I am an AI-focused Full-Stack Developer with expertise in Python, scalable architectures, and enterprise-grade automation solutions, backed by 6+ years of experience building scalable web applications, AI-powered platforms, automation systems, and cloud-native solutions for startups and enterprises. I help businesses automate workflows, build intelligent AI systems, develop scalable SaaS platforms, and launch production-ready applications faster with clean architecture and performance-focused development. I specialize in combining AI, backend engineering, data workflows, and modern frontend technologies to create reliable, scalable, and business-driven solutions. What I Bring to Your Project - End-to-end product development- from architecture to deployment - AI-powered applications and intelligent automation systems - Scalable backend APIs and microservices - Modern, responsive frontend applications - Cloud deployment, DevOps, and performance optimization - Clean, maintainable, production-ready code - Fast communication and reliable delivery Core Expertise: 1. Python Backend Development - FastAPI, Django, Flask - REST APIs & Webhooks - Microservices Architecture - Authentication & Secure Backend Systems - API Integrations & Third-Party Services - Automation Scripts & Backend Optimization - Scalable System Design 2. Data Engineering & Data Processing - ETL Pipelines & Data Automation - Data Processing & Transformation - Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS) - PostgreSQL, MongoDB, DynamoDB - Workflow Automation & Data Synchronization - Intelligent Document Processing - Semantic Retrieval Systems 3. Front End Development - React, Next.js, Vue.js - TypeScript & JavaScript (ES6+) - Responsive UI/UX Development - Frontend Performance Optimization - API Integration & State Management 4. AI Engineering & Generative AI - GPT-4, OpenAI, Claude, Gemini, LLaMA, Mistral integrations - AI Agents & Autonomous Workflows - LangChain, LangGraph, AutoGen - Conversational AI & AI Chatbots 5. AI SaaS Development: - RAG (Retrieval-Augmented Generation) - AI Voice Agents & Real-time AI Systems - Semantic Search & Vector Databases - AI Automation & Intelligent Workflows - Text Processing, Summarization & Data Extraction 6. Cloud & DevOps: - AWS (EC2, Lambda, S3, CloudFront, DynamoDB) - Docker & CI/CD Pipelines - Serverless Applications - Deployment Automation - Scalable Cloud Architecture AI Tools & Technologies: Vector Databases: Pinecone, ChromaDB, Weaviate, FAISS AI & LLMs: OpenAI, GPT-4, Claude, Gemini, LLaMA, Mistral AI Frameworks: LangChain, LangGraph, AutoGen, PyTorch, TensorFlow Automation: n8n, Make, Zapier, Airtable, Notion Voice AI: Twilio, Deepgram, ElevenLabs, VAPI, Cartesia Proven Track Record: $100K+ Earnings on Upwork 5,400+ Hours Worked 60+ Successful Projects Delivered Long-Term Client Relationships I focus on building scalable, reliable, and AI-driven solutions that create real business impact. If you’re looking for a developer who understands both engineering and business needs, I would be happy to help bring your project to life.

