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Muhammad Abu Baker

NUST · 2026

abubakerabc98@gmail.com

Phone

923076192076

https://www.linkedin.com/in/muhammad-abubaker-6077aa255/

GitHub

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Academic

Program

Electrical Engineering

CGPA

3.14

Year

2026

Education

School of Electrical Engineering and Computer Sciences

Address

Bahawalpur, Pakistan

DOB

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Career

Current role

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Target role

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Skills

Python, C++/C, Java, MATLAB, Verilog, Pandas, Numpy, Scikit-learn, Pytorch, Tensorflow, OpenCV, 6G wireless communication, channel modeling, data-rate optimization, intelligent metasurfaces, deep reinforcement learning, embedded system design, chip-level programming, computer vision, image acquisition, digital logic circuits, FPGA, HDLs, O-RAN architecture, GAN, RF IQ datasets, RAN Intelligent Controllers

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

Muhammad Abu Baker
Cell: 923076192076 |  Email: abubakerabc98@gmail.com
LinkedIn: https://www.linkedin.com/in/muhammad-abubaker-6077aa255/
Address: ONE UNIT STAFF COLONY HOUSE NO 76/1 SATELLITE TOWN , Bahawalpur , Pakistan
PROFESSIONAL PROFILE
Electrical Engineering graduate with 1.5+ years of research experience in 6G wireless communication, including channel modeling,
data-rate optimization, and intelligent metasurfaces. Strong expertise in deep reinforcement learning for adaptive and environment-
aware wireless systems, with hands-on experience in agent interaction, reward design, and performance optimization. Background in
embedded system design and chip-level programming, with practical exposure to camera-based computer vision, image acquisition
pipelines, and core visual processing algorithms.
EDUCATION
Electrical Engineering
School of Electrical Engineering and Computer Sciences , Islamabad , 3.14 (2026)
INTERNSHIP EXPERIENCE
Information Processing and Transmission (IPT) Lab
31-Mar-2025 - 22-May-2026
Researched 6G network architectures using analytical and simulation approaches, focusing on data-rate optimization, interference
management, and intelligent mobile network control using deep reinforcement learning.
System on Chip (SoC) Lab
01-Jul-2024 - 31-Aug-2024
Designed and implemented digital logic circuits on DE-series FPGA boards using Verilog, gaining hands-on experience with FPGA
tools, HDLs, circuit testing, and optimized digital system integration.
Optical Networks and Technologies (ONT) Lab
01-Jun-2025 - 31-Aug-2025
Worked with O-RAN architecture and generated GAN-based RF IQ datasets to train RAN Intelligent Controllers, improving
robustness of AI-driven RAN optimization through data augmentation using OTA and emulation methods.
FINAL YEAR PROJECT
Intelligent Control of SIM-Assisted Wireless Networks Using Deep Reinforcement Learning.
Developed a deep reinforcement learning–based control framework for SIM-assisted wireless networks, optimizing metasurface
conﬁgurations to enhance sum-rate, spectral eﬃciency, and adaptive signal propagation under dynamic channel conditions for next-
generation communication systems.
TECHNICAL EXPERTISE
Language
Python, C++/C, Java, MATLAB, Verilog
API and Libraries
Pandas, Numpy, Scikit-learn, Pytorch, Tensorflow, OpenCV
Design and Simulation Tools

AI enrichment

Muhammad Abu Baker is an Electrical Engineering graduate with 1.5 years of research experience in 6G wireless communications, focusing on deep reinforcement learning and intelligent metasurfaces. He possesses practical skills in FPGA design, embedded systems, and computer vision, supported by internships in advanced network architectures.

Skills (AI)

["Deep Reinforcement Learning", "6G Wireless Communication", "Channel Modeling", "FPGA Design", "Verilog", "Python", "C++", "MATLAB", "PyTorch", "TensorFlow", "OpenCV", "O-RAN", "GANs", "Digital Logic Circuits"]

Status: ai_done

Provenance

Source file: SEECS - Electrical Engineering-2026.pdf
From job #259 page 92
Created: 1778168427