I build production-grade data pipelines for location data, the kind that survive real scale, messy sources, and senior technical review. Most data engineers can't work in GIS, and most GIS specialists can't ship reliable pipelines. I do both, which is exactly what location-heavy projects need. If you're working with geographic data, satellite or aerial imagery, parcel and infrastructure records, point-of-interest datasets, anything tied to coordinates, I turn it into clean, queryable, automated systems instead of one-off scripts that break the moment the source changes. What I do: - Geospatial ETL pipelines (PostGIS, geopandas, rasterio) that ingest, clean, and structure spatial data at scale - Remote-sensing and imagery workflows, sourcing, tiling, and organizing aerial/satellite data across many locations - Web scraping and data extraction (Playwright, BeautifulSoup) with proper deduplication, rate-limit handling, and validation - Config-driven, schema-adaptive pipelines that adapt to new sources without a rewrite - Spatial APIs and mapping backends (FastAPI, PostgreSQL/PostGIS, Leaflet) How I work: I diagnose the real bottleneck before writing code, I'm honest about tradeoffs (including when the hard part is data cost or source limits, not engineering), and I build for handoff, documented, maintainable, and yours. Proof: - Processed 6M+ US building permit records through a config-driven ETL pipeline (ConstructIQ) - Built a nationwide vendor directory of 4,400+ records via multi-phase scraping and enrichment (EventStarted) - Mapped fiber infrastructure across Lagos State in PostGIS (UDIGAP) - B.Sc. in Surveying & Geoinformatics — the geospatial fundamentals behind the engineering Tell me what your data looks like and what you need out of it, and I'll map the approach against your constraints before we talk price.

✅ Top 1% part of Upwork's Expert-Vetted program | NO AGENCY SOLO DEVELOPER 🎖️ 8 years+ of experience in Data Science 🏅 180+ Upwork Projects 💯 Less than 1 Hour Response time My specialty is to take your business problem and find a suitable end to end solution using AI and programming tools from Python, R, JavaScript programming languages. My extensive experience and wide skillset from data acquisition, model training to production grade application or REST API development will save you time and costs (material or psychological i.e. trying to find developers to make MVP, organize and support communication within team). AI Agentic systems are overtaking markets with potential impact on various businesses and creating opportunities to utilize. My skills in AI Agentic system development using Langchain, LangGraph, CrewAI, Autogen, RAG, MCP, Retell.ai, Elevenlabs will give you opportunities to cut costs and optimize your business operations. My skills include machine learning, deep learning, computer vision, web scraping, data engineering, web development, and data visualizations. I can create interactive web applications and dashboards using Python's Dash framework and R's shiny package so you will be able to observe, analyze and present various aspects of your business and other activities in practical ways. My expertise also includes the development of graphical user interface GUIs with Python's Kivy framework. In Computer Vision, my skills include image classification, object detection, and image segmentation with Python tools such as Tensorflow, Keras, CNNs (LeNet, AlexNet, VGG1619, InceptionV3, ResNet50), SSD, YOLO, TFOD, and Mask R-CNN. Importantly, I have skills in math and statistics essential