👋🏻 Hey! I'm an AI Automation Engineer & Software Developer who turns complex problems into clean, efficient, and scalable solutions. With hands-on experience across AI automation, data science, and full-stack development, I deliver work that drives real results, faster workflows, smarter systems, and measurable impact. 💡 What I Bring to the Table: With a solid foundation in OOP, Data Structures & Algorithms, machine learning, and real-time data processing, I specialize in: - AI & Intelligent Automation — building smart workflows powered by AI to eliminate repetitive tasks and optimize business processes - No-Code Automation — creating powerful automated pipelines using n8n, Make (Integromat), and GoHighLevel to connect apps, trigger workflows, and streamline operations without writing a single line of code - Python Development — automation scripts, data pipelines, web scrapers, and backend logic that cut delivery times and boost efficiency - Data Science & Analytics — data cleaning, visualization, predictive modeling, and insights that support smarter decision-making - Flutter and React Native Mobile Apps — cross-platform apps with smooth UI and strong performance - PyQt5 Desktop Tools — dynamic, user-friendly desktop applications - Database Management — optimized schemas using MySQL and Firebase 🏆 Proven Deliverables: My projects have consistently reduced delivery times, boosted performance, and improved user engagement backed by clean, maintainable code and intelligent automation aligned with real business goals. 🎓 Education & Foundation: Currently pursuing my degree in Software Engineering, with strong academic grounding in algorithms, data science, system design, and software architecture. 🤝 Let's Build Something Impactful. Whether you need AI automation, data insights, a mobile app, or a full-stack solution, I'm committed to delivering quality work that drives results. Drop me a message and let's talk!

Hi, I’m Carlos --> Founder of Re:klaim- More Life, Less Email Im a results-driven Data Scientist and Machine Learning Engineer with an MIT ADSP Certification. I specialize in translating complex data problems into actionable business insights and scalable AI solutions. Key Strengths & Expertise - Machine Learning & Predictive Analytics: Expertise across ensemble modeling, alpha discovery, NLP, and real-time applications. - Data Visualization & Reporting: Skilled at building interactive dashboards (Tableau, R Shiny) and visually compelling reports that drive decision-making. - Scalable Solutions: Proficient in MLOps (model deployment, monitoring, and optimization) to ensure your solution remains robust under production conditions. - Client-Centered Approach: I tailor solutions to each client’s needs, working iteratively with feedback to maximize impact. Notable Achievements: Alpha Discovery & Risk Analysis - Developed high-risk, high-reward trading strategies using advanced ensemble techniques for financial markets (RiskMiner). - Achieved improved predictive accuracy and actionable insights for traders. Dropout Prediction Model - Built a school dropout prediction tool that provided district administrators with actionable insights to reduce dropout rates. - Delivered user-friendly dashboards and detailed reporting for long-term impact. Climate Analysis & Dashboards - Created R Shiny apps and Tableau dashboards for climate data and working capital optimization. Transformed raw data into interactive, visually stunning tools for stakeholders. Work Process - Discovery & Planning: In-depth requirement gathering, data exploration, and solution design. - Implementation & Iteration: Iterative model development, feedback loops, and refinements to ensure alignment with your business goals. - Deployment & Knowledge Transfer: Production-ready models, clear documentation, and (if requested) training sessions so you can confidently use and maintain your new solution. Why Work With Me? - Clear Communication: Regular updates, straightforward timelines, and transparent milestones. - Commitment to Excellence: Meticulous EDA, clean code, and result-driven solutions that don’t just work but excel. - Future-Focused: Always open to ongoing support, enhancements, and collaboration for long-term growth. High-Performance Environment: My local development setup includes an Apple MacBook Pro (M4 Max, 128 GB RAM, 40-core GPU, 16-core Neural Engine, 2 TB SSD). This powerhouse environment enables rapid model training, parallel processing, and seamless handling of large-scale datasets—without relying exclusively on external cloud infrastructure. That means faster iterations, quicker insights, and lower operational overhead for your project. Ready to turn your data into a competitive edge? Let’s connect to discuss your project needs and how we can build an impactful and valuable solution together.

Dear Viewer, “Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” (Geoffrey Moore, author and consultant) I'll help you getting High Quality, Accurate Data that'll add value to your business. I'm well verse in Python and C/C++. My area of expertise are web scraping/crawling, data interpretation, data scraping, data analysis and data structures. I am a freelancer on full-time so you can expect results within few hours depending on the project. I have developed software solutions to crawl and extract different types of data from various websites, e.g. social networking sites, e-commerce, business listings and other related data sources. If you decide to work with me you can expect a high level of dedication and passion in the project we do together. I will try hard to adapt my knowledge and experience to your needs and I will always put a special emphasis on a creative solution. I have scraped data from websites that require parsing JavaScript/AJAX and Login Secured. I've rich experience in avoiding IP blocking with Proxy server and have scraped big data on a server like AWS, DigitalOcean. I can provide scraped data in whatever format is required: csv, json, MySQL, PostgreSQL, NoSQL (mongoDB), txt. Looking forward to working with you soon. Thanks

