I build Python backend systems that hold up as they grow — designed properly from the start, so you're not rebuilding them a year later when traffic or features outpace the original setup. Most backend problems aren't really about writing code. They come from decisions made early that get expensive later. I focus on getting those right: how the system is structured, how the data is modeled, where the bottlenecks will show up, and what to build now versus what to leave room for. That judgment is what separates a system that scales from one that gets rewritten. What I do: Backend & APIs — FastAPI and Django REST, built for real traffic. Versioned, well-structured APIs with proper error handling, pagination, and idempotency — not just happy-path code. Architecture & scale — Multi-tenant SaaS systems with tenant isolation and role-based access. Structuring services and data flow so the system stays maintainable as it grows, not just on day one. Data layer — PostgreSQL schema design, indexing, query optimization, and migrations without downtime. Redis for caching and queues. Async & background work — Celery, event-driven workflows, webhook handling, and retries — the parts that need to keep working when external services don't. Taking it to production — I deploy what I build: Docker, AWS/GCP, CI/CD, and monitoring. I own the system end to end, so nothing gets handed over half-finished. When a system needs it, I also cover automation — n8n, Make, Zapier, or custom Python scripts — along with payment and third-party API integrations, so you get a complete build rather than parts to stitch together. Why hire me: 70+ completed projects, $80K+ earned on Upwork, 5,500+ hours, and consistent 5-star reviews. Recent work includes a recruitment platform handling 50K+ requests/day, a multi-service exam platform, and multi-tenant SaaS systems running in production. The code is clean, documented, and maintainable, and I deliver on time. If you need a senior engineer to build a backend that stays reliable long after launch — and to make the right calls while building it — message me. Tech: Python, FastAPI, Django, PostgreSQL, Redis, Celery, Docker, AWS, GCP

I’m Waqar, a senior full-stack engineer who lives and breathes Node.js, Python, and React. Over 12 years I’ve shipped 70+ production apps and logged 3.8k Upwork hours, helping startups and enterprises launch fast, scalable products. Backend APIs & Microservices — Express/NestJS (Node) and FastAPI/Flask (Python) with PostgreSQL, MongoDB, Redis. Frontend — Modern React.js & Next.js UIs that load fast and feel smooth on every device. AI Integrations — GPT-4 chatbots, LLM workflows, and ML pipelines that add real intelligence. Cloud & DevOps — Docker, CI/CD, AWS & GCP—zero-downtime deployments, cost-optimized. I value clean architecture, thorough testing, and proactive communication across time zones. If you need a developer who can own the entire stack, infuse AI capabilities, and deliver on time—let’s talk.

Python. Django. FastAPI. AWS. 10 years building AI-integrated SaaS platforms that ship to production and stay there. 100% Job Success. Top Rated Plus. 7,000+ hours delivered. $100K+ earned on Upwork. I build the backend, wire in the AI, deploy on AWS, and keep it running. One engineer accountable for the full stack no coordination overhead, no surprises. 𝐑𝐄𝐂𝐄𝐍𝐓 𝐃𝐄𝐋𝐈𝐕𝐄𝐑𝐘 - AI sales intelligence platform (Impact Intelligence) - Python backend, LLM pipeline, real-time analytics on AWS - AI resume builder (AI-Resyme) - OpenAI API + voice features, deployed to production in 90 days - Full-stack SaaS platform - 1,029-hour sustained engagement across 2 years of continuous feature delivery - AWS-connected web application - PostgreSQL + cloud infrastructure maintained over 1,185 hours - Backend MVP for directory platform - scoped and shipped within a 30-day deadline 𝐖𝐇𝐀𝐓 𝐈 𝐁𝐔𝐈𝐋𝐃 𝐏𝐘𝐓𝐇𝐎𝐍 & 𝐀𝐈 𝐃𝐄𝐕𝐄𝐋𝐎𝐏𝐌𝐄𝐍𝐓 LLM chatbots and RAG pipelines using OpenAI, Claude, and LangChain. Document processing, AI-powered search, and intelligent workflows connected to your CRMs, APIs, and databases. Python, Django, FastAPI, Flask, Celery. 𝐒𝐀𝐀𝐒 & 𝐅𝐔𝐋𝐋-𝐒𝐓𝐀𝐂𝐊 𝐃𝐄𝐕𝐄𝐋𝐎𝐏𝐌𝐄𝐍𝐓 Full-stack SaaS platforms with Python backend and React frontend. Auth, Stripe billing, dashboards, REST APIs, and third-party integrations built from day one. I work well on existing codebases, not just greenfield projects. 𝐃𝐄𝐕𝐎𝐏𝐒 & 𝐂𝐋𝐎𝐔𝐃 AWS deployments with Docker, ECS, EC2, RDS, and S3. CI/CD pipelines for automated builds and deploys. Database architecture that scales. One engineer accountable for code, infrastructure, and uptime. 𝐓𝐄𝐂𝐇 𝐒𝐓𝐀𝐂𝐊 Backend: Python, Django, FastAPI, Flask, Celery, Redis Frontend: React, TypeScript, Next.js Cloud: AWS (ECS, EC2, RDS, S3, Lambda), Docker, CI/CD AI/LLM: OpenAI API, Claude API, LangChain, RAG pipelines, vector databases Database: PostgreSQL, MySQL, MongoDB Automation: n8n, webhook integrations, Zapier 𝐖𝐇𝐎 𝐓𝐇𝐈𝐒 𝐖𝐎𝐑𝐊𝐒 𝐁𝐄𝐒𝐓 𝐅𝐎𝐑 - Founders who need Python, AI, and AWS handled by one engineer without hiring a team - Engineering leads who need a reliable senior Python contractor for an ongoing engagement - Startups adding LLM features or RAG pipelines to an existing product - Teams that need a backend built fast and deployed correctly on AWS Send me your requirements. I will confirm scope, timeline, and fit in one conversation.

