✅ 13+ years of experience ✅ 160+ projects delivered ✅ Excelling in delivering Fortune 500-scale projects 🐍 Python, 🧠 Deep Learning, 👁️ Computer Vision, 🗣️ NLP, 🤖 MLOps, 🐳 Docker, ☁️ AWS, 🔄 CI/CD, 🔍 Vector Databases, 💬 LLM Chatbots Hi, I’m Tayyab, a Senior Python Developer and AI Engineer with over 11 years of industry experience specializing in Python programming, Machine Learning, Deep Learning, and Computer Vision. I excel at transforming complex ideas into scalable, high-impact AI solutions. My expertise includes building robust ML models, optimizing data pipelines, and deploying intelligent systems for industries worldwide. 🚀 AI & Machine Learning: Expert in developing and optimizing ML models using Python libraries like Scikit-learn, OpenCV, and NumPy for predictive analytics, data processing, and computer vision. 🧠 Deep Learning: Proficient in PyTorch, TensorFlow, and Keras for neural network development in NLP, image processing, and more. 👁️ Computer Vision: Skilled in object detection, OCR, and image analysis with OpenCV and custom models for scalable solutions. 💬 NLP & Chatbots: Experienced in text classification, summarization, and building advanced RAG-based chatbots using LLMs like GPT, Claude, Llama, and Gemini. 🔄 MLOps & CI/CD: Expertise in model deployment, pipeline optimization, and containerization with Docker and Kubernetes, plus CI/CD with Jenkins and GitHub Actions. ☁️ Cloud Computing: Proficient in AWS (EC2, CloudWatch) and GCP (BigQuery, Vision AI) for scalable, high-availability applications. 🔍 Vector Databases: Hands-on experience with Pinecone, Milvus, Qdrant, and Faiss for optimized data retrieval and similarity search. Let’s collaborate to bring your AI, Machine Learning, or Python project to life with innovative, high-quality solutions!

🌟 𝐆𝐫𝐚𝐛 𝐚 𝐅𝐫𝐞𝐞 𝟒𝟎-𝐌𝐢𝐧𝐮𝐭𝐞 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 – let's map out the plan. Need a React Developer who ships full-stack products on time? I build SaaS platforms, marketplaces, and web apps with React, Django, and Next.js - 9+ years, 30+ projects delivered, Top Rated Plus on Upwork. I combine senior React front-end work with deep Django/Python back-end architecture - so you get one engineer who owns the full product, not a hand-off chain. I've led dev teams of up to 4 engineers and served as software architect on 2 engagements, which means I scope projects to avoid mid-build surprises. Most of my clients come back for the next project because I communicate clearly, respond fast, and deliver without drama. 𝐓𝐫𝐚𝐜𝐤 𝐫𝐞𝐜𝐨𝐫𝐝 5 years on Upwork, 22 clients served, 1,000+ hours delivered, 100% Job Success Score, Top Rated. I've shipped 30+ Django REST Framework APIs and 20+ full-stack web applications from scratch, with [4/5] years leading dev teams and 2 as a software architect – which means I know how to scope a project so it doesn't blow up halfway through. 𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 -Backend: Python, Django, Django REST Framework, FastAPI, Flask, Node.js, Express.js, NestJS -Frontend: React.js, Next.js, TypeScript, JavaScript, Redux, Tailwind CSS, Material UI -Mobile: React Native (cross-platform Android/iOS) -AI Integration: OpenAI API, ChatGPT integration, AI-assisted features, recommendation systems -Database & Cloud: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, AWS, Azure, Digital Ocean, Firebase, Supabase -DevOps: Docker, Kubernetes, Nginx, GitHub Actions, CI/CD pipelines -Payments: Stripe integration, Authorize.net, subscription billing, invoicing -Real-Time Systems: WebSocket, Django Channels, Daphne, live chat, real-time notifications -Testing: Unit testing, integration testing, Pytest Additional: API integrations, third-party API development, SaaS development, MVP development, legacy code refactoring, code review, technical consulting. 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 Healthcare, real estate tech, telecom and ETL systems, e-commerce, HR tech, marketplaces, video/SaaS tools, data privacy and ML applications, booking and scheduling platforms, CRM and business automation. 𝐒𝐩𝐞𝐞𝐝 𝐭𝐨 𝐦𝐚𝐫𝐤𝐞𝐭 I prioritize fast delivery so you can start testing and generating revenue sooner. Custom architecture built on proven frameworks (Django, React, Next.js) means you're not paying to reinvent infrastructure - or to maintain something overengineered six months from now. 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 Straightforward updates, fast responses, no unnecessary meetings. I work async-friendly, so progress doesn't stall just because we're not online at the same time. 📩 Got a project in mind? Message me and I'll get back to you within a few hours. Or book a free 40-minute consultation directly- let's map out the plan together.