for understanding processes behind code and interpreting outcomes from it. I have done my MBA with a focus on data science. I have been working as an accountant for around five years, including a member of the Big Four and as Data Scientist in a local IT company focused on DS. Thus, I understand finance from theoretical and practical sides and can apply code to analyze vast amounts of financial or other data efficiently. Considering my previous experience, my domain knowledge in finance, marketing (CTR, CLV), process optimization, and other business areas, I will focus on understanding your business goals and implementing solutions to make them come true. My skills include: ✅ Data Science ✅ Machine Learning ✅ Deep Learning ✅ Algorithmic Trading ✅ Generative AI ( Langchain, IIamaIndex, LangGraph, LangSmith, HuggingFace, StableDiffusion, Midjourney, OPEN AI, CHAT GPT4, CHAT GPT3.5, Mistral7B, Gemini, Cursor, Ollama, CrewAI, AutoGen, MCP, Google MCP Toolbox for Databases) ✅ Prompt Engineering (ICO, TESSA, ReAct, Chain of Thought, Map Reduce, Refine) ✅ AI Agents, Inbound & Outbound & Batch Calls, Chatbots, RAG, Conversational Agents, VAPI, Retell.ai, make.com, gohighlevel, n8n, telnyx, twilio ✅ Full Stack Development (React, React Native, Next.js) for AI integration ✅ Interactive Visualizations/Dashboards ✅ Data Engineering (MySQL, MongoDB, PostgreSQL, BigQuery, Oracle, SQLServer, Pinecone, ETL) ✅ Python, R, SQL ✅ Object Oriented Programming (OOP) ✅ PEP-8 (pylint, isort, flake8, autopep, black, docstrings, pydocstyle, mkdocs) ✅ Web development (interactive dashboards Dash) ✅ Bot Development (Telegram) ✅ Graphical User Interfaces (GUI) Kivy ✅ Big Data (Spark) ✅ Recommender Systems ✅ DevOps (ML Deep Learning model deployment on cloud, TDD, AWS, GCP, Azure, Docker, REST API) ✅ OCR ✅ Computer Vision ✅ Audio Processing ✅ Natural Language Processing NLP (Bert, fastText, Langchain) ✅ CNN (LeNet, AlexNet, VGG1619, InceptionV3, ResNet50) ✅ Object Detection (R-CNN, SSD, YOLO, TFOD API) ✅ Image Segmentation (Mask R-CNN) ✅ Transfer Learning ✅ Time Series Analysis (ARIMA, SARIMA, LSTM, PROPHET) ✅ OpenCV ✅ Educational Tutorials ✅ Web Scraping ✅ Web Crawling ✅ API Clients ✅ Keras, Tensorflow, PyTorch ✅ Dash, Shiny, Plotly, Streamlit, React, Next.js ✅ Pandas, Numpy, Scipy, Scrapy, Selenium, requests, ggplot2 ✅ IOT (Raspberry Pi) ✅ REST API (Google Ads, Google Analytics, FB/META API, Stripe, CCXT, OPEAI etc.) ✅ REST API development (Flask, FastAPI)

💡 𝗔𝗜-𝗗𝗿𝗶𝘃𝗲𝗻, 𝗦𝗰𝗮𝗹𝗮𝗯𝗹e 𝗡𝗲𝘅𝘁-𝗚𝗲𝗻 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 Expert with 15+ years of experience, specialising in Artificial Intelligence (AI), Machine Learning (ML), GIS, Cloud Computing, and Full-Stack Web & Mobile Development. I have successfully led small to medium-sized engineering teams, driving high-impact projects across industries. 🔥 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 🤖 AI & Machine Learning | NLP, Computer Vision & Automation ⚡ GPT, ChatGPT, LLMs, LangChain, AI Chatbots, Voice AI 🧠 Natural Language Processing (NLP), Vector Databases 📸 Computer Vision (YOLO, OpenCV, TensorFlow, PyTorch) 📊 Predictive Analytics, Recommendation Engines, Generative AI 🌍🗺️ GIS & Mapping Specialist; Advanced geospatial & location-based intelligence 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 | 𝗪𝗲𝗯 & 𝗠𝗼𝗯𝗶𝗹𝗲 - Backend: Python (Django, FastAPI), Node.js, PHP (Laravel) - Frontend: React, Angular, Vue.js - Hybrid Apps: React Native, Flutter, Ionic - API Development, Headless CMS, Microservices Architecture 𝗚𝗲𝗼-𝗔𝗜, 𝗚𝗜𝗦 &; 