Ali aqdas .
NUST
· 2023
Email
aliaqdas2000@gmail.com
Phone
923315321269
LinkedIn
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GitHub
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Academic
Program
BE Electrical Engineering
CGPA
3.94
Year
2023
Education
School of Electrical Engineering and Computer Science (SEECS)
Address
House 1488-E, Street 24-A, F-17/2 Islamabad , Pakistan
DOB
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Career
Current role
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Target role
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Skills
C++, python, assembly, Tensorflow, keras, pytorch, Verilog programming, Communication & interpersonal, RISC-V Vector Extension, Verilog, TinyML, Fall Detection and Alert System, OpenSlide, Semantic Segmentation, Atmel Studio, Proteus, Embedded C, ATmega328p, Analog to Digital Conversion, Serial Communication, UART Serial, VCO, Slope Detector
Interests / quote
A self-driven individual working towards achieving excellence
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.
Ali aqdas . Details Technical Skills Soft Skills Reference Cell: 923315321269 Email: aliaqdas2000@gmail.com Address: House 1488-E, Street 24-A, F-17/2 Islamabad , Pakistan C++, python, assembly Tensorflow, keras, pytorch Verilog programming Communication & interpersonal To be furnished upon request. Professional Profile A self-driven individual working towards achieving excellence Education BE Electrical Engineering School of Electrical Engineering and Computer Science (SEECS) , 3.94 Internship Experience IC Design Lab ( 12-Jun-2022 - 31-Aug-2022 ) I led a team to develop a prototype of novel RISC-V Vector Extension, which will accelerate data- parallel applications enabling machine learning and high-performance computing at low cost. It involved extensive overview of existing literature, design and development of microarchitecture in Verilog. At the end AI Lounge ( 01-Jul-2021 - 29-Nov-2022 ) I self-learned TinyML and developed course material for a TinyML Workshop/MOOC in collaboration with Dr. Hassan Aqeel (Aston University) and Dr. Syed Ali Raza Zaidi (University of Leeds). I developed a Fall Detection and Alert System for elderly, which reduces fatality of falls, as a demonstration of concept Signal Processing and Machine Learning Lab ( 08-Jul-2020 - 15-Oct-2020 ) I developed an application to localize anomalies in ultra-high resolution pathological images, which reduces doctor's effort in diagnosing tumors. I utilized OpenSlide to process ultra-high-resolution images before localizing anomalies using Semantic Segmentation. Projects Robotic Arm Semester Project (Microprocessor Systems) 1. Atmel Studio 2. Proteus Robotic Arm based on ATmega328p microcontroller programmed in Embedded C 1. Analog to Digital Conversion of Potentiometer/Joystick Signal 2. Serial Communication between two microcontrollers using UART Serial FM Radio Semester Project (Dec 2021) We have successfully modulated and demodulated a message signal using a breadboard and necessary hardware components. • Generation of FM Signal using a transistor based VCO • Demodulation of FM Signal using a transistor based Simple Slope Detector Implmentation of Bresenham Circle Drawing Algorithm in FPGA Bresenham's Circle Drawing algorithm is a lightweight algorithm to draw circles on computer that only computes points for an octant of circle and uses eight-way symmetry to draw a full circle. I implemented Bresenham's Circle Drawing Algorithm in Verilog to draw variable sized circles and utilized University
AI enrichment
Ali Aqdas is a recent Electrical Engineering graduate with a high CGPA of 3.94, specializing in embedded systems, hardware design, and machine learning. He has practical experience in Verilog microarchitecture development, TinyML application, and image processing through various lab internships and projects.
Skills (AI)
["C++", "Python", "Assembly", "Verilog", "TensorFlow", "Keras", "PyTorch", "Embedded C", "RISC-V", "TinyML", "Semantic Segmentation", "FPGA", "Microcontrollers"]
Status: ai_done