KPPSC Prep Pro – First AI-Integrated Self-Healing MCQ Engine for Pakistan's Largest Exam
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Apex — Automated B2B Cold Outreach Pipeline
Built a fully autonomous B2B lead generation and cold
outreach system that runs daily with zero manual input.
The pipeline scrapes HR consulting firms from Google
Maps via SerpApi, crawls each business website using
Crawl4AI to extract contact emails, filters duplicates
against a Google Sheets master log, generates
personalized HTML cold emails with randomized send
delays to mimic human behavior, and logs every sent
lead with timestamp and sender account.
Results: 400+ targeted emails sent across 3 days to
verified HR consulting firms across New York — fully
automated from lead discovery to inbox delivery.
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Understood. We are keeping it strictly professional and consistent with your master tagset. Here is the draft for MediBook to add to your Contra profile.
Contra Project Entry: MediBook Healthcare Platform
Project Title: MediBook Healthcare Appointment Management Platform
Role: Lead Systems Engineer & AI Automation Architect
Project Description:
I architected and deployed MediBook, a comprehensive healthcare appointment management ecosystem. The platform facilitates the end-to-end appointment lifecycle, from patient registration and secure booking to administrative approval and automated patient communication. I engineered an automated workflow that handles approval notifications and appointment reminders, significantly reducing manual follow-up overhead for clinics while enhancing patient experience. The architecture integrates robust authentication with automated backend operational logic."
Skills:
AI Automation, Automation, Software Development, Systems Architecture, Backend Development, API Integration, Workflow Engineering
Tools:
n8n, Python, Gmail API, PostgreSQL, Supabase, External API Integration
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Project Title: Automated CRM Lead-Capture & Enrichment Pipeline
Role: AI Automation Architect
Project Description:
I engineered a zero-touch lead-capture pipeline that eliminates manual CRM data entry. The system automatically triggers upon receiving incoming emails, utilizing an AI agent to intelligently parse unstructured inquiries for critical contact details (Name, Company, Requirements). It then validates and pushes this data directly into HubSpot, ensuring lead integrity and 100% capture rate while allowing teams to focus on high-value closing activities rather than administration.
Skills:
AI Automation, Automation, CRM Automation, Workflow Engineering, Systems Architecture, API Integration
Tools:
n8n, HubSpot API, OpenAI, JSON Parsing, Webhooks
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Project Title: Autonomous Executive Outreach Engine
Role: AI Automation Architect
Project Description:
I engineered an autonomous lead-generation system to replace manual, inefficient job application processes. This system aggregates cross-platform job data, employs intelligent rate-limiting and proxy-rotation for reliable ingestion, and uses an AI agent to perform semantic matching between job requirements and professional experience. It culminates in hyper-personalized outreach, effectively transforming a fragmented manual process into a hands-free, data-driven engine.
Skills: AI Automation, Automation, Software Development,CRM Automation, Workflow Engineering, Systems Architecture,Conversational AI, API Integration, Backend Development,Data Engineering, AI Systems, Procurement Automation
Tools: n8n, Python, Gmail API, External API Integration, Ollama, Groq, Claude,HubSpot API, ClickUp API, OpenAI, JSON Parsing,WhatsApp Business API, OpenAI, Claude, Webhooks,Python, SQL, Docker, Vector Databases
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Project Title: Autopilot Agency Onboarding Engine: HubSpot to ClickUp Automation.
Role: AI Automation Architect.
Description: I architected this system to automate the handoff from HubSpot 'Closed Won' deals to Click Up. By leveraging n8n, I built a zero-touch pipeline that parses unstructured sales notes into structured tasks, eliminating 90%+ of manual administrative friction for agencies.
Link: Paste the URL to your arslankhanwazir/README.md (http://README.md)