𝙤, 𝙁𝙡𝙖𝙨𝙠, 𝙁𝙖𝙨𝙩𝘼𝙋𝙄, and 𝙀𝙭𝙥𝙧𝙚𝙨𝙨 ✅ Databases: MySQL | PostgreSQL | MongoDB ✅ Architecture: Clean Architecture | Model-View-Controller (MVC) Web Scraping Expertise: ✅ Selenium, Scrapy, Beautiful Soup Machine Learning & Data Science : ✅ Python, Scikit-learn, Pandas ✅ TensorFlow, PyTorch, Numpy ✅ Skilled in implementing neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and other deep learning architectures ✅ Experience in natural language processing (NLP), and computer vision Why Me? ✔️ Timely and high-quality project delivery. ✔️ Strong emphasis on clean and maintainable code. ✔️ Effective communication and prompt responses. ✔️ Dedicated and hardworking approach for successful outcomes. ✔️ Passion for exploring new technologies and innovative solutions. ✔️ Expertise in a wide range of technologies. ✔️ Committed to providing value and ensuring client satisfaction. Thank you for taking the time to review my profile!

Hi, I’m Rizwan. I work as an AI Automation Engineer and LLM Specialist, and I’ve spent more than seven years building AI systems, SaaS platforms, and automation workflows for startups, small businesses, and larger companies. I help businesses save time and cut costs by automating manual tasks. I use tools like n8n, Python, and the latest language models to build reliable systems that make operations more efficient and secure. 𝐀𝐝𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥𝐥𝐲, 𝐈 𝐡𝐚𝐯𝐞 𝐞𝐱𝐭𝐞𝐧𝐬𝐢𝐯𝐞 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞, 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐢𝐧𝐠 𝐦𝐢𝐝𝐝𝐥𝐞𝐰𝐚𝐫𝐞 𝐭𝐡𝐚𝐭 𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐬 𝐄𝐇𝐑𝐬, 𝐥𝐚𝐛 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐚𝐧𝐝 𝐜𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐭𝐨𝐨𝐥𝐬 𝐮𝐬𝐢𝐧𝐠 𝐇𝐋𝟕 𝐯𝟐 𝐚𝐧𝐝 𝐅𝐇𝐈𝐑 𝐑𝟒. 𝐓𝐡𝐢𝐬 𝐞𝐧𝐬𝐮𝐫𝐞𝐬 𝐬𝐞𝐜𝐮𝐫𝐞, 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐢𝐧𝐭𝐞𝐫𝐨𝐩𝐞𝐫𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐚𝐜𝐫𝐨𝐬𝐬 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. Also, I’ve built enterprise and SaaS platforms with features like AI agents, RAG pipelines, document processing, and backend automation. I manage projects from the initial idea through launch. 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐬𝐨𝐦𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐈 𝐜𝐚𝐧 𝐛𝐮𝐢𝐥𝐝 𝐟𝐨𝐫 𝐲𝐨𝐮: • AI automation using n8n for CRM, email, lead management, and internal tools • Custom LLM solutions using OpenAI, Claude, LangChain, and RAG pipelines • AI agents and chatbots for support, data access, and workflow execution • Document AI for PDF parsing, data extraction, and reporting • Python-based backend systems using FastAPI, Django, and Flask • AI-powered SaaS MVPs with clean APIs and scalable architecture 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐬𝐭𝐚𝐜𝐤 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐡𝐢𝐫𝐞 𝐦𝐞 𝐟𝐨𝐫: • AI / LLMs: OpenAI, Claude, LangChain, vector databases (Pinecone, Weaviate, FAISS) • Modernize legacy systems into scalable architectures • Healthcare: HL7 v2, FHIR R4, Mirth Connect (OIE) • Implement healthcare integrations (HL7 v2, FHIR R4, Mirth Connect) • Enable real-time data sync across EHRs, labs, and APIs • Automation: n8n, Zapier, Make, webhooks, third-party API integrations • Backend: Python, FastAPI, Django, Flask, async APIs • Frontend (when needed): React, Next.js, TailwindCSS • Cloud-ready, scalable, and secure deployments • Industries I’ve worked with include fintech, healthcare, real estate, edtech, and B2B SaaS. 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 • Fintech & Payments • Healthcare & HealthTech • Logistics & Supply Chain • AI Platforms & Analytics • E-Commerce & SaaS • Enterprise Automation 𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐜𝐡𝐨𝐨𝐬𝐞 𝐭𝐨 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐦𝐞: • Proven experience delivering enterprise and SaaS products • Clear communication and solution-focused approach • Fast, reliable delivery without cutting corners • Long-term support and scalable system design If you’re looking for someone to help design, build, or automate AI systems for your business, let’s connect and talk about your project.