Python Developer with 6+ years of experience building scalable backend systems, SaaS platforms, automation workflows, and AI-powered applications using python Django and modern Python development practices. ⬩ Why clients work with me: - 6+ years of Python development experience - Strong scalable backend architecture expertise - SaaS, marketplace and MVP platform experience - Clear communication and structured collaboration - Accountable for outcomes, not just code delivery - Production-ready AI + backend integrations - Long-term technical partnership mindset - Detail-oriented and committed to quality I help startups and growing businesses transform complex backend logic into fast, secure, and maintainable systems tailored for real-world products like marketplaces, CRMs, client portals, job boards, analytics platforms, and AI-driven tools. As a Fullstack Python developer, I contributed to marketplace platforms, AI-powered semantic search systems, real estate and EV comparison MVPs, loan management applications, and B2B SaaS products, focusing on clean architecture and long-term scalability. ⬩ Python backend expertise I specialize in Python Django and FastAPI backend development with PostgreSQL, Redis, and Celery, delivering production-grade solutions as a Python developer focused on scalable python development. From REST APIs and OAuth authentication flows to background workers and multi-user permission systems, I design robust backend architectures that support real growth. Whether building a B2B marketplace, SaaS MVP, or internal business platform, I approach development in a collaborative and solution-oriented way, focusing on clarity, scalability, and maintainability. ⬩ Automation and data workflows Need a system to parse thousands of PDFs, scrape e-commerce products, or monitor websites in real time? As a Python developer, I build custom scraping scripts using BeautifulSoup, Scrapy, and Selenium, paired with automation logic and APIs to feed your business engine. ⬩ AI-powered systems (LangChain + OpenAI) As a backend-focused LLM developer, I build intelligent assistants and AI-powered features using LangChain, FAISS, OpenAI, and RAG pipelines. I worked on AI-powered product catalog processing and semantic search systems, integrating LLM workflows into structured backend APIs with production stability in mind. ⬩ Architecture and deployment From scalable SaaS platforms to marketplace infrastructure, I design systems using Docker, CI/CD, and cloud deployments (AWS, Railway, Render). My work follows backend best practices, including clean architecture, modular design, security-first implementation, database optimization, and performance tuning. I prioritize reliability, clarity, and professional execution throughout every phase of a project. ⬩ What I can do for you: - Custom Django/FastAPI backends with clean architecture - REST API design and 3rd-party API integrations (Stripe, OpenAI, Twilio) - Automated scrapers, parsers, and ETL pipelines - AI and LLM integration (LangChain, Pinecone, OpenAI API, Vector DBs) - PostgreSQL schema design and query optimization - Backend architecture for CRMs, marketplaces, analytics platforms - Infrastructure setup with Docker, GitHub Actions, AWS, Railway - Post-delivery support and long-term collaboration ⬩ Technologies I work with: Python, Django, FastAPI, Flask, PostgreSQL, Redis, Docker, LLMs, LangChain, OpenAI, API, Web Scraping, BeautifulSoup, Celery, PDF/DOCX Parsing, Vector Search, CI/CD, AWS, ETL Pipelines, RAG Let’s build something that makes decisions, not noise. ⚙️ A Python developer building backend systems in production environments. A Python developer supporting SaaS platforms, automation tools, and customer-facing web applications. As a Python developer, I focus on API design, clean architecture, and scalable implementation. A Python developer delivering structured backend solutions with Django and PostgreSQL. A Python developer building FastAPI services, automation scripts, and data workflows. A Python developer web scraping specialist creating reliable data extraction systems and scalable pipelines. This Python developer profile supports long-term and multi-phase engagements. A Python developer suited for ongoing backend maintenance and system evolution. Teams work with me to maintain stability and reduce technical risk. If you’re looking for a Python developer to build or scale your backend, send me a message or book a call. ✉︎

I build production backends and scrapers that stay stable under load. I have migrated legacy systems, scaled APIs beyond 3,000 active users and 7M+ records, and built async data pipelines that process about 35,000 businesses in 9 minutes for roughly $0.25 in compute. I also build custom scrapers and crawling pipelines that turn dynamic and protected websites into structured data. If you need someone who owns the backend and reliably extracts data from the web, I focus on performance, failure cases, anti bot systems, and cost from day one. What I do, backend and APIs: • Design and build REST APIs with FastAPI and Django, sync and async • Architect microservices and background processing with Celery, Redis, Kafka, RabbitMQ • Implement secure authentication with JWT, OAuth2, Argon2id, Supabase Auth, and role based access • Optimize databases with PostgreSQL, SQLAlchemy, Supabase, Redis caching, and query tuning • Integrate payments and webhooks with Stripe and other providers • Deliver clean, tested, maintainable code What I do, web scraping and automation: • Build Python