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Combines Python scrapers (BeautifulSoup, Apify actors) with an n8n pipeline that deduplicates, enriches, and segments contacts into HubSpot lists for targeted campaigns.</p>\n<h2>Key Features</h2>\n<ul>\n<li>Python + Apify scrapers for high-volume email extraction</li>\n<li>Email validation and dedup before HubSpot import</li>\n<li>Automatic list segmentation based on source and enrichment</li>\n<li>Idempotent imports safe to re-run after failures</li>\n<li>Structured logs for compliance and auditability</li>\n</ul>"}},{"node":{"frontmatter":{"date":"2026-03-27","title":"Revolut Business ↔ Notion Reservations","tech":["n8n","Revolut Business API","Notion API","Webhooks","OAuth2"],"github":"","external":"","company":null},"html":"<p>An <strong>n8n workflow</strong> that connects <strong>Revolut Business</strong> and <strong>Notion</strong> to automate payments, reconciliation, and reporting for a short-term rental operator. Incoming Revolut transactions are matched to Notion reservation records, mismatches are flagged, and daily/weekly financial summaries are generated automatically.</p>\n<h2>Key Features</h2>\n<ul>\n<li>Revolut Business webhook listener for real-time transaction ingestion</li>\n<li>Auto-matching of transactions to Notion reservation IDs</li>\n<li>Exception queue for unmatched payments</li>\n<li>Scheduled daily and weekly reports written back to Notion</li>\n<li>OAuth2 and API key security with rotating credentials</li>\n</ul>"}},{"node":{"frontmatter":{"date":"2026-02-15","title":"Hostyo Owner Portal","tech":["Next.js 15","TypeScript","Notion API","Tailwind CSS","NextAuth","Vercel"],"github":"","external":"https://hostyo.com/","company":null},"html":"<p>Property management owner portal built with <strong>Next.js 15</strong> and <strong>TypeScript</strong>, using <strong>Notion as a headless backend</strong> to give hosts live visibility into reservations, payouts, expenses, and property performance. Integrates with OAuth providers for secure multi-tenant access and renders financial dashboards with real-time sync to Notion databases.</p>\n<h2>Key Features</h2>\n<ul>\n<li>Notion-backed data layer with typed API routes and caching</li>\n<li>Multi-tenant authentication with role-based access</li>\n<li>Financial dashboards (reservations, payouts, expenses)</li>\n<li>Server-side rendering with Next.js App Router</li>\n<li>Deployed on Vercel with preview environments per branch</li>\n</ul>"}},{"node":{"frontmatter":{"date":"2026-01-20","title":"Close CRM ↔ Outlook Calendar Sync","tech":["n8n","Close CRM API","Microsoft Graph API","OAuth2","Webhooks","JavaScript"],"github":"","external":"","company":null},"html":"<p>An <strong>n8n</strong> automation that keeps <strong>Close CRM</strong> tasks and <strong>Microsoft Outlook Calendar</strong> events in sync bi-directionally. Close task changes fan out to Outlook via the Microsoft Graph API, and calendar updates are pushed back into Close tasks. Built with webhook triggers, OAuth2 token refresh, and custom JavaScript nodes for conflict resolution.</p>\n<h2>Key Features</h2>\n<ul>\n<li>Bi-directional sync between Close CRM tasks and Outlook events</li>\n<li>Webhook-driven real-time updates (no polling)</li>\n<li>Conflict resolution for simultaneous edits on both sides</li>\n<li>OAuth2 token refresh handled inside the workflow</li>\n<li>Error handling with Slack alerts and retry queues</li>\n</ul>"}},{"node":{"frontmatter":{"date":"2025-12-10","title":"Automated Outreach System (Unipile + Dripify)","tech":["n8n","Unipile API","Dripify","LinkedIn","OpenAI","Google Sheets"],"github":"","external":"","company":null},"html":"<p>A fully automated <strong>lead generation and outreach system</strong> that combines <strong>Unipile</strong> and <strong>Dripify</strong> to run multi-channel campaigns across LinkedIn and email. Leads are enriched, scored, and personalized with <strong>OpenAI</strong> before being pushed into Dripify sequences, with results logged to Google Sheets and the CRM.</p>\n<h2>Key Features</h2>\n<ul>\n<li>Multi-channel outreach (LinkedIn + email) via Unipile</li>\n<li>AI-personalized first lines generated with OpenAI</li>\n<li>Rate-limit-aware scheduling to protect sender reputation</li>\n<li>Reply detection with automatic campaign pause and handover</li>\n<li>Centralized reporting in Google Sheets and CRM</li>\n</ul>"}},{"node":{"frontmatter":{"date":"2025-11-05","title":"Complex PDF Data Extraction","tech":["Python","AWS Textract","OpenAI","LangChain","FastAPI","Pydantic"],"github":"","external":"","company":null},"html":"<p>A <strong>PDF data extraction service</strong> that turns complex, mixed-layout PDFs (invoices, contracts, reports) into <strong>structured JSON with 100% accuracy</strong>. Combines AWS Textract for OCR, OpenAI + LangChain for semantic post-processing, and Pydantic schemas for strict validation before handing data off to downstream automations.