I am a Senior Python and Cloud engineer with 7+ years of experience building high-performance systems. My core focus is delivering the complete package: robust Python/FastAPI backends, secure multi-cloud infrastructure (DevOps) and intelligent AI Agent workflows that actually solve business automation problems. Instead of just writing code, I bridge the gap between AI, data pipelines and scalable infrastructure. This means your AI apps will not just work in a local demo: they will scale seamlessly, run securely in production and keep cloud costs minimal. 💼 Domain Expertise & Business Impact I have built and scaled systems across Fintech, Edtech, Crypto, Retail and the Legal space. I specialize in deploying Agentic AI to automate complex, multi-step workflows that directly impact the bottom line: Fintech & Crypto: Built secure, low-latency transaction and trading backend systems, automating risk assessment and data ingestion pipelines while ensuring strict data compliance and cost efficiency. Legal Tech & Compliance: Developed autonomous AI Agents and advanced RAG pipelines to automate document analysis, contract extraction and legal research—cutting manual review times by up to 80%. Edtech & Retail: Designed intelligent recommendation engines and automated customer lifecycle workflows that increased user engagement and streamlined operations. 🚀 Production-Grade AI Agents & Backends I do not just call APIs; I build multi-agent systems, autonomous workflows and production-ready RAG pipelines that operate reliably under load. AI & Agentic Workflows: Designing autonomous AI Agents, tool executors and multi-agent orchestration. Hands-on with LangChain, OpenAI APIs and advanced RAG. Vector Search: High-performance similarity search using Qdrant, FAISS and Redis Vector. Backend Scale: Building low-latency RESTful and WebSocket APIs using Python and FastAPI (utilizing Asyncio for high concurrency). Distributed Workflows: Complex task management and AI pipeline orchestration using Celery and Redis. ☁️ Cloud Architecture & DevOps As an AWS Architect with extensive GCP and Azure experience as well, I build infrastructure that is automated, monitored and cost-optimized from day one. Infrastructure as Code (IaC): 100% automated deployments using AWS CDK, Terraform and CloudFormation. Containers & Serverless: Extensive work with AWS Lambda, ECS, EKS, Fargate, GCP Cloud Run and Kubernetes. CI/CD & Observability: Setting up robust deployment pipelines (GitHub Actions, AWS CodePipeline) and end-to-end monitoring (CloudWatch, Prometheus, Grafana). Cost Management: Active budget tracking, resource rightsizing and architecture reviews to stop cloud budget leaks before they happen. 📊 Data Engineering & Event-Driven Pipelines AI systems are only as good as the data feeding them. I build the pipelines that move and process your data efficiently. ETL/ELT Pipelines: Designing reliable data flows for batch and real-time workloads using PySpark and SQL. Streaming & Event-Driven Systems: Real-time data routing with AWS Kinesis, GCP Pub/Sub and Redis streams. 🤝 How We Can Work Together Clients usually bring me in when they need someone who can take full ownership of a technical challenge. Whether you need to build an autonomous AI agent to automate internal operations, spin up a secure cloud environment from scratch or scale an existing Python application, I deliver clean, documented and production-ready code. If you have a project that requires a mix of backend stability, DevOps automation and modern AI capabilities, send me a message and let's jump on a brief call to map out the architecture.