scrapers with requests, BeautifulSoup, Selenium, Playwright, Scrapy, undetected chromedriver, proxy rotation • Handle both simple static sites and JavaScript heavy SPAs • Bypass anti bot measures including Cloudflare, reCAPTCHA, hCaptcha and similar shields • Use undetected headless browsers, 2captcha and CapSolver, and human like behavior to stay under the radar • Scrape social platforms and restricted APIs, including Twitter via TwiKit and reverse engineered endpoints • When there is no public API, extract data directly from the web Asynchronous and scalable crawling: • Use asyncio, aiohttp, asyncio.gather and asyncio.Lock for high volume scraping • Crawl thousands of pages concurrently for e commerce price monitoring and large scale data collection • Run long lived workflows with attention to efficiency and stability Data processing and delivery: • Clean and structure results into CSV, Excel, JSON, or direct database writes • Integrate outputs into existing systems or dashboards • Set up scheduled jobs so your data stays up to date Applied AI and automation: • Integrate OpenAI models such as GPT 4, GPT 4o mini, and GPT 5 mini into real products • Build scoring, classification, and enrichment pipelines with Langfuse observability • Add AI on top of ETL for cleaning, deduplication, routing, prioritization, and decision logic • Implement chatbots, assistants, and business intelligence features powered by LLMs • Embed GPT or custom models into scraping flows to classify content, auto fill forms, and make on the fly decisions Selected results, influencer discovery API (Instagram, TikTok, YouTube): • Migrated the service from Flask to FastAPI with a full sync to async refactor • Recovered many previously broken endpoints and platforms • Scaled the system to more than 7M database records and around 3,000 active users • Added Celery task queues on Redis and GPT based content scoring with Langfuse monitoring Selected results, Google Maps business intelligence backend: • Processes about 35,000 businesses in 9 minutes using two level async parallelism • Uses aiohttp, asyncio.gather and asyncio.Lock to avoid race conditions and keep the database stable • Includes JWT and OAuth2 auth, Argon2id password hashing, a simple CRM for contacts and follow ups, and CSV export Previous projects: • Django REST backends with Stripe payments, webhooks, and admin tools • Automation and scraping systems with Selenium, Playwright, undetected chromedriver, rotating proxies, 2captcha and CapSolver • Backend automation for Web3 and social platforms with Discord and Twitter API integrations Tech stack I am confident owning: • Backend: Python 3.10+, FastAPI, Django, Flask, Django REST Framework • Async and messaging: asyncio, aiohttp, Celery, Redis, Kafka, RabbitMQ • Databases: PostgreSQL, Supabase, SQLite, SQLAlchemy ORM • Auth and security: JWT, OAuth2, Argon2, Supabase Auth, cryptography • AI and monitoring: OpenAI API, Langfuse, OpenTelemetry • Scraping and automation: requests, BeautifulSoup, Selenium, Playwright, Scrapy, undetected chromedriver, TwiKit, 2captcha, CapSolver, proxy infrastructure • DevOps: Docker, Docker Compose, GitHub Actions, Linux You should contact me if: • You need a backend for an AI product, SaaS platform, data heavy API, or large scale scraping system • You want to migrate from Flask or legacy Django views to FastAPI or DRF with async where it actually helps • You want AI powered scoring, enrichment, or automation built directly into your backend and scrapers • You care about clean, maintainable code with tests, clear structure, and predictable behavior If you have a concrete problem, send me a short description and I will tell you what I can build for it and how I would approach it.

I build reliable, well-structured backends and data platforms for teams drowning in messy, large, or sensitive data. I'm a working data engineer, currently building the data infrastructure behind large-scale ML at a neurotech company, with an MS in Biomedical Engineering and a BS in Applied Math, and I bring production discipline to Python systems that need to scale and stay compliant, including under GDPR. Most of my work comes down to one thing: turning data and code that works into systems that are organized, dependable, and easy to evolve. I specialize in: - Data platforms & pipelines: ingesting, organizing, and serving large datasets so they're findable, trustworthy, and usable - Backend architecture in Python (FastAPI): clean service-layer design, well-structured APIs, maintainable code - Compliant, production-grade systems: handling large volumes of sensitive data under frameworks like GDPR, with the structure and controls that requires - Dockerized deployment on AWS & Azure: reproducible and operationally ready - ML model-to-API serving: turning notebooks and models into dependable inference services Typical engagements: - Designing or untangling a data pipeline so a team can actually find and trust its data - Refactoring and modularizing an existing FastAPI application - Converting research or ML notebooks into production services - Auditing a brittle backend and mapping the highest-impact fixes before you scale If your system works but feels brittle, disorganized, or hard to evolve, especially with a lot of data moving through it, that's exactly where I add the most value. Not sure where to start? I offer focused backend & data audits: a fixed-scope review with a written set of high-impact recommendations, so you get clarity before committing to a full build.