𝗦𝗽𝗮𝘁𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 - Geospatial AI, Geospatial Data Analysis, GIS Mapping - Mapbox, Leaflet, OpenLayers, OpenGeo Stack, QGIS, ArcGIS - 3D GIS, LIDAR, Drone Imagery, Geospatial AI, PostGIS 𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀 | 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 - Amazon Web Services (AWS), Google Cloud, Microsoft Azure - Cloud-Native Architectures, Kubernetes, Docker, CI/CD Pipelines - Serverless Computing, API Gateways, Auto-Scaling Systems 🏆 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜'𝘃𝗲 𝗪𝗼𝗿𝗸𝗲𝗱 𝗜𝗻: 🏥 Healthcare & MedTech – AI-driven EHR, Telehealth, Medical Imaging 🏗️ Real Estate & Construction – GIS-powered property intelligence, AI analytics 🌾 Agri-Tech & Precision Farming – Satellite imaging, crop monitoring, IoT integration 🚚 Logistics & Supply Chain – AI fleet management, route optimization, predictive analytics ✈️ Tourism & TravelTech – AI-enhanced itinerary planning, AR-powered navigation, personalized travel experiences 💳 FinTech & Blockchain – Crypto payments, DeFi solutions, fraud detection 🎓 E-Learning & EdTech – AI-driven personalized learning platforms, video annotation AI 🔐 Cybersecurity & Compliance – AI-powered fraud detection, blockchain security 🧑‍💼 HR & Recruitment – AI job-matching platforms, GPT-enhanced hiring automation 💬 𝗟𝗲𝘁’𝘀 𝗕𝘂𝗶𝗹𝗱 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 — 𝗢𝗻𝗲 𝗟𝗶𝗻𝗲 𝗼𝗳 𝗖𝗼𝗱𝗲 𝗮𝘁 𝗮 𝗧𝗶𝗺𝗲! Drop me a message and let’s get started! 🚀

Bringing 15+ years of deep technical expertise across Artificial Intelligence, Machine Learning, Cloud Computing, Blockchain, GIS, and End-to-End Software Engineering, with a track record of delivering high-impact, future-ready solutions across industries. The approach is outcome-driven, focusing on innovation, automation, and long-term scalability. 🔥 Core Expertise 🤖 AI & Machine Learning – Conversational AI, ChatGPT, LLMs, LangChain, Voice AI – NLP, Vector Search, Embedding Models – Computer Vision: YOLO, OpenCV, TensorFlow, PyTorch – Generative AI, Recommendation Systems, Predictive Analytics 🌍 Geospatial Intelligence – Geo-AI, Spatial Analysis, GIS Applications – Tools: PostGIS, Mapbox, Leaflet, QGIS, ArcGIS, OpenLayers – Drone Imagery, LIDAR, 3D GIS & Terrain Mapping 🛠️ Full-Stack Engineering – Backend: Python (Django, FastAPI), Node.js, Laravel – Frontend: React, Angular, Vue – Mobile: Flutter, React Native, Ionic – Microservices, Headless CMS, Scalable APIs 🔗 Blockchain & Web3 Development – Ethereum, Binance Smart Chain, Corda, Hyperledger – NFT Marketplaces, Crypto Payment Integration – Smart Contracts, Decentralized Apps (DApps), DeFi Platforms ☁️ Cloud & DevOps – AWS, Google Cloud, Azure – Containerization (Docker, Kubernetes), CI/CD Pipelines – Auto-Scaling Systems, Serverless Architectures, Cloud APIs 🏆 Sector Experience 🏥 Healthcare – EHR, Telemedicine, Diagnostic Imaging with AI 🌾 AgriTech – Satellite Monitoring, IoT, Crop Intelligence 🏗️ Real Estate – GIS-enabled Property Mapping, Market Analysis 🚛 Logistics – Route Optimization, Predictive Fleet Analytics ✈️ TravelTech – AI-Powered Planning, Location-based Services 💳 FinTech – Crypto Payments, DeFi, Fraud Detection 🎓 EdTech – Personalized Learning Engines, Video AI 🔐 Cybersecurity – AI Threat Detection, Blockchain Security 🧑‍💼 HR Tech – Automated Hiring, GPT-enhanced Recruiting ✨ Let’s Build What’s Next The focus remains on designing technology that solves real-world problems, scalable, secure, and intelligent by default. Ready to explore ideas and transform them into digital reality? Let’s connect.

