Rameen Shahzad
NUST
· 2025
Email
shahzadrameen@gmail.com
Phone
923362721210
LinkedIn
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GitHub
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Academic
Program
BEE
CGPA
3.62
Year
2025
Education
SEECS
Address
Islamabad, Pakistan
DOB
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Career
Current role
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Target role
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Skills
Distributed systems, Cuda, Web development frameworks, Atmel studio, Operating systems, Production planning and control, Convolutional neural networks, Recurrent neural networks, Strategic communications, Statistical data analysis, Orcad lite, Modelsim, Communication skills, Self-management skills, Teamwork, flexibility, Team management, Machine learning, Computer vision, IoT systems, AI, Embedded systems, Random Forest, SVM, SMOTE, MediaPipe, OpenCV, TensorFlow/Keras, Edge Impulse, FreeRTOS, ESP32, ESP32-CAM
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Rameen Shahzad Cell: 923362721210 Email: shahzadrameen@gmail.com Address: H.22, ST. 17, SECTOR-A, BAHRIA ENCLAVE, ISLAMABAD Islamabad , Pakistan Distributed systems Cuda Web development frameworks Atmel studio Operating systems Production planning and control Convolutional neural networks Recurrent neural networks Strategic communications Statistical data analysis Orcad lite Modelsim Communication skills Self-management skills Teamwork, flexibility Team management To be furnished upon request. Professional Profile Driven and detail-oriented Electrical Engineering graduate with a strong foundation in machine learning, computer vision, and IoT systems, seeking to leverage my technical expertise and research experience to contribute to innovative projects in AI, embedded systems, and energy-efficient technologies, while enhancing smart solutions for real- world challenges Education BE Electrical Engineering School of Electrical Engineering and Computer Science , 3.62 , (2019) , (2021) Bachelors in Electrical Engineering School of Electrical Engineering and Computer Science (SEECS) , 3.62 (2025) Internship Experience RESEARCH INTERN- NUST ( 03-Jun-2024 - 30-Aug-2024 ) RESEARCH INTERN- SIGMA LAB ( 01-Jun-2023 - 25-Aug-2023 ) RAN PLANNING INTERN- JAZZ HEADQUATERS ( 11-Jul-2024 - 13-Sep-2024 ) FREELANCE AI PROMPT ENGINEER- ANTHROPIC ( 18-Jan-2024 - 03-Oct-2024 ) Projects Energy Positive Human Activity Recognition Using Solar and Kinetic Signal Fusion •Achieved 96.5% accuracy in activity classification by fusing solar and kinetic energy data, utilizing machine learning models such as Random Forest and SVM with optimized hyperparameters and SMOTE technique for class imbalance •Processed data points using advanced preprocessing techniques, feature engi Real-Time Eye Gaze Tracking for Human-Computer Interaction •Developed a real-time gaze tracking system using MediaPipe and OpenCV, leveraging advanced techniques like Eye Aspect Ratio (EAR) and SolvePnP for gaze estimation and head pose analysis •Implemented 3D facial landmark detection and gaze angle calculations (pitch, yaw, roll) using PnP- based pose estimat Real Time Sign Language Recognition •Achieved real-time translation of hand gestures into readable text using deep learning models like LSTMs trained on gesture datasets with TensorFlow/Keras and Mediapipe Holistic. •Implemented Mediapipe for real-time hand tracking and feature extraction, combined with OpenCV for webcam input and image pr Voice Activated Smart Security System with Face Recognition • Developed and deployed AI models using Edge Impulse for real-time voice recognition and face verification, leveraging neural networks for multi-factor authentication on ESP32 modules and ESP32-CAM. • Optimized task execution with FreeRTOS, enabling efficient management of voice detection and facial rec
AI enrichment
Rameen Shahzad is a recent Electrical Engineering graduate with a 3.62 CGPA and experience in machine learning, computer vision, and embedded systems. The candidate has completed internships in research and RAN planning, alongside freelance work as an AI prompt engineer.
Skills (AI)
["Machine Learning", "Computer Vision", "Deep Learning", "Python", "TensorFlow", "Keras", "OpenCV", "MediaPipe", "Embedded Systems", "ESP32", "FreeRTOS", "Edge Impulse", "Signal Processing", "Data Analysis", "Communication Skills"]
Status: ai_done