Muhammad Ahsan

PROFESSIONAL PROFILE High-performing Software Engineering student at NUST with a deep technical stack spanning Agentic AI systems and Full-Stack development. Experienced in merging conversational AI with workflow automation to drive operational efficiency, notably through projects like Ignitic AI and voice-activated PoS systems. Strong expertise in Docker, Kubernetes, and GCP, with a commitment to building secure, scalable, and AI-driven applications. EDUCATION Software Engineering SEECS , Islamabad , 3.45 (4th year) INTERNSHIP EXPERIENCE Betafits 02-Nov-2025 - 31-Jan-2026 * Worked on developing modules of Betafits CRM using LangGraph, Supabase, and Airtable. * Followed a complete agile SDLC for planning and execution. * Developed comprehensive state management for LangGraph using state checkpointers. * Handles the episodic and profile based memory in knowledge graphs using Graphiti and Neo4j Zayup Communications 16-Nov-2024 - 06-Jan-2026 * Developed a multi restaurant PoS SaaS, microservices based on typescript and GraphQL communicated by NATS and RabbitMQ, windows/android app in Flutter with receipt printer integration, leading a team of 5. Deployed backend on GCP cloud run with custom domains and also on in-house server with Kubernetes and Nginx. * Developed an order taking voice agent in Vapi connecting to the restaurant's CRM using a custom MCP server including features for menu exploration (keyword + semantic search), order validation and acceptance. Developed multi-tenant based architecture to allow multiple PoS vendor integrations and ensure scaling via adapters and polymorphism patterns. Deployed MCP server on Render for production. MachVis Lab SEECS 01-Jun-2024 - 31-Aug-2024 * Developed an Automated Number Plate Detector desktop app in PyQt6. * Finetuned Yolov5 on custom dataset * Used TrOCR for text detection FINAL YEAR PROJECT Ignitic AI This project focuses on building and deploying an AI super agent to automate and streamline key e-commerce operations. Accessible via web, Slack, or Discord, the agent combines advanced AI with n8n-powered workflows to manage a wide range of tasks. Core functions include orchestrating sales and marketing campaigns, lead generation, product research, and automating tasks through integrations with major e-commerce and third-party tools. This initiative highlights the transformative impact of merging conversational AI with workflow automation to enhance operational efficiency TECHNICAL EXPERTISE AI Engineering

High-performing Software Engineering student at NUST with a deep technical stack spanning Agentic AI systems and Full-Stack development. Experienced in merging conversational AI with workflow automation to drive operational efficiency, notably through projects like Ignitic AI and voice-activated PoS systems. Strong expertise in Docker, Kubernetes, and GCP, with a commitment to building secure, scalable, and AI-driven applications.