Looking for a Full-Stack Developer who can deliver scalable web and mobile applications? I am Shabnam, a seasoned Full Stack Engineer with over 10 years of experience in building high-performance applications across AI, Web and Mobile domains. I bring together the best of Python and React ecosystems to create seamless, production-ready digital products that scale with your business. 💡💡Key Strengths💡💡 🏅 10+ Years of Experience: Delivered end-to-end projects, from MVPs to enterprise-grade systems, across healthcare, e-commerce, logistics, fintech, education, recruitment, etc. 🏅 Proven Full-Stack Expertise: Skilled in both frontend and backend development using React, Next.js, Django, Flask, and FastAPI, ensuring clean architecture and maintainable code. 🏅 AI-Driven Problem Solver: Experienced in integrating OpenAI, TensorFlow, PyTorch, and ChatGPT APIs into web and SaaS platforms. 🏅 Transparent Collaboration: Expect clear communication, frequent updates, and a focus on measurable results. ➡️My Development Process - Discovery & Requirements: Understand your goals, workflows, and target outcomes to define a clear roadmap. - Planning & Roadmap: Prepare milestones, timelines, and architecture documentation. - Design & Prototyping: Optional wireframes or clickable prototypes to align expectations. - Development & Testing: Implement robust backend APIs and responsive UIs, with thorough QA at each stage. - Deployment & Updates: Continuous integration, version control, and agile delivery. - Post-Launch Support: I stay involved for monitoring, optimization, and ongoing improvements. 🧠 Tech Stack ✅ AI & Machine Learning TensorFlow | PyTorch | OpenAI | ChatGPT | LangChain | Scikit-learn | NLP | Chatbot Integrations ✅ Frontend: JavaScript (ES6+) | TypeScript | React.js | Next.js | React Native | Redux | Hooks | TailwindCSS | Bootstrap | HTML5 | CSS3 ✅ Backend Python | Django | Flask | FastAPI | Django REST Framework (DRF) | RESTful APIs ✅ Databases PostgreSQL | MySQL | MongoDB | Firebase | DynamoDB | SQLite ✅ DevOps & Tools AWS | Azure | GCP | Docker | Kubernetes | GitHub Actions | Jira | Trello | Agile / Scrum Areas of Expertise 🎯 Web & SaaS Application Development 🎯 Mobile App Development (React Native/Flutter) 🎯 AI/ML & Chatbot Integration 🎯 API & Third-Party Integrations 🎯 Cloud Deployment (AWS/GCP/Azure) 🎯 Database Design & Optimization 🎯 End-to-End Full Stack Development 🔑𝑲𝒆𝒚𝒘𝒐𝒓𝒅𝒔🔑 Artificial Intelligence, Machine Learning, Full Stack Development, Web App Development, Mobile App Development, React, Python, Django, React Native, Flutter, Front-end Development, Back-end Development, FastAPI, Flask, Database Management (MySQL, MongoDB), API Integration, Responsive Design, Cross-platform Development, Top Rated, Project Management, Agile Methodologies, User Experience.

