Rayyan Naeem Muzaffar

Academic

Career

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Rayyan Naeem Muzaffar
Cell: 923343150852 |  Email: muzzrayyan04@gmail.com
LinkedIn: https://www.linkedin.com/in/rayyan-naeem-muzaffar/
Address: B-302, zeeshan super luxury appartments , Block 13, gulistan-e-johar , Karachi , Pakistan
PROFESSIONAL PROFILE
Electrical Engineering undergraduate with strong full-stack, cloud, and applied AI engineering experience, specializing in building
production-grade systems end-to-end. Proven track record of designing and deploying scalable backend platforms, real-time
applications, and AI-driven products on AWS, with hands-on ownership of architecture, security, and DevOps. Experienced in
applied AI systems including multi-agent orchestration, computer vision, OCR, and voice-based AI, as well as edge and robotics
applications such as monocular vSLAM and 3D human pose estimation on resource-constrained hardware. Combines strong
software engineering fundamentals with systems-level thinking, hardware integration, and product-driven problem solving.
EDUCATION
Bachelors of Electrical Engineering (BEE)
School of Electrical Engineering and Computer Science (SEECS) , Islamabad , 3.47 (2026)
INTERNSHIP EXPERIENCE
Pakistan Airports Authority
16-Jun-2025 - 25-Jul-2025
Understanding and analyzing the electrical network installed in Jinnah International Airport (JIAP), karachi. Including but not limited
to: 1. Main power transmissions to JIAP and distribution networks 2. Analysis and study of Ground Power units for ground aircraft
powering 3. Analysis and study of various airfield lights and lighting systems
Erly stage Studios
01-Jun-2024 - 01-Jul-2024
1. upgrading and maintaining backend (nestjs) and frontend (reactjs) codebase. 2. creating frontend pages and backend apis 3.
implementing advanced auth flows and debugging current security/quality bugs
FINAL YEAR PROJECT
Edge-Deployed 3D Vision and Localization for Autonomous Systems
This project develops an edge-deployed autonomous perception system that combines monocular/stereo 3D vision and visual SLAM
for real-time localization and mapping. Using a simulated environment, the system estimates vehicle pose and reconstructs
surrounding structure without GPS or depth sensors. Vision-based perception modules enable human detection and collision-aware
navigation. Designed for resource-constrained edge platforms, the system emphasizes efficiency, modularity, and scalability for
autonomous applications.
TECHNICAL EXPERTISE
Backend & Full-Stack Engineering
Extensive experience designing and implementing scalable backend and full-stack applications. Proficient in building robust RESTful
APIs and real-time systems using Node.js (NestJS), WebSockets, and structured application architectures. Strong understanding of
authentication and authorization mechanisms inclu ...
Cloud, DevOps & Distributed Systems
Hands-on experience deploying, operating, and maintaining production systems on AWS, including EC2, ECS, S3, RDS, and Redis. Proficient in containerization using Docker, environment configuration, secure networking, and service-to-service communication.
Experienced with asynchronous and distributed system pat ...

AI enrichment