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.

A highly skilled and proficient Full Stack Developer with over 10 years of professional experience in designing and creating responsive and adaptive web applications. Experienced in leveraging HTML, CSS, PHP and JavaScript programming languages to drive design, build, test and deployment efforts for custom website solutions. Results-driven individual contributor with a successful track record in exceeding expectations for web development initiatives. • Over 8 years of experience in JavaScript technology like ReactJS, AngularJS/Angular, Express.js, MongoDB and NodeJS. • Experience building applications using JavaScript MEAN stack and MERN stack using Redux, Flux, Common.js, ExtJS and Web-Pack for Single Page Application Development. • Expertise in developing web pages using HTML5, CSS3, SASS, LESS, ES6, jQuery, AJAX, JSON and XML. • Expertise in creating user validation forms and using the RESTful services to send the data to the server. • Good knowledge on AWS Cloud formation templates and configured SQS service using API. • PHP Frameworks: Codeigniter,, Laravel, Symfony, Yii • Third Party Integration : Twillio, PayPal, Authorize.net, Amazon ( Payments, S3 ), UPS, USPS • Databases: MySQL, PostgreSQL, MongoDB • Version Control Systems: GIT, Bitbucket and SVN • Other Tools: Redis, MemCached • Operating Systems : Windows, Linux

I’m a Full Stack Developer, SaaS Developer, and Backend Developer focused on building production-ready software that performs reliably under real-world conditions. My work sits at the intersection of software development, web development, and SaaS platform engineering, with a strong backend-first mindset and deep attention to scalability, performance, and long-term maintainability. 🚀 As a Full Stack Developer, I take ownership of systems end-to-end, combining robust backend architecture with clean, modern interfaces. My frontend work is typically React-based, and I often collaborate with - or replace - traditional React developer or web developer setups by owning both the frontend and backend within a single cohesive system. As a SaaS Developer, I help companies design, build, and scale SaaS products, internal tools, and API-driven web applications intended for long-term use. My experience as both a Backend Developer and software developer allows me to think beyond individual features and focus on architecture, reliability, and operational stability from the start. Many of the platforms I build support internal teams, customer dashboards, and multi-role workflows, where permissions, data integrity, and business rules are critical. ⚙️ In my day-to-day work as a Backend Developer, I design and implement backend services, APIs, and data models that power SaaS platforms, complex web applications, and mobile-connected systems. I regularly work with Node.js and Python, drawing on my background as a Python developer to build scalable services, background jobs, and asynchronous workflows that perform reliably in production. As a Full Stack Developer, I ensure these backend systems integrate cleanly with frontend applications, mobile extensions, and third-party APIs. When required, I support frontend and mobile app developer workflows using React and React Native. This end-to-end ownership is one of the key reasons clients bring me in as a Full Stack Developer instead of splitting work across multiple roles. A significant portion of my work as a SaaS Developer and Backend Developer involves building internal platforms, dashboards, and API-first systems that integrate with external services. In these projects, I often collaborate closely with product, growth, and analytics teams, including teams focused on SaaS marketing, by designing clean data pipelines, event tracking systems, and backend logic that support experimentation, reporting, and lifecycle insights. 📊 When projects require AI-powered functionality, I bring hands-on experience integrating AI capabilities into backend systems. While my primary role remains Full Stack Developer and Backend Developer, I frequently implement AI-enabled workflows, data processing pipelines, and LLM-driven features inside SaaS platforms. This allows me, as a SaaS Developer, to deliver AI functionality that is reliable, observable, and cost-controlled, rather than experimental prototypes. 🤖 Clients typically work with me when they need: • a Full Stack Developer who can own both frontend and backend • a SaaS Developer who understands long-term scalability constraints • a Backend Developer experienced with real production systems • React developer and mobile app developer experience from a practical software developer • backend services built with Node.js or Python by an experienced Python developer • complex web applications with business workflows and rules from a senior web developer • API-driven architectures and third-party integrations • SaaS platforms designed to support growth, analytics, and SaaS marketing data needs • MVPs that can realistically evolve into long-term SaaS products A large part of my work as a Full Stack Developer, SaaS Developer, and Backend Developer focuses on: • multi-role dashboards and internal tools • authentication, authorization, and permissions • API-first backend system design • integrations with external platforms, including legacy CMS or WordPress systems when needed My core work as a Backend Developer and Full Stack Developer covers: • backend services built with Node.js and Python • APIs, background jobs, and integrations • databases such as PostgreSQL • modern stacks using tools like Supabase • AI-enabled backend features where they provide real business value I regularly work on MVP builds and early-stage products as a SaaS Developer, with a strong focus on solid backend foundations, sensible scaling paths, and avoiding short-lived prototypes. Depending on project scope and timing, I work hands-on as a Full Stack Developer, SaaS Developer, and Backend Developer, and when useful, involve specialists from my team. In the end, long-term results come from clarity and intentional system design. I focus on deliv