You have data and a deadline. I build the pieces in between, cleanly, reliably, and with the business goal front and center. I'm a hands-on 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 who takes projects from idea to model to 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 (𝗠𝗟𝗢𝗽𝘀), covering NLP, Computer Vision, classic predictive modeling, and modern LLMs / Generative AI, including agentic AI workflows, RAG pipelines, and multi-agent systems, plus production full-stack apps when they truly add value. 𝗪𝗵𝗮𝘁 𝗜'𝗺 𝗚𝗼𝗼𝗱 𝗔𝘁: • Turning messy data into something useful: data pipelines, data engineering, features, guardrails • Choosing the right approach: scikit-learn / XGBoost / LightGBM when it's enough, PyTorch / TensorFlow when we need deep learning, LLMs with prompt engineering and fine-tuning when the task calls for it • Building things people actually use: microservices with FastAPI / Django / Flask, responsive frontends in React / Next.js, containers with Docker, cloud deploys on AWS / GCP / Azure, monitoring & retraining so models don't quietly drift • Working across structured and unstructured data: PostgreSQL, MongoDB, Redis, Kafka, documents, APIs, logs, whatever you have • Shipping reliable full-stack SaaS platforms: Node.js / Express backends, React / Next.js / Vue.js / TypeScript frontends, REST / GraphQL APIs, auth, RBAC, payments, WebSockets, background jobs with Celery • Explaining trade-offs clearly so you can make decisions quickly 𝗪𝗵𝗲𝗿𝗲 𝗜'𝘃𝗲 𝗯𝗲𝗲𝗻 𝗺𝗼𝘀𝘁 𝗵𝗲𝗹𝗽𝗳𝘂𝗹 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: agent orchestration with tool calling and multi-step workflows, multi-agent systems, human-in-the-loop review for high-stakes actions, knowledge platforms and enterprise search over internal data, workflow automation (LangChain, LangGraph, n8n) 𝗥𝗔𝗚 & 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: retrieval-augmented generation pipelines, vector databases (Pinecone, Weaviate, FAISS), embedding models, chunking strategies, hybrid search, evaluation frameworks, safety checks (Hugging Face, OpenAI / Anthropic APIs, LangChain / LlamaIndex) 𝗡𝗟𝗣 / 𝗟𝗟𝗠𝘀: customer support assistants, document Q&A, classification, summarization, knowledge graphs, conversational AI (spaCy, Hugging Face, OpenAI / Anthropic) 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: detection, segmentation, OCR, image processing, quality control, retail/warehouse vision (OpenCV, YOLO, PyTorch) 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 & 𝗥𝗶𝘀𝗸: demand, pricing, time series analysis, churn/CLV, fraud & credit risk models, quantitative analysis 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 & 𝗦𝗮𝗮𝗦: scalable SaaS platforms, API integration, responsive React / Next.js interfaces, real-time features, e-commerce, payments, dashboards, web scraping (Selenium, Scrapy, BeautifulSoup) 𝗠𝗟𝗢𝗽𝘀 & 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: CI/CD for ML, model deployment and model serving (REST/gRPC), MLflow, Airflow, Databricks, SageMaker, drift detection, traceability, evaluation loops, metrics, alerting, scheduled retraining 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗖𝗹𝗼𝘂𝗱: Docker, Kubernetes, Terraform, CI/CD (GitHub Actions, GitLab, Jenkins), blue-green deployments, zero-downtime migrations, solution architecture, AWS / GCP / Azure, Bedrock, Vertex AI 𝗛𝗼𝘄 𝘄𝗲'𝗹𝗹 𝘄𝗼𝗿𝗸: 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆: you share goals, constraints, and sample data. I propose a lean plan and success criteria. 𝗣𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲 𝗳𝗮𝘀𝘁: a working baseline in days, not weeks; we measure, iterate, and cut what doesn't matter. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻𝗶𝘇𝗲: clean code, tests, containers, infra as needed; handover docs and dashboards so your team isn't guessing later. 𝗔𝗳𝘁𝗲𝗿𝗰𝗮𝗿𝗲: I monitor models, handle drift, and plan upgrades on a sensible cadence. 𝗧𝗲𝗰𝗵 𝗜 𝘂𝘀𝗲 𝗮 𝗹𝗼𝘁: Python (Pandas, NumPy, scikit-learn, XGBoost / LightGBM) • PyTorch • TensorFlow / Keras • Hugging Face • spaCy • OpenCV • FastAPI / Django / Flask • React, Next.js, TypeScript, Vue.js • Node.js, Express • PostgreSQL, MongoDB, MySQL, Redis, Kafka • LangChain / LlamaIndex / LangGraph • Pinecone / Weaviate / FAISS • Docker / Kubernetes / Terraform • MLflow • Airflow • Databricks • SageMaker / Bedrock / Vertex AI • n8n • GCP / AWS / Azure 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱: Healthcare | Finance/FinTech | E-commerce/D2C | SaaS | Manufacturing | Logistics | Startups/Scale-ups If you need a partner who can 𝘀𝗵𝗶𝗽, not just explore notebooks or push pixels, send a short note with your goal and a sentence about your data. I'll reply with one or two practical paths, costs, risks, and a realistic timeline, so you can decide quickly.

