Abdullah Munir

Academic

Career

Verbatim text

Abdullah Munir
Cell: 923013607411 |  Email: abdullahmunir88892@gmail.com
LinkedIn: https://www.linkedin.com/in/abdullahmunir88892/
Address: HOUSE NO. 2 STREET NO.3 NEAR SUI GAS OFFICE, SUIGAS ROAD, EHTASHAM COLONY, ABID STREET, PUNJAB,GUJRANWALA,
PAKISTAN , Gujranwala , Pakistan
PROFESSIONAL PROFILE
Final-year Electrical Engineering student at NUST with a specialized focus on Artificial Intelligence, Machine Learning, and Computer
Vision. Proven track record in developing industrial-grade AI modules, including a 2-step KYC verification system and real-time 3D
object detection systems. Experienced in robotics and control systems through internships at the National Centre of AI,
complemented by strong proficiency in Python, C++, and MATLAB.
EDUCATION
Electrical Engineering
School Of Electrical Engineering And Computer Sciences (SEECS), NUST , Islamabad , 3.22 (2026)
INTERNSHIP EXPERIENCE
National Centre of Artificial Intelligence (NCAI), NUST
01-Jun-2024 - 14-Aug-2024
• Successfully assembled a mobile robot during my 3-months internship at NCAI. • Integrated object avoidance on said robot. •
Successfully optimized PID control systems. • Further fine tuned velocity and directional controllers using Zeigler-Nichols PID Method.
• Basic understanding of Linux, Robot Operating System (ROS) 1&2.
Electronic System Design Automation Centre (ESDAC), NUST
20-Jun-2024 - 31-Aug-2024
• I did a 3-months internship in Silicon Photonics, during which for 2 weeks I was under direct mentorship of Professor Gonzalo
Peres, who came to NUST to teach from the University of Malaga, Spain. • During this internship, I got hands on experience with
FEXEN, which is a MATLAB extension for silicon photonics manufactured by engineers in Spain. • Thoroughly understood the
working principles of silicon photonics, effects of light on different materials of various dimensions. • Successfully designed a Mach
Zehnder Interferometer using FEXEN. • Successfully designed a focusing-lens to converge all power of light to an optical fibre. •
Optimized a 2x2 MMI for maximum power transfer. • Detailed work on Directional Couplers in silicon photonics. • Studied
Characteristics and behaviours of waveguides of different types.
Xflow Pvt Ltd., I-9
01-Jul-2025 - 25-Jan-2026
• Researched on a variety of commercial AI tools and learned to use them on industrial projects. • Developed an AI automated 2-step
KYC self-verification module with facial verification, deepfake and liveness detection, OFAC and UN sanction filtering. • Researched
on various international messaging and calling tools, and learned to use tools like Twilio. • Developed the front-end of the KYC
mobile-app and web-interface using Figma. • Learned about and implemented secure gateways, application stress testing, API
development, etc. • Overall learned a variety of industrial-significant skills and gained hands-on experience on real-life industrial
company projects.
FINAL YEAR PROJECT
Edge DPI on Raspberry Pi for Real-Time Anomaly Detection in SDN-Enabled IWSNs
This final year project (FYP) focuses on developing a AI-driven Deep Packet Inspection (DPI) system for real-time anomaly detection
in Industrial Wireless Sensor Networks (IWSNs) integrated with Software-Defined Networking (SDN). IWSNs are critical for industrial
automation but vulnerable to cyber threats and failures. The project incorporates federated learning, utilizing Raspberry Pi devices as
nodes, where each node hosts a local AI model and DPDK-accelerated DPI engine, connected to a centralized server for global

AI enrichment