In the company of containerization and orchestration with Docker (and Kubernetes when needed), I deliver robust, production-ready systems across data engineering, backend, frontend, and Web3. I extract, process and persist large datasets from diverse web sources, apply both NoSQL and SQL solutions, and deploy resilient services on AWS and GCP. I also design and run automated media pipelines that integrate LLMs and visual models for programmatic video generation. I build reliable scraping and ingestion systems for a wide range of sites and data types: E-commerce platforms (including hardened scraping strategies for bot-resilient sites) - Real estate portals - Academic and journal metadata / abstract extraction - Public/state resources (property registries, professional lists, parliamentary records) - Cryptocurrency rates, NFT collections, and real-time blockchain feeds - Flight records, news sources, YouTube (API v3), legal/public records, and other periodicals Technical highlights Languages & tooling: Python (Scrapy, BeautifulSoup, Pandas), Node.js (Puppeteer, Playwright), TypeScript, React. Backend & APIs: Django, Flask, Express; experienced building containerized microservices and WebSocket-driven architectures for live data streams. Data & BI: ETL, data modeling, dashboards (Power BI, Tableau, Metabase). Media & LLMs: End-to-end automated video systems using MoviePy, Manim, OpenCV + LLM integration (ChatGPT and similar); agentic architectures for sequential and hierarchical media/text generation. Systems & design: Software architecture, UML, developer-ready design docs, production deployment pipelines (Docker, CI/CD). Resiliency & scraping ops: Anti-bot–aware scraping strategies, compliant challenge handling with Playwright, adaptive throttling, and production-grade scheduling and error handling. Web3 & smart-contract experience: Designed, tested and deployed Solidity smart contracts (development and iteration in Remix); implemented end-to-end approval/commit workflows and event/log handling for on-chain state. Worked with ZkSync L2. Built a Vite + React frontend that integrates wallet/connect flows, submits transactions, waits for confirmations, and updates UI from on-chain events; implemented secure read/write flows, gas-aware UX, and multi-step transaction handling. Practical experience with testnet deployment, transaction lifecycle management, contract ABI handling, and frontend-to-contract integration patterns (wallet signing, transaction receipts, log parsing). Has experience both in hardhat and foundry Focus on maintainable, auditable smart contract structure and careful UX around asynchronous on-chain state. Other Telegram API integrations, legal/NLP tooling (court document parsers), experience with both ad-hoc scripts and scalable production services. Strong emphasis on observability, testing, and security practices — from unit & integration tests to sensible error reporting and monitoring. Architecturally, a big fan of TDD (test driven development) and when relevant, CDD (contract driven development) I am also fully Claude and Codex CLI literate.

I'm a software engineer who makes 𝗔𝗜 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 I’m a Python Web Software Engineer 5+ yrs who 𝗯𝘂𝗶𝗹𝗱𝘀 𝘀𝗺𝗮𝗿𝘁, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗱𝗿𝗶𝘃𝗲 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗿𝗲𝘀𝘂𝗹𝘁𝘀. From AI learning to music generation and e-commerce automation, 𝗜 𝗱𝗲𝗹𝗶𝘃𝗲𝗿 𝗳𝗮𝘀𝘁, 𝗰𝗹𝗲𝗮𝗻 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝗺𝗮𝘁𝗰𝗵 𝘆𝗼𝘂𝗿 𝗴𝗼𝗮𝗹𝘀 𝗮𝗻𝗱 𝘆𝗼𝘂𝗿 𝘂𝘀𝗲𝗿𝘀’ 𝗻𝗲𝗲𝗱𝘀. ✔️ Built AI call assistant (OpenAI + Twilio) → automated thousands of calls/month ✔️ Healthcare AI (Whisper + GPT) → auto reports + emergency detection ✔️ Integrated GPT + voice tech → boosted engagement for a language-learning app ✔️ Scraped TikTok & Snapchat at scale → saved 80% of manual work ✔️ Launched a viral AI music tool via Suno → new feature live in days ✔️ Designed scalable APIs + background queues → performance up, ops smoother 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗯𝗿𝗶𝗻𝗴 𝘁𝗵𝗶𝘀 𝗹𝗲𝘃𝗲𝗹 𝗼𝗳 𝗶𝗺𝗽𝗮𝗰𝘁 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗱𝘂𝗰𝘁? Notable projects & results: 𝗔𝗜 𝗖𝗮𝗹𝗹 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 (Real Estate, NDA) → FastAPI + OpenAI + Twilio + Vapi = fully automated voice agent → async webhooks + RBAC + facility system integrations → thousands of calls handled monthly, faster response, lower ops costs 𝗔𝗜 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 (NDA) → Whisper + ChatGPT + Django + AWS = call analysis engine → auto summaries, to-do lists, role-based transcripts → emergency detection + PII anonymization → improved staff monitoring + reduced manual review load 𝗔𝗜 𝗠𝘂𝘀𝗶𝗰 𝗔𝗽𝗽 (𝗕𝗮𝗰𝗸𝗣𝗮𝗰𝗸) → FastAPI + Celery = async processing at scale → TikTok & Snapchat scrapers = automated content sourcing → Suno API integration = brand-new AI-driven user tools 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗔𝗽𝗽 (𝗧𝗮𝗮𝗹𝗠𝗮𝘁𝗲) → GPT chatbot + adaptive flow = personalized language learning → Voice feedback system = improved pronunciation + user confidence → Smart exercises = better retention & higher course completion 𝗘-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 (𝗦𝗵𝗲𝘃𝗮𝗦𝗵𝗼𝗽) → Django backend + LiqPay = full store online in weeks → Secure JWT auth, catalog, reviews = seamless shopping UX 𝗠𝗮𝗶𝗻 𝘀𝘁𝗮𝗰𝗸: Languages: Python Frameworks: FastAPI, Django, Flask, Celery Databases: PostgreSQL, MongoDB, Redis, Supabase AI/LLMs: OpenAI, Claude, Gemini, Suno Web Scraping: Selenium, Scrapy, BeautifulSoup Tools: Docker, async processing, background jobs I work fluently across time zones (𝗨𝗦 ↔ 𝗘𝗨) and sync backend architecture with real product goals, so your tech stack drives growth, not complexity. 𝗟𝗲𝘁’𝘀 𝗯𝗿𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗶𝗱𝗲𝗮 𝘁𝗼 𝗹𝗶𝗳𝗲 - 𝘀𝗺𝗮𝗿𝘁𝗲𝗿, 𝗳𝗮𝘀𝘁𝗲𝗿, 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝘁 𝘁𝗼 𝘀𝗰𝗮𝗹𝗲.

