Muhammad Ahsan

Academic

Career

Verbatim text

Muhammad Ahsan
Cell: 923496785199 |  Email: ahsanirfan961@gmail.com
LinkedIn: https://www.linkedin.com/in/muhammad-ahsan-b6796124b?
utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=android_app
Address: D-942/2 , Lane#15 qabristan road ,lalarukh colony , Wah cantt , Pakistan
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

AI enrichment