Muhammad Sameer Amjad

Academic

Career

Verbatim text

Muhammad Sameer Amjad
Cell: 923207087048 |  Email: proton7ve@gmail.com
LinkedIn: https://www.linkedin.com/in/sameer-amjad/
Address: HOUSE# 29, STREET# W, BLOCK Y, NEW SATELLITETOWN, SARGODHA , Sargodha , Pakistan
PROFESSIONAL PROFILE
Final-year Computer Science undergraduate at NUST (CGPA 3.56) with strong experience in full-stack web development, artificial
intelligence, and research-driven problem solving. Hands-on experience building and deploying scalable production systems using
modern JavaScript frameworks, alongside applied research in deep learning, large language models, and Reconfigurable Intelligent
Surfaces for next-generation wireless communication. Published researcher with contributions in AI for business, finance, and
environmental monitoring, and a CFA Level I candidate with growing expertise at the intersection of technology and finance. Adept at
translating complex technical ideas into impactful, real-world solutions.
EDUCATION
Matriculation
Kims High School, NST Sargodha , Sargodha , 1058 (2020)
Intermediate
Punjab Group of Colleges, Sargodha , Sargodha , 1010 (2022)
Bachelors of Science in Computer Science
School of Electrical Engineering and Computer Science (SEECS), NUST , Islamabad , 3.56 (2022)
INTERNSHIP EXPERIENCE
Machine Vision and Intelligent Systems Lab, SEECS
01-Jun-2024 - 01-Mar-2025
Contributed to deep learning-based projects, applying advanced techniques to solve real-world problems such as Glacier Monitoring.
Also authored a systematic research paper analyzing recent applications of Machine Learning and Deep Learning (DL) in Business
and Finance
Research, Innovation & Commercialisation, NUST
01-May-2024 - 30-Aug-2024
Developed and deployed the NUST Digital Research Repository using the MERN stack, successfully launching a funded institutional
project now live and used by over 1500+ faculty members. I designed the frontend interface and built APIs, improving user
experience by 30% based on feedback, while enabling seamless access to over 10,000+ research publications.
Codenext Solutions SMC Limited, Islamabad
01-Nov-2024 - 01-Jan-2026
Developed and maintained production-level, fully developed systems using a wide range of modern technologies. Contributed to
long-serving systems, ensuring high performance, scalability, and reliability.
FINAL YEAR PROJECT
Realtime RIS Optimization for 6G networks using Multi Agent Framework
Current methods for controlling Reconfigurable Intelligent Surfaces (RIS) in wireless networks typically rely on static, model-based
optimization techniques—such as alternating optimization, successive convex approximation (SCA), semidefinite relaxation (SDR),
or MMSE beamforming—tailored to fixed or semi-static environments. While these approaches work well under controlled
assumptions, they struggle to cope with real-world dynamics like user mobility, fast-fading channels, or environmental interference.
Existing literature lacks systems that can autonomously monitor changing conditions and adapt RIS configurations in real time. This
gap impedes the scalability and resilience of RIS deployments in next-generation 6G infrastructure.

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