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.

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.

ABOUT: 🔬 Research cited by Qwen (Alibaba's frontier LLM) 🏆 Top 5% in Machine Learning on Upwork ⚡ 7+ years building AI systems that actually ship 👔 Notable clients: Giotto.ai · EDF Compliance · IKM · Data Mania CERTIFICATIONS: ✔️ Stanford Online — Machine Learning EXPERIENCE & SKILLS: 📊📈🕵🏻‍♀️ AI Agent Development, Generative AI, Large Language Models (LLM), Claude API, AI Integration, OpenAI API, Anthropic, LLM Fine-tuning, Retrieval Augmented Generation (RAG), Prompt Engineering, LLM Prompt Engineering, LangChain, Multi-modal AI, Natural Language Processing (NLP), Voice Agents, AI Voice Agent, Text-to-Speech, Speech-to-Text, Whisper AI, ElevenLabs, Conversational AI, Chatbot Development, AI App Development, Agentic AI, Computer Vision, Object Detection, Image Segmentation, Object Tracking, Video Analysis, OCR, TensorFlow, PyTorch, Machine Learning, Deep Learning, Python, JavaScript, React, Next.js, Node.js, TypeScript, PostgreSQL, Supabase, MongoDB, REST API Integration, API Development, Full-Stack Development, SaaS Development, Web Application Development, Backend Development, AWS, GCP, Vercel, Docker, Google Ads, Google Sheets, Google Analytics, Marketing Automation, Workflow Automation, Business Process Automation, Data Pipelines, Data Science, Data Engineering.

I build automation systems that generate revenue. Most companies waste thousands of hours on manual workflows: lead generation, data extraction, prospecting, enrichment, reporting, outreach. I design automation infrastructure that replaces those workflows entirely. Examples of systems I build: • AI-powered lead generation pipelines • automated data extraction platforms • large-scale web scraping infrastructure • CRM enrichment & prospecting automation • outbound sales automation systems • internal AI workflow tools These systems typically save hundreds of hours per month and generate consistent lead flow. Tech stack: • Python • AI agents / LLM automation • web scraping infrastructure • API automation • data pipelines • cloud automation If you need a reliable automation system rather than another script, I can help.

I am a Python Developer and Django Backend Engineer specializing in scalable web applications, automation systems, and data scraping solutions. With strong experience in Django, Django REST Framework, and REST API development, I build secure, production-ready backend systems designed for performance and scalability. 🔹 Backend & Web Application Development Custom Web Application Development Django & Django REST Framework REST API Development & API Integration SaaS Development PostgreSQL Optimization Celery & Redis Background Tasks Scalable Backend Architecture 🔹 Web Scraping & Automation (High-Demand Expertise) Web Scraping & Data Scraping Data Extraction & Data Mining Python Automation Scripts Selenium & Playwright Automation Bot Development Workflow Automation Systems Scraping Protected & Dynamic Websites I build reliable data pipelines that collect, clean, and structure large-scale data efficiently. 🔹 Blockchain & Web3 Development Blockchain Development Web3.py Applications Smart Contract Integration Ethereum & EVM Integrations Crypto Wallet Integration NFT Utilities & Token Logic On-chain / Off-chain Backend Systems 🔹 Applied AI Engineering OpenAI API Integration LLM Integration AI Automation Systems RAG Applications AI-Powered Web Applications Intelligent Document Processing Why Clients Work With Me Clean, maintainable Python code Clear communication Scalable architecture design Automation-first mindset Long-term collaboration focus If you need a Python developer who understands backend architecture, web scraping at scale, Web3 systems, and AI integration, let’s build it properly.