Muhammad Moiz
NUST
· 2020
Email
mmoiz.bee20seecs@seecs.edu.pk
Phone
923454301577
LinkedIn
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GitHub
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Academic
Program
BE Electrical Engineering
CGPA
3.82
Year
2020
Education
SEECS
Address
Lahore , Pakistan
DOB
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Career
Current role
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Target role
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Skills
Computer vision, Tensorflow, keras, pytorch, python, c, c++, Proteus, ads, pspice, octave, Matlab, Machine learning, Networking, Leadership, communication, Problem solving, innovation, Teamwork, collaboration, Object Detection, Yolo v5, EfficientDet, Jetson Nano, Cab Booking System, C++, Object Oriented Concepts, Bird Detection, Arduino IDE, PID Controller, Verilog, FPGA, RISC-V, Xilinix Vivado
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Muhammad Moiz Details Technical Skills Soft Skills Reference Cell: 923454301577 Email: mmoiz.bee20seecs@seecs.edu.pk Address: House No. 252-Q model town extension Lahore , Pakistan Computer vision Tensorflow, keras, pytorch Proficient in python, c & c++ Proteus, ads, pspice, octave Matlab Machine learning Networking Leadership and communication Problem solving and innovation Teamwork & collaboration To be furnished upon request. Professional Profile Passionate electrical engineer with a research focus on Wireless Communications, Machine Learning, and Deep Learning, along with experience in 6G technology i.e., Intelligent Reflecting Surfaces. Seeking my professional career as a Software or Machine Learning Engineer to apply problem-solving skills towards solving real-life challenges. Education BE Electrical Engineering School of Electrical Engineering and Computer Science , 3.82 FSc (Pre-Engineering) Government College University (GCU) , 1054/1100 (2020) Internship Experience ESDAC Research Lab ( 27-Jun-2022 - 02-Sep-2022 ) Responsible for testing Object Detection Algorithms such as Yolo v5 and EfficientDet for Robust Fringes Detection on Jetson Nano. Worked in a group of two to write Python scripts that allow anyone to send an image to Jetson Nano to detect fringes in it. Projects Cab Booking System in C++ Worked in a group of three to create a cab booking system that allows users to book rides and also stores the data of the drivers and customers. Coded using Visual Studio Code, we accomplished by using Object Oriented Concepts concepts in it. Bird Detection and Repellent System Worked in a group of three to create a bird detection algorithm using machine learning techniques that detects bird voices using a microphone and generates noise to deter them. Created a customized dataset of bird's voices and accomplished using TensorFlow API. PID Controller for 1-Axis Drone Worked in a group of five to design and implement a PID controller for a single-axis drone that stabilizes itself under different disturbances. Used Arduino IDE for coding the Arduino microprocessor to act like a PID controller. RISC-V Processor Design in Verilog and FPGA Implementation Worked in a group of three to design a RISC-V 32-bit processor that performs its 37 basic operations such as arithmetic, branch/jump, store/load and logical, etc. Coded in Xilinix Vivado using Verilog, we utilized RISC-V ISA and tested it by generating Fibaonni Series on FPGA Board.
AI enrichment
Muhammad Moiz is a recent Electrical Engineering graduate with a strong academic record and a focus on machine learning, computer vision, and wireless communications. He has practical experience in testing object detection algorithms and developing machine learning models during an internship and academic projects.
Skills (AI)
["Python", "C", "C++", "TensorFlow", "Keras", "PyTorch", "Computer Vision", "Machine Learning", "Deep Learning", "Object Detection", "YOLO", "EfficientDet", "Verilog", "FPGA", "MATLAB", "Proteus", "PSpice", "Octave", "Arduino", "Linux/Jetson Nano"]
Status: ai_done