I am a full-stack software engineer with more than 8 years of experience, specializing in full stack development with a strong handle on business process and QA automation. Core competencies: ➢ AI/ML: AI Document Processing | AI Business Automation | AI Voice | AI Chatbots | AI Agents | AI Transcription | Machine Learning ➢ Automation (Selenium): Object Repository | Checkpoints | Object Identification | Descriptive Programming | Recovery Scenario Manager | Selenium WebDriver/IDE, UFT(QTP), TestNG, Junit. ➢ PHP: Laravel | Codeigniter | Yii | CorePHP | CakePHP | Drupal | WordPress ➢ Python: Django | Flask | ➢ JavaScript: React | Node | Angular | Vue | Next | Nuxt | React Native ➢ Databases: MySQL | MSSQL | DynamoDB | MongoDB ➢ Source Code Management: Git | Bitbucket | Gitlab ➢ Extensive Experience in performing manual and Automation Testing using Selenium WebDriver/IDE, UFT(QTP), Software Testing Life Cycle (STLC). ➢ Project Management: Jira | Trello | Asana Want to work together? Great! Let's open a communication channel & I will be glad to partner up with you.

I'm Ashik Zinnat Khan, a senior full-stack developer specializing in back-end development using Python and Django. I have more than 10 years of development experience and am willing to take on new challenges. The types of projects that I'm most interested in are: - Django - Django REST Framework - Flask - FastAPI - AI Chatbot Development - RAG Chatbot - AI Service Integration (OpenAI, Mistral, Claude) - Node.js - Docker - React, Next.js, Angular - DevOps & Deployment (AWS, DigitalOcean, Linode) - Kodi add-on development If you have a project that you would like to get me involved in, please don't hesitate and let's connect. Thanks for visiting my profile!

👋 Hi, I’m a 🏆 ⭐️⭐️⭐️⭐️⭐️Top Rated Python Data Engineer & Data Visualization Expert at GroupBWT - a 100+ person data engineering company and official AWS, Snowflake & Databricks partner, building enterprise data systems since 2009. As a Python Big Data Engineer, I specialize in designing scalable data systems. My role as a Big Data Engineer is focused on building reliable pipelines, automation, and analytics infrastructure. Every Python Data Engineer decision I make is oriented toward scalability, performance, and data reliability. I work as a Big Data Engineer and Python Data Engineer on enterprise-grade systems where architecture matters for both ingestion and transformation layers. As a Data Engineer, I ensure that raw data becomes structured, usable, and ready for business intelligence. Here’s how I support our clients as a Python Big Data Engineer: ✅ Our ETL pipelines process over 100 million records monthly across major cloud data warehouses
 ✅ My solutions reduce manual reporting effort by up to 80% through end-to-end automation
