Muhammad Zaid

Academic

Career

Verbatim text

Muhammad Zaid
Cell: 923265254644 |  Email: muhammadzaid.swe@gmail.com
LinkedIn: https://www.linkedin.com/in/muhammad-zaid-se
Address: , Pakistan
PROFESSIONAL PROFILE
Software engineering student at SEECS, NUST with practical experience in developing a variety of software systems. Skilled in
building web applications using Golang and JavaScript ecosystems (Node.js, Next.js), with hands-on experience working with
PostgreSQL databases, message queuing systems, and RESTful APIs.
I have worked AI chatbot platforms, healthcare data systems, and web applications. I have contributed to projects involving Meta API
integrations and data processing workflows. I focus on writing clean, maintainable code and designing solutions that address real
user needs. 
I have a strong foundation in data structures and algorithms, maintaining consistent practice on competitive programming platforms. I
am eager to join engineering teams building meaningful products where I can contribute to backend systems, AI integrations, cloud
deployments and data workflows.
Portfolio: https://muhammadzaid.vercel.app
LinkedIn: https://www.linkedin.com/in/muhammad-zaid-se/
GitHub: https://github.com/muhammadzaid-99
EDUCATION
Software Engineering
School of Electrical Engineering and Computer Science (SEECS) , Islamabad , 3.62 (2026)
INTERNSHIP EXPERIENCE
Zentri AI
03-Oct-2025 - 27-Feb-2026
Contributed to an AI chatbot CRM platform serving businesses with automated customer engagement. Engineered Meta API
integrations to capture and process leads from Facebook, Instagram messaging, lead ads, and WhatsApp Business. The integration
process involved researching Meta's platform requirements, preparing documentation for app review submissions, coordinating
approval workflows, and implementing compliant webhook handlers and API clients once approved. Developed analytics dashboards
tracking chatbot performance metrics including impressions and conversions, conversation flows, and user engagement patterns.
Integrated Google Analytics with custom events to provide clients with actionable insights on customer interactions. Built backend
services to handle webhook events, message parsing, email notifications and data synchronization in the CRM database. Worked
with Next.js for frontend interfaces and Node.js/Express for backend API services, with MongoDB database.
Deep Learning Lab (DLL), NCAI
01-Apr-2024 - 30-Mar-2025
Research Assistant Worked on an AI-powered document interaction system for Blue Diamond Austria. Built web interfaces and
backend services using Flask and FastAPI to enable document querying through natural language. Contributed to the Retrieval-
Augmented Generation (RAG) pipeline, implementing preprocessing workflows and data transformation logic to improve response
accuracy. In parallel, I worked towards AI Integrated Healthcare Systems which started off with basic appointments and checkups,
later with AI summaries and finally evolving into my final year project. Completed the IBM Full Stack Developer Professional
Certificate under the same supervision during this period.
Deep Learning Lab (DLL), NCAI
12-Jun-2023 - 30-Mar-2025
Completed foundational coursework in ML, DL and web engineering (Node.js, Express, REST APIs). Applied these concepts by

AI enrichment