Shahzada abuzar
NUST
· 2025
Email
abuzar@apl.atlas.pk
Phone
+92 300 4005286
LinkedIn
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GitHub
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Academic
Program
BE Electrical Engineering
CGPA
3.2
Year
2025
Education
SEECS
Address
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DOB
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Career
Current role
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Target role
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Skills
Electrical Engineering, IoT, PVsyst, Project scheduling, Budgeting, PLC optimization, EMC assessments, Pluto SDR, RF testing, Solar photovoltaics, Green Energy Meters
Interests / quote
Seeking a responsible career in electrical engineering and IoT, where I can drive innovation, optimize processes, and enhance system efficiency while contributing to organizational success.
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
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Name: Shahzada abuzar Company: Atlas power limited Phone: +92 300 4005286 Email: abuzar@apl.atlas.pk Professional Profile Seeking a responsible career in electrical engineering and IoT, where I can drive innovation, optimize processes, and enhance system efficiency while contributing to organizational success. Education BE Electrical Engineering School of Electrical Engineering and Computer Science , 3.2 Matric / O levels , (2019) Intermediate / A levels , (2021) Internship Experience Pak Elektron Limited (PEL, Lahore) ( 05-Jun-2024 - 17-Jul-2024 ) •Supported the technical project development team for renewable energy projects, with a primary focus on solar photovoltaics (PV) and production of Green Energy Meters. • Received training on PVsyst and project scheduling and budgeting. Atlas Power Limited ( 17-Jul-2023 - 17-Aug-2023 ) •Presented final internship report on “Energy Efficiency and PLC optimization using IoT integration in power plant” promising 3.5 % increase in efficiency of the plant. Research Institute of Micro and Millimeter Waves Studies ( 01-Aug-2022 - 01-Sep- 2022 ) •Conducted EMC assessments on mobile phones, applied Pluto SDR technology to analyze and optimize wireless communication systems, gained practical expertise in RF testing and evaluation. Projects Design and Implementation of a Dual Axis Solar Tracking System with Efficient Energy Conversion •Designed and simulated a dual axis solar tracking system, meticulously selecting components to optimize performance. •Implemented the system using servo motors and light-dependent resistors (LDRs) to precisely orient solar panels for maximum sunlight capture. •Demonstrated functionality by effectively powe ECG Image Classification Using Deep Learning •Developed a Convolutional Neural Network (CNN) to classify ECG signals as normal or abnormal, utilizing the Adam optimizer and binary cross-entropy loss function. •Preprocessed data with Min- Max scaling and evaluated model performance using accuracy metrics and confusion matrices for robust diagnostic predi Solar-Powered HIDEC System with Automated Real-Time Optimization •Designing a UG-lab equipment for cooling system testing powered by solar energy. •Optimizing it using an IoT-based monitoring system using ESP32 and Raspberry Pi and sensors to collect real- time data on energy production and consumption. Efficient Full-Wave Rectifier Circuit for Mobile Charger Designed and built a full-wave bridge rectifier to ensure a stable DC supply for mobile devices. Used a step-down transformer, selected appropriate components, and validated performance through simulation. Enhanced skills in circuit analysis, component selection, and rectification principles.
AI enrichment
Shahzada Abuzar is an Electrical Engineering graduate with internship experience in renewable energy, IoT, and RF testing. He has demonstrated practical skills through projects involving solar tracking systems, ECG classification using deep learning, and IoT-based energy optimization.
Skills (AI)
["Electrical Engineering", "IoT", "Solar Photovoltaics", "PLC Optimization", "RF Testing", "Deep Learning", "CNN", "ESP32", "Raspberry Pi", "PVsyst", "EMC Assessments", "Circuit Design"]
Status: ai_done