Mahmoud samir's Work | ContraWork by Mahmoud samir
Mahmoud samir

Mahmoud samir

Business Automation Expert & n8n Systems Engineer

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Cover image for I designed and implemented a
I designed and implemented a sophisticated automation system for real estate wholesalers to instantly match new property deals with the most relevant cash buyers in their database. Technical Features: Intelligent Lead Intake: Developed a custom form trigger to capture property details (Price, ARV, Deal Type, Repair Costs). Advanced Scoring Algorithm: Wrote a custom JavaScript engine within n8n that ranks buyers based on multiple variables: geographic preference, deal type compatibility (Cash, Sub-To, Novations), budget alignment, and historical closing data. Real-time Database Integration: Automated data flow between Google Sheets (acting as a light CRM) and the matching engine. Instant Notifications: Configured a Telegram bot to deliver a "Top 5 Matches" summary to the user immediately after a deal is submitted, including match percentages and specific reasons for each match. Impact: This system eliminates hours of manual spreadsheet filtering, allowing wholesalers to identify and contact the best buyers for a deal within seconds, significantly increasing the speed of transaction closures.
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Cover image for I developed "Angie," a sophisticated
I developed "Angie," a sophisticated personal AI assistant integrated with Telegram that handles both voice and text commands to manage daily executive tasks autonomously. Technical Workflow & Features: Multimodal Input: Seamlessly processes Telegram voice notes (via OpenAI Whisper transcription) and text messages. Intelligent Agent Core: Built using n8n and LangChain, powered by GPT-4 to understand complex natural language requests. Tool Integration & Action: Email Management: Summarizes Gmail threads and filters out promotions automatically. Calendar Coordination: Fetches and manages Google Calendar events with smart date filtering. Task & CRM Tracking: Integrates with Baserow to manage personal tasks and contact information in real-time. Memory & Context: Implemented a Window Buffer Memory to ensure the assistant maintains context throughout long conversations. Security: Built a custom AllowList authentication layer to ensure only authorized users can access the assistant. Impact: This project demonstrates the ability to create a "central brain" for personal productivity, reducing the need to switch between multiple apps and providing a hands-free executive experience.
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