Azzan Rauf
NUST
· 2025
Email
azzanrauf95@gmail.com
Phone
923227828835
LinkedIn
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GitHub
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Academic
Program
BE Electrical Engineering
CGPA
3.29
Year
2025
Education
SEECS
Address
Faisalabad , Pakistan
DOB
—
Career
Current role
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Target role
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Skills
Cuda, Convolutional neural networks, Recurrent neural networks, Computer vision, Freertos & mbed rtos, Raspberry pi, tinker board, Atmel 8051, pic atmega 16, Auto cad, Teamwork, flexibility, Microsoft word, excel, project, Team management, Leadership and communication
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Azzan Rauf Cell: 923227828835 Email: azzanrauf95@gmail.com Address: P-45, AMIR TOWN, EAST CANAL ROAD, FAISALABAD Faisalabad , Pakistan Cuda Convolutional neural networks Recurrent neural networks Computer vision Freertos & mbed rtos Raspberry pi, tinker board Atmel 8051, pic atmega 16 Auto cad Teamwork, flexibility Microsoft word, excel, project Team management Leadership and communication To be furnished upon request. Professional Profile Passionate and results-driven Embedded Machine Learning Engineer with expertise in computer vision, IoT, and neural networks. Seeking to leverage my experience in embedded systems, deep learning, and real-time processing to develop innovative AI-driven solutions. Eager to contribute technical skills and problem-solving abilities to a dynamic team in a challenging, research-driven environment. Education BE Electrical Engineering School of Electrical Engineering and Computer Science , 3.29 , (2019) , (2021) Olevels(Sciences) Beaconhouse School System , 799/900 (2019) Alevels(Pre-Engineering) Beaconhouse College Programme , 963/1100 (2021) Internship Experience Interloop Limited ( 22-Jun-2023 - 03-Aug-2023 ) Internship Trainee at the Interloop Power plant. Learning the controls and organizations of tri-fuel engines producing electricity and also Solar technology to produce electricity. Projects BlueShield USV (Final Year Project) • A water surface drone for detecting heavy metals like iron, mercury etc. and removing surface trash. • Enabled real-time monitoring via wireless LoRa communication with a software application. • Neural Network techniques to predict metal levels from water parameters. Essay Scoring using NLP and LSTM • Features extraction using NLP tools such as Spacy, Bert, NLTK. • Trained a Neural Network to make predictions based on these features. • Implemented an alternate approach using LSTM trained on textual data for automated scoring. DermaVision: Skin Disease Classification Project • Designed a web app to diagnose skin diseases using Convolutional Neural Network • Leveraged the ResNet-34 architecture for accurate predictions. • Developed a minimalistic, user-friendly interface for accessible healthcare solutions. Sound Localization using Raspberry pi • Integrated three microphones with a Raspberry Pi to detect the direction of high-pitched sounds. • Programmed the Raspberry Pi using Python to collect real-time sound data.
AI enrichment
Azzan Rauf is an Electrical Engineering graduate with a focus on Embedded Machine Learning, Computer Vision, and IoT. He has practical experience through internships and academic projects involving neural networks, real-time systems, and embedded hardware.
Skills (AI)
["Embedded Machine Learning", "Computer Vision", "Convolutional Neural Networks", "Recurrent Neural Networks", "IoT", "FreeRTOS", "mbed RTOS", "Raspberry Pi", "Python", "LoRa Communication", "NLP", "LSTM", "ResNet-34", "AutoCAD", "Team Management"]
Status: ai_done