I help SaaS startups and growing businesses build scalable, high-performance web applications using Python and AWS that are built to handle real growth. With 6+ years of experience, 900+ hours on Upwork, 100% Job Success, and Top Rated status, I specialize in building production-ready backend systems and full-stack applications that are designed to scale. From designing scalable REST APIs to deploying production-ready applications on AWS, I ensure clean architecture, performance, and long-term maintainability. 🔥 𝗖𝗼𝗿𝗲 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 & 𝗦𝗸𝗶𝗹𝗹𝘀: 🔷 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Django, Flask, FastAPI, Python, Django REST Framework, GraphQL, Celery, Sentry, PyTest 🔷 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: ReactJS, VueJS, JavaScript, HTML5, CSS3 🔷 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: PostgreSQL, MongoDB, MySQL 🔷 𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀: AWS, Docker, Hostinger, NGINX, Gunicorn, uWSGI, Supervisorctl 🔷 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Redis, RabbitMQ, Scalable Microservices 🔷 𝗣𝗮𝘆𝗺𝗲𝗻𝘁𝘀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Stripe, PayPal 🔷 𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝗖𝗼𝗻𝘁𝗿𝗼𝗹: Git, GitHub, BitBucket, GitLab 🏆 𝗠𝘆 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗜𝗻𝗰𝗹𝘂𝗱𝗲𝘀: 📌 Web Application Development 📌 API Development & Integration 📌 Scalable Microservices Architecture 📌 Real-time Dashboards & Customer Portals 📌 Secure Payment Gateway Integration 📌 Deployment & Server Management on AWS 🚀 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗛𝗶𝗿𝗲 𝗠𝗲: I am dedicated to Python and Django, enabling me to tackle complex projects with efficiency and precision. I have a proven track record of entering existing projects, quickly adapting, and delivering high-quality solutions. Whether it’s building a new web application, enhancing an existing platform, or ensuring robust deployments on the cloud, I am equipped to bring your vision to life. 💼 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗢𝗳𝗳𝗲𝗿𝗲𝗱: 💠 Full Stack Web Development (Django, Flask, ReactJS) 💠 RESTful API Design and Development 💠 Microservices and Scalable Architecture 💠 AWS Deployment and Server Management 💠 Real-time Dashboards & Data Visualization 💠 Custom Software Solutions and Consulting I am open to new challenges, whether short-term projects or long-term collaborations. Let’s build something great! Send me a message and let’s discuss your project goals today.