Most "AI" projects break the same way. The demo works, then real users arrive and the chatbot hallucinates, the agent loops forever, retrieval returns garbage, and the backend falls over. The model was never the hard part. The engineering around it is. That's what I do. I'm an AI Engineer who builds LLM-powered products that actually hold up in production, not demos that fall apart the first time a real user touches them. I've shipped an LLM diagnostic assistant for a US-based manufacturer, semantic search over a community platform, and a real-time AI scoring engine running on live data. AI that does a job, with the retrieval, grounding, and orchestration that make it reliable. 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐋𝐋𝐌 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 Autonomous and tool-using AI agents, multi-step workflows, and LLM-powered assistants that take real actions, call APIs, query your data, and make decisions. Built with function calling, tool use, and orchestration that stays controlled instead of spiraling. Powered by Claude, GPT, and open-source models. 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 Production chatbots and assistants grounded in YOUR data, customer support bots, internal copilots, and domain experts that answer accurately because they're backed by real retrieval, not guesswork. Streaming responses, memory, and conversation flows that feel natural. 𝐑𝐀𝐆 & 𝐒𝐞𝐦𝐚𝐧𝐭𝐢𝐜 𝐒𝐞𝐚𝐫𝐜𝐡 Retrieval-Augmented Generation that grounds LLM answers in your documents, manuals, and knowledge bases, so responses are accurate and traceable instead of hallucinated. Vector embeddings, semantic search, and pgvector pipelines built for relevance and speed. Plus prompt design and evaluation to keep quality measurable as you scale. 𝐀𝐈 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 & 𝐀𝐏𝐈𝐬 The production engineering most AI freelancers skip. FastAPI and Django backends, REST APIs, JWT/OAuth2 auth, async pipelines with Celery, Redis, and Kafka, and clean data models, so your AI features run fast, securely, and at scale. 𝐀𝐈 𝐒𝐚𝐚𝐒 & 𝐌𝐕𝐏 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 End-to-end AI products from idea to launch. Database design, multi-tenancy, Stripe billing, AWS and Docker deployment, and React/Next.js frontends when you want full-stack delivery. The whole foundation your AI product needs to ship fast and scale. 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: Python · FastAPI · Django · DRF | LLM Integration, AI Agents, RAG, Function Calling, Prompt Engineering | OpenAI, Claude, LangChain, Vector Embeddings, Semantic Search | PostgreSQL/pgvector, MongoDB, Redis | Celery, Kafka, WebSockets | React, Next.js | AWS, Docker, CI/CD, Stripe If you're building an AI product, a chatbot, an agent, or adding real AI to an existing app, and you want it engineered to work in production, not just in a demo, let's talk. Message me what you're building and I'll tell you exactly how I'd approach it.

