S

Samad

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AI Engineer & Automation Developer | n8n | RAG Pipelines | LLM Integration | Data Analytics
Bahawalpur, Punjab, Pakistan
Contact Samad regarding: 
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Full-time jobs
Starting at USD1.2k/month

Timeline

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Résumé

Jobs verified_user 0% verified
  • T
    AI Engineer & Automation Lead
    TenderOne Cocktail Unlimited B.V.
    Jan 2026 - Current (9 months)
    • Architected full end-to-end AI invoice processing pipeline using n8n, processing 1,700+ invoices with OCR, UBL transformation, supplier resolution, and PO matching
    • Built multi-agent RAG systems integrating Claude/OpenAI APIs with Vector Store for intelligent supplier and document matching
    • Designed A2 UBL Classifier and Order Matcher — custom AI agents with strict JSON schema enforcement and deterministic matching logic
    • Developed Python & SQL data pipelines connecting PostgreSQL with n8n workflows for real-time invoice enrichment
    • Integrated 6+ external systems (ERP, supplier databases, document stores) via REST APIs and webhooks
    • Deployed Accounts Payable Automation integrating Mistral OCR and GPT-4 to map
  • A
    AI Automation Developer
    Ainain Pvt Ltd
    Oct 2025 - Current (1 year)
    • Developed and maintained AI-powered automation workflows using n8n, Zapier, and Make.com for enterprise clients
    • Built Python-based data pipelines for automated extraction, transformation, and loading from various sources
    • Designed intelligent integrations connecting CRM, ERP, and third-party SaaS platforms via REST APIs
    • Created data analytics dashboards using Power BI and Excel for business decision support
    • Implemented machine learning models for predictive analytics and business intelligence solutions
    • Engineered multi-step n8n email automation systems for intelligent inbox classification and CRM write-back
    • Bui
  • Gunness & Associates
    AI Automation Engineer
    Gunness & Associates
    Mar 2026 - Jul 2026 (5 months)
    • Designed and architected end-to-end AI automation systems for a Canadian technology consultancy, covering the full lifecycle from requirements to production deployment
    • Built intelligent n8n workflow pipelines automating lead intake, client onboarding sequences, and internal task routing across multiple platforms
    • Developed multi-channel email campaign automation systems with AI-driven personalization, open/click tracking integration, and automated follow-up scheduling via n8n
    • Integrated GoHighLevel CRM as the central data hub — built pipelines for contact enrichment, stage-based trigger automation, and real-time sync with external tools via REST APIs and webhooks
    • Engineered VAPI + n8n AI voice calling agents usi
  • A
    AI Automation Engineering
    Jan 2026 - May 2026 (5 months)
    api requests through rest api
  • F
    Automation Engineer
    Freelance Independent Projects
    Jan 2024 - Dec 2025 (2 years)
    • Delivered n8n, Zapier & Make.com automation workflows for clients in e-commerce, logistics, and finance
    • Built web scraping tools and ETL scripts in Python for automated data extraction from PDF, CSV, and JSON sources
    • Deployed on-premise n8n instances on Linux servers with custom webhook and API configurations
    • Engineered custom Telegram and WhatsApp AI bots serving real clients, replacing manual customer support workflows entirely
Education verified_user 0% verified
  • The Islamia University of Bahawalpur
    Bachelor's Degree in Software Engineering
    The Islamia University of Bahawalpur
    Feb 2023 - Current (3 years 8 months)
Projects (professional or personal) verified_user 0% verified
  • P
    https://drive.google.com/drive/folders/1YqW9qvB6WVFm60ix5hVLfgqCwETu3YBY
    PM2Net and Variedy (Remote)
    Aug 2026 - Current (2 months)
    Above i m added link of my some past projects of Ai automation engineering .
  • R
    Energy Disaggregation using Deep Learning
    Research Project
    Nov 2025 - Dec 2025 (2 months)
    • Implemented CNN-Mamba architecture for Non-Intrusive Load Monitoring (NILM) — identifies individual appliances from household energy data
    • Achieved 89.3% accuracy on UK-DALE dataset using Zero-Shot Learning approach