𝐀𝐧 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐬𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐢𝐧𝐠 𝐢𝐧 𝐚𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐚𝐧𝐝 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧. 𝐒𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥𝐥𝐲 𝐝𝐞𝐬𝐢𝐠𝐧𝐞𝐝 𝐚𝐧𝐝 𝐝𝐞𝐩𝐥𝐨𝐲𝐞𝐝 𝐄𝐓𝐋 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 𝐟𝐨𝐫 𝐰𝐞𝐚𝐭𝐡𝐞𝐫 𝐝𝐚𝐭𝐚 𝐨𝐧 𝐀𝐖𝐒 𝐋𝐚𝐦𝐛𝐝𝐚 𝐚𝐧𝐝 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐝 𝐝𝐚𝐭𝐚 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐀𝐏𝐈𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐛𝐨𝐨𝐤 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲. 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧 𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐧𝐠, 𝐀𝐏𝐈 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭, 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐬𝐮𝐩𝐩𝐨𝐫𝐭𝐬 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞, 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬. 𝐂𝐨𝐫𝐞 𝐬𝐤𝐢𝐥𝐥𝐬 𝐢𝐧𝐜𝐥𝐮𝐝𝐞 𝐄𝐓𝐋 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬, 𝐜𝐥𝐨𝐮𝐝 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬, 𝐚𝐧𝐝 𝐰𝐞𝐛 𝐬𝐜𝐫𝐚𝐩𝐢𝐧𝐠, 𝐮𝐭𝐢𝐥𝐢𝐳𝐞𝐝 𝐭𝐨 𝐬𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐞 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐜𝐫𝐨𝐬𝐬 𝐝𝐢𝐯𝐞𝐫𝐬𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬. 🛠️ 𝐖𝐇𝐀𝐓 𝐈 𝐁𝐔𝐈𝐋𝐃 ━ ✅ n8n Workflows — self-hosted & cloud, custom nodes, complex logic ✅ Make (Integromat) Scenarios — multi-step automations with bulletproof error handling ✅ Zapier Automations — rapid deployment for SaaS-heavy teams ✅ AI Agents & LLM Integrations — OpenAI GPT-4o, Anthropic Claude, Google Gemini ✅ RAG Pipelines & Knowledge Bases — internal AI search, document Q&A, semantic retrieval ✅ CRM Automation — HubSpot, Salesforce, GoHighLevel (GHL), Pipedrive, Airtable ✅ Lead Funnel Automation — capture → score → route → follow-up, fully hands-off ✅ API & Webhook Integration — REST, GraphQL, OAuth, custom endpoints ✅ ETL & Data Pipelines — automated reporting, cross-platform data sync, Google Sheets ✅ Email & SMS Automation — behavioral triggers, drip sequences, re-engagement flows ✅ E-commerce Automation — Shopify, WooCommerce, Stripe, order workflows ✅ Social Media Automation — scheduling, cross-posting, engagement triggers 💡 𝐌𝐘 𝐀𝐏𝐏𝐑𝐎𝐀𝐂𝐇 ━ ✅ Audit – I identify real bottlenecks and edge cases before writing any code ✅ Architect – I design a modular system focused on scalability, performance, and security ✅ Build – I implement clean, well-structured code with proper error handling and logging ✅ Handover – I provide a clear walkthrough and documentation so your team can confidently manage it 💻𝐓𝐄𝐂𝐇 𝐒𝐓𝐀𝐂𝐊 ━ 🤖𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: n8n · Make . Zapier · ActivePieces ⚛️𝐀𝐈 / 𝐋𝐋𝐌: OpenAI · Claude · Gemini · LangChain · Pinecone · Weaviate 📊𝐂𝐑𝐌: HubSpot · Salesforce · GoHighLevel · Pipedrive · Airtable · Monday dot com 🗣️𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Slack · Gmail · Outlook · WhatsApp API · Twilio 🧱𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: AWS · Supabase · PostgreSQL · Redis · Docker · Cloudflare 🧑‍💻𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Python · JavaScript · REST APIs · Webhooks · Custom Scripts 🧑‍💼𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞: ✅ 100% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐜𝐨𝐫𝐞 across 8 completed projects ✅ 150+ hours of hands-on automation work - not theoretical ✅ 𝐈 𝐝𝐨𝐧'𝐭 𝐨𝐮𝐭𝐬𝐨𝐮𝐫𝐜𝐞. 