This experienced software developer has been working for 10 years and specializes in Python and PHP programming languages. With a strong passion for coding and a desire to continually develop their skills, they are now looking for a part-time job opportunity. Their knowledge and experience in software development include building web applications, designing and implementing databases, debugging code, and creating automated testing scripts. They are highly motivated, detail-oriented, and a quick learner. In addition, their ability to communicate effectively in English enables them to work with global teams and take on new challenges in a diverse and dynamic environment.

Python Developer & Web Scraping Specialist 🐍 I am a Python Developer with freelance experience since 2022, focused on building automation tools, web scraping systems, and backend solutions. I specialize in extracting, processing, and structuring data from the web, as well as developing scalable scripts and services that help businesses automate workflows and collect valuable data efficiently. My work combines clean, maintainable Python code with reliable data pipelines and automation systems, allowing clients to gather structured information, monitor websites, and integrate external services through APIs. 🚀 Core Skills & Technologies • Python, HTML, CSS • FastAPI • Telethon, Aiogram • SQL, PostgreSQL, MongoDB • BeautifulSoup (BS4), Selenium 💻 My Expertise Includes 🏆 Web Scraping & Data Extraction: Selenium, Playwright, BeautifulSoup, Scrapy, Requests 🏆 API & Data Parsing: REST APIs, GraphQL, JSON, XML 🏆 Headless Browsers & Automation: Puppeteer, undetected-chromedriver, curl_cffi 🏆 Scalable Scraping Systems: Async scraping, distributed crawlers, Scrapy-Cluster 🏆 Proxy & Session Management: Residential proxies, datacenter proxies, rotating IPs, session handling 🏆 Data Storage & Processing: PostgreSQL, MongoDB, Redis, Pandas, Parquet 🏆 Task Scheduling & Queues: Celery, RabbitMQ, Apache Airflow 🏆 Cloud & Deployment: AWS Lambda, Google Cloud Platform, Docker, Kubernetes 🏆 Security & Anti-Detection: Browser spoofing, AI-powered detection avoidance 🏆 DevOps & CI/CD: Git, GitHub Actions, Jenkins, Azure DevOps I focus on building high-performance, scalable, and reliable solutions for tasks such as web scraping, automation, API integrations, and backend services. Whether you need data extraction, automated workflows, or custom Python tools, I aim to deliver clean and efficient solutions tailored to your project needs. I continuously improve my skills and stay up to date with new technologies to ensure stable, efficient, and production-ready systems for every project. 🚀

𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐋𝐋𝐌𝐬, 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐒𝐚𝐚𝐒 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 I build production-ready AI systems, automation workflows, and scalable backend architectures for startups and growing businesses. If you need more than just a prototype something reliable, secure, and built to handle real users you’re in the right place. 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐋𝐋𝐌 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 • Custom GPT-powered agents (Open-AI, Gemini) • Lang-chain / Lang-graph workflows • Retrieval-Augmented Generation (RAG) systems • Multi-step reasoning & tool-using agents • AI chat, voice, and SMS automation 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 • n8n, Zapier workflows • Twilio (SMS/Voice automation) • Stripe (subscriptions, payments, Connect) • Webhooks, API integrations, event-driven systems 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 • FastAPI, Django, Node.js (NestJS/Express) • REST & GraphQL APIs • PostgreSQL, Redis, Firebase • Secure, scalable, production-grade systems 𝐒𝐚𝐚𝐒 & 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 • Next.js, React, TypeScript, Tailwind • Dashboard & admin panel development • End-to-end SaaS architecture 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬 • AWS (EC2, Lambda, S3) • Docker & containerized deployments • CI/CD pipelines • RunPod GPU deployments 𝐑𝐞𝐜𝐞𝐧𝐭 𝐖𝐨𝐫𝐤 • AI SMS Bot – Twilio + Gemini + Stripe Connect • Slack/Discord Bot – Intelligent workflow automation • Multi-Channel Notification System – AWS-based real-time alerts • Trading Bot – Arbitrage system with fast execution logic • Healthcare Backend – HIPAA-compliant system with strong security 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐇𝐢𝐫𝐞 𝐌𝐞 • Production-first systems that don’t break under load • Clean architecture and maintainable code • Strong backend logic that handles real-world edge cases • Fast, clear communication • Full ownership from idea to deployment 𝐋𝐞𝐭’𝐬 𝐖𝐨𝐫𝐤 Have an AI idea, automation workflow, or backend system that needs to actually work? Send me a message with your project details. I typically respond within a few hours and can provide a clear scope quickly. 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬: AI automation, AI agents, LLM, GPT-4, OpenAI API, LangChain, RAG, chatbot development, generative AI, prompt engineering, n8n, Zapier, workflow automation, API integration, FastAPI, Python backend, REST API, SaaS development, AWS, and Docker,