</p>\n<h2>Key Features</h2>\n<ul>\n<li>AWS Textract OCR with layout-aware parsing</li>\n<li>LLM post-processing to normalize and enrich fields</li>\n<li>Pydantic schema validation with human-in-the-loop fallback</li>\n<li>FastAPI endpoint with async batch support</li>\n<li>Audit log of every extraction for compliance</li>\n</ul>"}},{"node":{"frontmatter":{"date":"2024-04-01","title":"Climate Change Prediction","tech":["Django","Python","Machine Learning","JSON","HTML","CSS"],"github":"https://github.com/hamzaabialal/climatechange","external":"https://github.com/hamzaabialal/climatechange","company":null},"html":"<p>This project is a web-based platform that provides climate change predictions for countries around the world for the next 50 years. The application is built using Django, a powerful web framework, and utilizes JSON data generated through ChatGPT, containing detailed climate projections for various countries. The platform allows users to select specific countries and view their projected climate trends over the next five decades.</p>\n<h2>key features</h2>\n<ul>\n<li>Django Framework</li>\n<li>Back-End Web Development</li>\n<li>Python (Programming Language)</li>\n<li>Django Templates</li>\n<li>Machine Learning Integration</li>\n<li>Country-specific Climate Data</li>\n<li>Interactive Data Visualization</li>\n<li>Long-term Climate Projections</li>\n</ul>"}},{"node":{"frontmatter":{"date":"2024-03-01","title":"Image Processing Project","tech":["Python","OpenCV","Image Processing","Algorithms","Encryption","Steganography","Security Engineer"],"github":"https://github.com/hamzaabialal/imageprocessing","external":"https://github.com/hamzaabialal/imageprocessing","company":null},"html":"<p>This project aims to build a web-based application that allows users to upload images and perform encoding and decoding operations on them. The platform is powered by Django, a robust web framework for rapid development, and uses Django templating to dynamically render user interfaces.</p>\n<h2>Key Features</h2>\n<ul>\n<li>Django Framework</li>\n<li>Image Upload Functionality</li>\n<li>Encoding/Decoding Operations</li>\n<li>Django Templates</li>\n<li>User-friendly Interface</li>\n<li>Secure Image Processing</li>\n</ul>"}},{"node":{"frontmatter":{"date":"2024-02-01","title":"Brain Tumor Detection","tech":["Django","Python","Machine Learning","Deep Learning","EfficientNet","HTML"],"github":"https://github.com/hamzaabialal/tumor_detector","external":"https://github.com/hamzaabialal/tumor_detector","company":null},"html":"<p>This project focuses on developing a web-based application for detecting brain tumors using deep learning models, specifically the EfficientNet architecture. The platform is built using Django, a powerful web framework for building scalable and maintainable web applications, and incorporates Django's templating system for rendering user interfaces dynamically.</p>\n<h2>Key Features</h2>\n<ul>\n<li>Django Templates</li>\n<li>Django Framework</li>\n<li>Machine Learning</li>\n<li>Back-End Web Development</li>\n<li>HTML Interface</li>\n<li>AI Agent Development</li>\n<li>EfficientNet Deep Learning Model</li>\n<li>Medical Image Analysis</li>\n<li>EfficientNet Deep Learning Model</li>\n<li>Real-time Tumor Detection</li>\n<li>Web-based Medical Interface</li>\n</ul>"}},{"node":{"frontmatter":{"date":"2023-10-01","title":"Ecommerce Website","tech":["Django","Python","Stripe API","Backend Developer","SQL","Responsive UI","E-commerce Optimization"],"github":"https://github.com/hamzabialal/ecommercewebsite","external":"https://github.com/hamzabialal/ecommercewebsite","company":null},"html":"<p>Explore the heart of eCommerce technology as I craft the backend of a dynamic online store using the power of Django and Python. Witness the seamless integration of databases, user management, and intricate functionalities that make the shopping experience exceptional. Discover how this robust combination forms the backbone of a successful eCommerce website.</p>\n<h2>Key Features</h2>\n<ul>\n<li>Back-End Web Development</li>\n<li>Python (Programming Language)</li>\n<li>Database Integration</li>\n<li>Django Framework</li>\n<li>User Management System</li>\n<li>Shopping Cart Functionality</li>\n<li>Product Catalog Management</li>\n<li>Order Processing System</li>\n</ul>"}},{"node":{"frontmatter":{"date":"2023-09-01","title":"Plot Listing Project","tech":["Django","Python Developer","Database Management","Real Estate Web App","CRUD Operations","PostgreSQL"],"github":"https://github.com/hamzaabialal","external":"","company":null},"html":"<p>A comprehensive plot listing and management system built with Django. This project provides a platform for listing, managing, and showcasing real estate plots with advanced search and filtering capabilities.</p>\n<h2>Key Features</h2>\n<ul>\n<li>Back-End Web Development</li>\n<li>Python (Programming Language)</li>\n<li>Django Templates</li>\n<li>Django Framework</li>\n<li>Plot Management System</li>\n<li>Advanced Search Functionality</li>\n<li>User-friendly Interface</li>\n<li>Database Integration</li>\n</ul>"}}]}},"pageContext":{}},
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