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐢𝐭 𝐦𝐲𝐬𝐞𝐥𝐟, 𝐞𝐯𝐞𝐫𝐲 𝐭𝐢𝐦𝐞. ✅ Modular architecture means easy updates - not locked-in black boxes ✅ Fast communicator - 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐞𝐬 𝐰𝐢𝐭𝐡𝐢𝐧 𝐡𝐨𝐮𝐫𝐬, 𝐧𝐨𝐭 𝐝𝐚𝐲𝐬 Click 𝐈𝐧𝐯𝐢𝐭𝐞 𝐭𝐨 𝐉𝐨𝐛 - let's put your operations on autopilot. n8n • Make (Integromat) • Zapier • AI Automation • Workflow Automation • Business Process Automation • No-Code & Low-Code Automation • API Integration • Webhooks • Python Automation • Data Pipelines (ETL) • Web Scraping • CRM Integration • HubSpot Automation • Salesforce Automation • GoHighLevel (GHL) • Airtable • Slack Bots • Google Workspace Automation • Lead Generation Automation • Email Automation • Marketing Automation • Sales Automation • E-commerce Automation • Shopify Automation • Stripe Integration • WhatsApp Automation • OpenAI API • GPT-4 • ChatGPT • LangChain • RAG Pipelines • AI Agents • Generative AI

For the last 5 years, I have been providing the following services: ✅ Web App Backend development ✅ API development and integration ✅ Data Science/Machine Learning ✅ POC and MVP development ✅ Web automation and Scraping ✅ Scripting and Automation ✅ Bot development ✅ Deployement Working worldwide, I help customers from various business domains through coding, building a dev team, and filling expertise plus technological gaps. Here are the main industries: 🔸 Fintech 🔸 AI and machine learning 🔸 Lead Generation and campaigning 🔸 Document Processing My main tech stack: ☑️ Python ☑️ Frameworks/Modules: TensorFlow, PyTorch, HuggingFace, Keras, Sklearn, Scipy, Seaborn, matplotlib, pandas, numpy ☑️ Flask / FastAPI / Django for Web/ API Development ☑️ WebSocket: Real-time application development with Django Channels, FastAPI + WebSocket, Flask-Socketio, and Socket.IO integrations ☑️ Data Management: PostgreSQL, MySQL, MongoDB ☑️ Task Queues: Celery ☑️ Containerization: Docker ☑️ In-memory Data Store: Redis ☑️ Cloud Platforms: AWS, GCP ☑️ Frontend: HTML/CSS/JS + Reactjs, Nextjs Get in touch, invite me to your project, and let’s start cooperating!

Hi All, I am a Python Developer with over 5 years of experience specializing in end-to-end automation, sophisticated web scraping, and custom software development. I bridge the gap between complex data challenges and efficient, scalable solutions. My expertise lies in navigating highly secured digital environments and transforming raw information into actionable data. 𝐖𝐡𝐲 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞? I provide one year of complimentary free technical support for every successful deployment. I focus on building resilient tools that don't just work today, but continue to perform long-term. 𝐒𝐤𝐢𝐥𝐥𝐬 Web Automation: Playwright, Selenium, DrissionPage; headless + stealth workflows Web Scraping & Data Extraction: HTML parsing, pagination, concurrency, resilient retries Anti-Bot & CAPTCHA Handling: reCAPTCHA v2/v3 Enterprise, Cloudflare Turnstile, DataDome, Imperva; proxy rotation and fingerprint-aware flows API Development: FastAPI, REST, async endpoints, background jobs, webhooks API Integration: OAuth2, JWT, third-party APIs, rate-limit handling, robust error handling Chatbots: Telegram/Discord/Slack bots, webhook-based bots, automation-trigger bots, AI/LLM integrations when needed Chrome Extensions: Manifest V3, content scripts, background/service worker, automation helpers, DOM tooling Data Processing: Pandas, NumPy; cleaning, deduplication, merging, reporting/export PDF Automation: Table/text extraction, structured parsing, OCR when needed Image Processing: OpenCV, Pillow; preprocessing, detection, OCR pipelines Form Automation: Multi-step submissions, file uploads, validation handling, captcha-aware flows Desktop Apps: PyQt6, Tkinter, internal tools, dashboards, automation GUIs Databases: SQLite, PostgreSQL/MySQL basics; ORM patterns when needed DevOps/Runtime: Linux, VPS deployment, Docker basics, logging/monitoring, cron/worker setups