I build native iOS and Android applications that work in the real world, in the field, offline, in complex physical environments where most mobile solutions fall apart. My focus is on technically demanding work: augmented reality and spatial computing, LiDAR-based 3D reconstruction and site scanning, RoomPlan-based room and space capture, GIS and GNSS field data collection, BLE and IoT device integration, and AI/ML features that actually ship. Not demos, production systems. I'm the founder of Quality Wolves, a senior-only engineering team. Everyone on the team has owned full project cycles and made architectural decisions. We take ownership of the technical scope, surface what matters, and keep things moving. You stay focused on your product, we handle the build. What I build: Native Mobile: Swift, SwiftUI, Kotlin, full-cycle iOS & Android development, App Store and Google Play delivery AR / Spatial Computing: ARKit, ARCore, RealityKit, RoomPlan, LiDAR scanning, point cloud processing, 3D reconstruction, Apple Vision Pro. GIS & Field Data: GNSS/RTK integration, offline-first architecture, geospatial data pipelines, custom map layers, QGIS compatibility AI & ML: LLM integration, computer vision, NLP, on-device inference with Core ML and TensorFlow Lite, OpenAI and custom model pipelines, TTS/STT Connectivity: BLE pairing flows, LoRa, IoT sensor integration, background sync, beacon tracking Our senior engineers use AI tools deliberately, not as a substitute for judgment, which means faster delivery without trading speed for technical debt. Good fit if you: Need someone who operates independently without hand-holding Are building something with real operational complexity Have been burned by teams that shipped demos and called it done Describe the problem you're trying to solve, send a message, and let's talk specifics.

My focus is Location Intelligence solutions in Real Estate, Construction and Transport industries. My passion lies in developing custom algorithms based on large GIS datasets, such as OpenStreetMap data or government land and cadastral registers. I extensively use PostgreSQL/PostGIS databases and server-side software focused on delivering high-performance tiled map sources in my work. I possess expert knowledge of Mapbox GL, MapLibre GL, and Leaflet map scripts and their application for complex GIS data visualization. Currently I am in search of interesting projects related to: - Land registers, cadastres, real estate evaluation and appraisal using GIS datasets - Location Intelligence applications in Construction and Real Estate industries - Processing and leveraging OpenStreetMap data in various applications - Physical address related GIS solutions - Routing and traffic solutions - Climate and weather data processing, tightly integrated with maps I possess extensive experience in: - Managing large real estate and geospatial databases - Government GIS open data - Utilizing OpenStreetMap data in various applications, ranging from traffic routing to real estate appraisal - Visualizing data on web maps, including big data - Processing weather and climate maps with NetCDF and GRIB data - Analyzing satellite imagery data for NDVI/NDWI, detection of roofs, pools, building footprints, etc. - Developing custom GIS algorithms Technologies: Backend: - Python, GeoPandas, Numpy, Flask, FastAPI. GIS-specific libraries: - Gdal, ECMWF, OSRM, Valhalla, Nominatim Frontend: - Mapbox GL, Maplibre, Leaflet, Google Maps, Turf, Javascript Databases: - Postgres/Postgis, MySQL, MongoDB Deployment: - AWS, Ubuntu, Debian Desktop: - QGIS, ArcGIS Note: I don't like works with HTML/CSS UI other than map components. It's acceptable only as a very small part of the whole project

