Ahmed Liaqat
AI Agent Developer | AI Engineer | Graphic designer
Ready for work
Ahmed is ready for their next project!
An automated email triage and response system designed to scale customer support. This workflow monitors a Gmail inbox and uses AI text classification to instantly separate support tickets from general noise. For valid support requests, an AI agent queries a Pinecone vector database (containing company FAQs, courses, and policies) to instantly draft highly accurate, friendly, and context-aware replies.
Tech Stack: n8n, LangChain, OpenAI, Pinecone, Gmail.
Impact: Drastically reduces response times, categorizes incoming mail automatically, and ensures customer replies are consistent and accurate.
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A completely automated Retrieval-Augmented Generation (RAG) pipeline designed for dynamic document querying. This workflow monitors a Google Drive folder for new documents, instantly downloads them, chunks the text, and generates OpenAI embeddings to store in a Pinecone vector database. Users can then query an AI agent to instantly fetch highly accurate information based strictly on the uploaded documents.
Tech Stack: n8n, LangChain, OpenAI, Pinecone, Google Drive.
Impact: Turns static document repositories into an interactive, conversational search engine with zero manual maintenance.
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An intelligent, multi-agent productivity system built to seamlessly categorize and track daily inputs. Using a central AI manager, this workflow automatically routes user messages to specialized sub-agents (Task, Note, or Reminder). The system leverages lightning-fast Groq (Llama 3) models to extract key details—like due dates, priorities, and topics—and logs them directly into organized Google Sheets.
Tech Stack: n8n, LangChain, Groq (Llama-3), Google Sheets. Impact: Eliminates manual data entry and provides a conversational interface for organizing an entire day.
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FLYERS DESIGNS
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Social Media Post Designing
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Amazon Infographic Design
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