 ✅ We build Python Data Engineer workflows for integrating and transforming complex datasets ✅ Every pipeline is tested and quality-checked to meet enterprise data standards 🔁 What I Do as a Python Azure Data Engineer and azure data engineer ⚙️ Data Engineering (Python AWS Data Engineer Core Work) 🔹 API & event-based ingestion using Python Data Engineer best practices 🔹 Python + SQL transformations 🔹 Data modeling, schema design, enrichment 🔹 ETL/ELT into Snowflake, Databricks, BigQuery with Python Data architecture 🔹 Monitoring, retries, observability & data quality testing for Python Data pipelines 🔹 CI/CD for pipelines & cloud cost optimization as a Python Data Engineer Platforms I’ve delivered as a Python Data Engineer process 100M+ records/month, integrate 30–80+ APIs, and power real-time BI environments. 📊 Data Visualization & BI (Python gcp Data Engineer Perspective) 🔹 I bridge raw data with business decisions as a Python gcp Data Engineer 🔹 Power BI, Looker Studio & Tableau dashboards connected by Python GCP Data Engineer pipelines 🔹 Executive KPI reporting built by a Python AWS Data Engineer 🔹 Semantic layer & metric standardization in Python Data Engineer systems 🔹 Real-time reporting (<5 min latency) enabled by Python Data Engineer architecture 🔹 BI performance optimization from a Python Data Engineer point of view 🔹 Data storytelling for leadership & operations powered by Python Data Engineer workflows My solutions as a Python Data Engineer reduce manual reporting effort by up to 70-80% and significantly improve forecasting accuracy. 🧩 Recent Experience (Python Data Engineer and Machine Learning Projects) 🔹 Retail & eCommerce Data Warehousing (Python Data Engineer) Built ingestion + normalization pipelines for 120+ eCommerce sources, syncing ~500K SKUs/day into Snowflake / BigQuery using Python Data Engineer architecture. 🔹 FinTech Ingestion & Reporting Layer (Python Data Engineer ) Delivered automated pipeline pulling from 30+ sources (APIs, DBs, files), built with Python Data Engineer logic for validation, transformation, and reporting. 🔹 Government ETL & Document Processing (Python Azure Data Engineer | Data Analyst) Automated processing of 10K+ documents/day using Python Azure Data Engineer workflows and Machine Learning: extraction, classification, mapping, and database loading. 🔹 Healthcare Data Normalization & Compliance (Python AWS Data Engineer | Data Analyst) Cleaned millions of records using Python AWS Data Engineer pipelines with Machine Learning, schema mapping, PII-aware handling, and reproducible transformations. 🔹 Large-scale Cloud Migrations (Python Data Engineer | Data Analyst) Migrated legacy systems into BigQuery/Snowflake using Python Data Engineer architecture with Machine Learning, incremental loads and automated pipelines. 💻 Tech Stack (Python Data Engineer | Data Analyst Toolkit) ⚙️Languages: Python, SQL, DAX, Power Query, PySpark, Scala, Bash/Shell, JavaScript, etc.
 ⚙️Data Engineering & Processing: PySpark, dbt, Airflow, Prefect, CDC, REST & GraphQL, etc.
 ⚙️Data Warehouses & Databases: Snowflake, Databricks, BigQuery, AWS, PostgreSQL, MSSQL
 ⚙️Cloud Platforms: AWS: S3, Glue, Lambda, CloudWatch, Athena, Redshift, BigQuery, Dataflow
 ⚙️Data Modeling & Architecture: Star schema, Snowflake schema, Lakehouse architecture, etc.
 ⚙️Monitoring & Data Quality: dbt, Prometheus, Grafana, AWS CloudWatch, GCP Monitoring, etc.
 ⚙️BI & Visualization: Power BI (Desktop, Service), Tableau, Looker Studio, Metabase, etc.