🦾 AI-powered solutions. OpenAI integrations. Machine learning capabilities. Business automation. 🧩 Requirements call required. 🛑 No small fixes projects – sorry, guys. I’m an AI Developer and Open AI developer with 13+ years of experience in SaaS products, automation systems, backend platforms, and business tools. My work combines practical AI Integration, scalable architecture, Python developer expertise, JavaScript, and strong product thinking. As an AI Developer, I help clients build internal tools, dashboards, chatbots, AI Langchain workflows, data platforms, web applications, and automation systems. I also work as a Python Django developer when projects need secure APIs, admin panels, user roles, CRM connections, database logic, and stable backend architecture. My stack includes Python, Django, React, JavaScript, REST APIs, PostgreSQL, Docker, OpenAI, Claude, LangChain, vector databases, Zapier, Airtable, n8n, make com, Slack, Google Workspace, and third-party API connections. 💼 Why Work With Me? I don’t just write code — I build systems that solve real business problems. As an AI Developer and Agentic AI Developer, I focus on clean workflows, reliable outputs, automation logic, and product usability. For AI Integration, I connect models with your real data, users, tools, and business processes. This includes AI API Integration, Airtable Integration, chatbots, copilots, document processing, customer support automation, reporting systems, knowledge bases, and smart assistants connected to CRMs, databases, files, and APIs. As a Python developer, I build scalable backend systems with clear structure, secure permissions, optimized databases, background jobs, and clean admin logic. I also support Python developer web scraping, data processing, automation scripts, API integrations, reporting workflows, and ML-related pipelines. On the frontend side, I use JavaScript to build dashboards, admin portals, SaaS interfaces, internal tools, analytics screens, and API-driven product flows that are simple for real users. 💻 Development Expertise AI Developer services: smart assistants, workflow agents, SaaS tools, AI Developer zapier workflows, document analysis, recommendation logic, and business copilots. AI Integration Specialist work: OpenAI, Claude, vector search, Airtable, CRMs, internal databases, n8n, make com, Slack, Stripe, and custom APIs. Python developer work: backend logic, automation, data pipelines, scraping, reporting, API services, background workers, integrations, and analytics. Python Django developer work: SaaS backends, admin panels, authentication, permissions, dashboards, REST APIs, PostgreSQL, Celery, Redis, and secure architecture. JavaScript: React interfaces, dynamic web apps, dashboards, interactive workflows, API-driven screens, and modern frontend development. Machine Learning: NLP, LLM workflows, predictive analytics, AI Machine Learning features, recommendations, classification logic, and business intelligence. 🧠 Use Cases I Can Build AI Developer Langchain projects for SaaS startups, agencies, internal teams, marketplaces, fintech, real estate, operations, and e-commerce. AI Integration for customer support, sales, operations, research, reporting, content workflows, document automation, and internal knowledge systems. Python developer geospatial solutions, Python Full stack platforms, Python AI developer tools, data scientist workflows, web scraping systems, and API Integration pipelines. Full stack developer support for web developer tasks, backend architecture, frontend delivery, automation, dashboards, and production-ready product development. 🔧 How I Approach Projects First, I clarify your goals, process, users, data, integrations, and business priorities. Then I design a practical architecture and build step by step, with attention to reliability, security, performance, and future scaling. For AI Integration, I focus on prompt quality, context structure, data sources, fallback logic, logging, testing, and human review. A strong AI Integration is not just a model call; it is a complete workflow that fits your business. I can also join projects at different stages: early MVP planning, rebuilding legacy workflows, improving existing AI tools, or scaling a working platform. My focus is always on practical delivery, clear communication, clean code, and measurable business value. I’m comfortable working with founders, agencies, product teams, and non-technical clients who need a reliable technical partner, not just a coder. I can help define the MVP scope, choose the right stack, estimate the effort, and then build the product step by step with demos, feedback loops, and stable deployment. If you need a reliable AI Developer who can combine AI Integration, Python developer expertise, JavaScript, Machine Learning, web developer experience, and full-cycle delivery, I can help you build and launch a product that works.

Tired of unreliable weather guesses costing you money? I deliver precise, actionable forecasts that help businesses mitigate risks and capitalize on weather patterns. With 5 years in operational meteorology, I bridge the gap between complex atmospheric science and your real-world needs. 1. Why My Forecasts Win? • 90% accuracy rate on high-impact weather events. • Develop optimized weather forecasting systems for HPC/cloud (EC2), built for 24/7 reliability and easy scaling. • Turn NOAA data, WRF models, weather radar and satellite imagery into clear business recommendations. • AI-enhanced modeling that spots risks standard forecasts miss. • Beyond traditional forecasts: using atmospheric science to predict nature's light shows. • Making the unpredictable predictable: advancing clear air turbulence forecasts in aviation. • Assess extreme weather trends with NEX-GDDP across RCP4.5 and RCP8.5. 2. Skills: • Numerical weather prediction models (NWP): WRF, GFS, ECMWF, ICON-D2, AROME,… • Python-driven data analysis • Visualization: weather map, vertical cross section, Skew-T,… by using matplotlib, d3.js,… • Converting and processing meteorological data format file (NetCDF4, GRIB, HDF5,…)

Top Rated Plus on Upwork | Top 10 Machine Learning Agency on Upwork | 8+ Years in Production AI Agents, RAG, LLM Integration I'm an AI Engineer building production-grade AI agents and RAG systems, not simple prompt wrappers. With 8+ years in software and AI engineering and $500K+ earned on Upwork, I hold Top Rated Plus status, and our team is ranked among the Top 10 Machine Learning agencies on the platform. I work with companies that need an AI system to actually run in production, handle real user traffic, and stay accurate, not a demo that breaks on the first edge case. As an AI Engineer, my core work covers retrieval-augmented generation pipelines, agentic workflows with tool calling and structured outputs, prompt engineering, and LLM integration with OpenAI, Anthropic, and Gemini APIs. This is exactly the kind of system clients need an AI Engineer for: not a chatbot that answers FAQs, but an agent that retrieves the right information, calls the right tools, and follows through on what the user actually needs, with hallucination reduction and evaluation built in from the start. As an AI Engineer with a deep computer vision background, I also build multimodal AI systems where vision and language work together. This includes Vision Language Models (VLMs) for image and video understanding, computer vision agents that combine object detection or pose estimation with LLM reasoning, and pipelines where a model needs to interpret visual input before generating a response or taking an action. Practical examples from my work: an LLM coaching backend that receives skeletal joint data from a pose estimation model and generates personalized athlete feedback, a multimodal document intelligence system that processes scanned PDFs using OCR and vision models before passing structured data to an LLM for extraction, and a synthetic dataset generator that uses a VLM for zero-shot bounding box annotation. Most AI Engineers only work with text. I bring production computer vision and machine learning experience on top of the LLM layer, which matters for any product where the AI needs to see, not just read. On the engineering side, I work as a Python developer building backend services with FastAPI, vector databases like Pinecone or pgvector, and LangChain or custom orchestration for multi-step agent logic. When a project needs full ownership of both the AI layer and the surrounding application, I work as a Full Stack AI Developer, handling backend APIs, database design, and frontend integration so the AI system ships as a complete product, not just a backend script. I also work as a Data Scientist when a project needs predictive models or structured data analysis alongside the AI agent itself. I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope larger systems, split orchestration, retrieval, and evaluation work across the team, and deliver a full AI Engineer engagement faster than a solo contributor could, with the software engineering discipline of clean APIs, logging, and testing baked in from day one. Clients typically work with me when they need: - an AI Engineer to build a RAG pipeline, AI agent, or chatbot that actually works in production - a Full Stack AI Developer to own both the AI backend and the application around it - an AI Developer to diagnose and fix an existing chatbot or LLM system that's hallucinating or underperforming - a Python developer who understands LLM orchestration, tool calling, and vector search - a Machine Learning Engineer or Data Scientist to add predictive or computer vision components to an AI product If you need an AI Engineer with the full stack from prompt design to deployed API, let's talk. Main stack: Python, OpenAI API, Anthropic Claude, Gemini, LangChain, LangGraph, LlamaIndex, FastAPI, Pinecone, pgvector, Docker, PostgreSQL, React, Node.js, Git.