 ⚙️DevOps & CI/CD: Git, GitHub, GitLab CI, Docker, Terraform, etc. 🚀 If you need automated pipelines, clean data models, and executive-level dashboards - as a Python Data Engineer and Data Analyst I can help you build a robust system from end to end. ➡️ Invite me to your job and let’s design a scalable data strategy with a Python Data Engineer leading the way. Last updated June 15, 2025

⚡ Top Rated Plus AI Automation Expert & Full Stack Python Developer with 8+ years of experience building AI Agents, RAG systems,Web automations, Data Extraction solutions, workflow automation, and document intelligence solutions using OCR,n8n, LangChain, FastAPI, and LLMs (OpenAI, Claude, Gemini, ChatGPT).⚡ I help businesses automate operations, process documents, extract valuable data, integrate AI into workflows, and build production-ready systems that reduce manual effort by 70-90%. 𝗦𝗣𝗘𝗖𝗜𝗔𝗟𝗜𝗭𝗔𝗧𝗜𝗢𝗡𝗦 ◆ AI Agent Development ◆ Workflow Automation (n8n) ◆ OCR & Intelligent Document Processing ◆ PDF, Invoice & Form Extraction ◆ Web Scraping & Browser Automation ◆ Lead Generation & Data Enrichment ◆ Google Maps & Business Data Extraction ◆ Data Mining & ETL Pipelines ◆ FastAPI & Backend Development ◆ API Integrations & Custom Automation 𝗧𝗘𝗖𝗛𝗡𝗢𝗟𝗢𝗚𝗜𝗘𝗦 Python, FastAPI, OpenAI, Claude, Gemini, LangChain, OpenClaw, n8n, Selenium, Playwright, Scrapy, BeautifulSoup, Requests, Tesseract OCR, PaddleOCR, EasyOCR, OpenCV, PostgreSQL, MySQL, Redis, Docker, AWS, REST APIs 𝗥𝗘𝗖𝗘𝗡𝗧 𝗦𝗢𝗟𝗨𝗧𝗜𝗢𝗡𝗦 ◆ AI Agents for Customer Support & Lead Qualification ◆ OCR Systems for Invoices, Forms & Bank Statements ◆ Large-Scale Web Scraping & Monitoring Platforms ◆ Business Lead Generation & Data Enrichment Systems ◆ Google Maps & Local Business Data Extraction ◆ Document Processing & PDF Automation ◆ AI Workflow Automation using n8n ◆ Speech-to-Text & Transcription Solutions ◆ Custom FastAPI APIs & Backend Systems I focus on delivering reliable automation solutions that turn manual workflows into scalable systems, helping businesses collect data faster, process documents efficiently, and automate day-to-day operations.

𝐒𝐞𝐧𝐢𝐨𝐫 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 | 𝐀𝐈/𝐌𝐋 | 𝐒𝐚𝐚𝐒 & 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 | 𝐔𝐈/𝐔𝐗 𝐃𝐞𝐬𝐢𝐠𝐧 I am a Senior Software Engineer with 9 years of experience focused on building modern web applications, SaaS platforms, enterprise systems, and AI-powered products. My expertise covers full stack development, system design, cloud infrastructure, databases, and AI integration. 𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝: React, Next.js, Angular, Vue, TypeScript, JavaScript Tailwind CSS, Material UI UI/UX design and responsive interfaces 𝐁𝐚𝐜𝐤𝐞𝐧𝐝: Node.js, NestJS, Express.js Python, FastAPI, Django REST APIs, GraphQL, microservices 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: OpenAI (GPT-4.1, GPT-4o), Anthropic Claude, Google Gemini LangChain, LangGraph, LlamaIndex RAG systems, AI agents, multi-agent workflows Vector databases (Pinecone, Weaviate, FAISS, ChromaDB) Prompt engineering and AI automation workflows 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐚𝐭𝐚: AWS, Azure, Google Cloud Docker, Kubernetes, CI/CD pipelines PostgreSQL, MySQL, MongoDB, Redis 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝: SaaS platforms, enterprise applications, AI-powered systems, automation tools, API-driven backends, and multi-tenant architectures. 𝐅𝐨𝐜𝐮𝐬 𝐀𝐫𝐞𝐚𝐬: System design, backend architecture, cloud-native development, database optimization, authentication systems, performance tuning, and production support. 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡: I build reliable, maintainable systems with a focus on clean architecture, practical problem solving, and real business value. I work with startups, SaaS companies, and enterprise teams to deliver production-ready solutions. 𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐅𝐨𝐫: Full stack development, AI/ML engineering, SaaS development, enterprise systems, and long-term technical roles. 𝐋𝐞𝐭’𝐬 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬 𝐭𝐡𝐚𝐭 𝐬𝐨𝐥𝐯𝐞 𝐫𝐞𝐚𝐥 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬, 𝐬𝐜𝐚𝐥𝐞 𝐰𝐢𝐭𝐡 𝐜𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐜𝐞, 𝐚𝐧𝐝 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐦𝐞𝐚𝐬𝐮𝐫𝐚𝐛𝐥𝐞 𝐢𝐦𝐩𝐚𝐜𝐭. 