1000+ Scrapers Built | 1B+ Records Collected | 12+ Years Experience I build production-grade web scraping and data extraction systems that continue working where most scrapers fail. My work ranges from focused scraping tasks and custom web scrapers to large-scale data infrastructures designed for stability, scalability, and long-term reliability. Whether you need a small scraper, a medium-size data extraction tool, or a high-volume scraping pipeline — I design the right solution for your project stage, budget, and goals. You don’t just get a script — you get a reliable data collection system built around your business needs. I take full ownership of the technical data collection process so you can focus on strategy, growth, sales, or product development. Whether you're a startup validating an idea, a growing company building data pipelines, or an established business scaling large datasets — I design solutions that fit the stage and goals of your project. ============================== What I Build ============================== I combine Web Scraper development, Data Mining, API Integration, browser automation, reverse engineering, and ETL pipeline design into stable production systems. Core services: - Custom Python web scraper development - Web scraping and data extraction from public websites - Scalable web crawlers for large-volume data collection - Product scraper, real estate scraper, marketplace scraper, directory scraper, review scraper, price scraper, lead scraper, and business data scraper systems - Continuous data update pipelines - Batch and incremental ETL workflows - Queue-based distributed scraping architecture - High-concurrency crawling and data processing - API data extraction and backend integrations - Data cleaning, validation, deduplication, sanity checks, and anomaly detection - Structured delivery into PostgreSQL, MySQL, MongoDB, CSV, Excel, JSON, Google Sheets, APIs, or cloud storage You receive clean, structured, business-ready data — not fragile scripts that need constant supervision. ============================== Anti-Bot & Protected Websites ============================== Many modern websites are protected by advanced Anti-Bot and WAF systems. I work with complex scraping environments where stability requires more than proxy rotation. Experience includes: - Cloudflare protection, 403 / 429 errors, IUAM, Turnstile - DataDome behavioral detection - Akamai Bot Manager - PerimeterX - Rate limiting and IP bans - Browser and headless browser detection - Canvas / WebGL fingerprint exposure - HTTP/2 and TLS / JA3 fingerprint alignment - reCAPTCHA, hCaptcha, and challenge loops - Session, token, and authorization lifecycle management - Residential and mobile proxy routing strategies The goal is controlled, sustainable data access with realistic traffic patterns, stable sessions, monitoring, retry logic, and long-term reliability. ============================== Large-Scale Scraping & Cost Control ============================== At scale, most scraping systems fail in two ways: 1. Stability breaks when websites change or traffic grows. 2. Infrastructure and proxy costs become too expensive. I solve both by designing the right architecture from the beginning: - Distributed workers - Queue-based processing - Smart batching - Request optimization - Proxy rotation strategy - Concurrency control - Database ingestion optimization - Error handling and retry systems - Monitoring and heartbeat checks - Structural change detection - Protection-drift monitoring Where relevant, I optimize proxy and infrastructure usage to reduce operating costs while preserving system stability and throughput. The result: High uptime. Clean data. Predictable performance. Controlled costs. ============================== Technical Stack ============================== Languages & Scraping Frameworks: Python, Scrapy, Playwright, Selenium, Beautiful Soup, Requests Data & Storage: PostgreSQL, MySQL, MongoDB, CSV, Excel, JSON, Google Sheets, APIs, AWS S3, Cloud Storage Infrastructure: Docker, Redis, Celery, RabbitMQ, distributed workers, queue-based pipelines, cron jobs, cloud servers Network & Anti-Bot: Residential proxies, mobile proxies, proxy rotation, HTTP/2 fingerprinting, TLS / JA3 alignment, CAPTCHA solving APIs, session management, browser fingerprint stabilization ============================== Typical Projects ============================== - E-commerce product data scraping - Real estate listing and agent data extraction - Marketplace and aggregator scraping - Price monitoring and competitor intelligence - Business directory scraping - Lead generation datasets - Review and rating extraction - Travel, hotel, ticketing, event, and inventory data collection - AI/ML dataset creation - Large-scale crawler development - Scraping infrastructure for SaaS, PropTech, FinTech, marketplaces, and data products