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬 Full Stack Developer, Senior Software Engineer, AI Engineer, Machine Learning Engineer, SaaS Development, Enterprise Software, UI/UX Design, React Developer, Node.js Developer, NestJS, FastAPI, Python Developer, TypeScript, JavaScript, REST API, GraphQL, Microservices, AWS, Azure, Google Cloud, Docker, Kubernetes, CI/CD, PostgreSQL, MongoDB, Redis, LangChain, LangGraph, RAG Systems, AI Agents, Prompt Engineering, Vector Databases, Software Architecture, System Design, Backend Developer, Frontend Developer, Cloud Engineer, DevOps, API Development, Scalable Systems

I build Python automation systems, APIs, and bots that replace manual work and scale processes. From web scraping pipelines to Telegram bots and real-time monitoring platforms. I focus on solving the actual problem, not just writing code. What I build: • Automation systems that replace manual workflows (scraping, bots, scheduled tasks) • Backend APIs using Python & FastAPI (clean, scalable, well-structured) • Third-party API & webhook integrations (Stripe, Telegram, custom services) • Data pipelines & processing systems (collection → transformation → delivery) • Telegram bots with real-time alerts, commands, and business logic • Database design & management (PostgreSQL, structured & scalable) I don’t just write scripts - I build and run real systems used by actual users. Here are two platforms I developed from scratch: 1. CryptRadar Real-time cryptocurrency monitoring platform with active users and paid subscriptions. • Live data tracking & alert system • Telegram bot with advanced monitoring logic • Subscription system & payments • Fully deployed backend (PostgreSQL, APIs, automation) 2. Priceint Competitor price tracking platform for e-commerce businesses. • Custom scraping engine (handles JS-heavy sites + structured data) • Real-time price & stock alerts via Telegram • Multi-tenant SaaS with subscriptions & team workspaces • Analytics dashboard (price history, trends, opportunity detection) • XLSX exports, admin panel, and full backend infrastructure Both systems are built as real, production-ready products, not just demos. I also run Devlores ( devlores com ), backend development studio where I take on client projects alongside my own products. Before I start write anything I make sure I actually understand what needs to be solved. I keep things simple, well documented, and easy to maintain or build on later. Clear communication and delivery is key, and that's what you can expect from me. If you need something automated, integrated, or built from scratch - send me a message. I’ll quickly tell you if I can solve it and how I’d approach it.

I help businesses automate repetitive work by building reliable scraping systems, data pipelines, and workflow automation tools. Over the last 15+ years, I’ve worked on projects involving large-scale web scraping, Excel/VBA automation, API integrations, eCommerce product pipelines, reporting systems, and structured data processing. Most of my recent work focuses on: • Web scraping and browser automation • Data extraction from marketplaces, directories, and dynamic websites • Backend automation workflows • Scheduled scraping pipelines • Data cleaning, normalization, and deduplication • Excel, Google Sheets, and database integrations I’ve worked on systems involving: • Ticketmaster inventory/event pipelines • WooCommerce vendor-feed automation • Marketplace monitoring and pricing workflows • Product catalog processing • Public-record and structured dataset extraction • Large CSV/database processing systems Tools I commonly work with: Python, Playwright, Selenium, Requests, BeautifulSoup, VBA, APIs, PostgreSQL, MySQL, SQL Server, Google Sheets, Excel automation. I focus on building automation systems that are stable, maintainable, and actually useful long-term — not just quick scripts that break after a few weeks. I’m comfortable working on: • One-time extraction projects • Ongoing scraping/monitoring systems • Data cleanup and processing workflows • Backend automation support • Long-term maintenance projects If you need reliable automation and clean structured data, I’d be happy to discuss your project.