Ranomal
NUST
· 2026
·
415797
Email
rmal.bee22seecs@seecs.edu.pk
Phone
923433619289
GitHub
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Academic
Program
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CGPA
2.85
Year
2026
Education
Electrical Engineering
SEECS , islamabad , 2.9/(1057/1100) (2026)
Address
MOHLA KALA WARD 321 DHORONARO DISTRICT AND TAULKAUMERKOT , Dhoronaro , Pakistan
DOB
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Career
Current role
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Target role
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Skills
PROFESSIONAL PROFILE
Electrical Engineering undergraduate at NUST with a strong foundation in electronics, embedded systems, and circuit design,
complemented by hands-on experience through industry-focused internships and multidisciplinary projects. Skilled in PCB design,
microcontrollers, FPGA, simulation tools, and Python-based machine learning workflows. Demonstrated ability to solve real-world
engineering problems through data-driven approaches, system modeling, and effective teamwork. Motivated, detail-oriented, and
eager to contribute technical expertise to innovative engineering teams while continuously learning in a professional industry
environment.
EDUCATION
Electrical Engineering
SEECS , islamabad , 2.9/(1057/1100) (2026)
INTERNSHIP EXPERIENCE
NOVAtechX | Online
01-Jul-2025 - 01-Sep-2025
Selected for a competitive, multi-university internship involving students from leading engineering institutions. Applied systems
engineering principles to analyze real-world healthcare and MedTech problems. Performed requirements analysis and system
modeling (SysML) to define functional and non-functional system requirements. Conducted problem formulation and stakeholder
analysis based on healthcare workflows and constraints. Collaborated in multidisciplinary teams to design system-level solutions
focused on reliability, scalability, and usability. Gained exposure to healthcare environments through field insights, enhancing
understanding of practical system limitations. Contributed to solution documentation, presentations, and design reviews following
structured engineering approaches.
FINAL YEAR PROJECT
IoT-Based Industrial Contactor Control & Monitoring System using ESP32 and PLC
Designed and developed an industrial IoT system for remote control and real-time monitoring of high-power electrical contactors used
in motor and industrial load switching. The system integrates an ESP32 microcontroller with a Siemens PLC using Modbus RTU over
RS-485 (MAX485 module) to enable secure and reliable communication between IoT and industrial automation layers. A web-based
graphical user interface (GUI) allows users to remotely switch contactors ON/OFF, monitor operational status, and receive real-time
feedback. Electrical isolation is achieved using optocouplers to ensure safety and protection of control electronics. The solution
improves operational efficiency, reduces downtime, enhances safety, and supports scalable industrial automation. Technologies &
Tools: ESP32, Siemens PLC (TIA Portal), Modbus RTU, MAX485 (RS-485), Optocouplers, Industrial Contactors, WinCC, Ladder
Logic, IoT Dashboard, Wi-Fi Communication
TECHNICAL EXPERTISE
Electronics & Hardware,Simulation & Analysis Tools,Programming & Software,Data & Machine Learning
1: Analog and Digital Circuit Design PCB Design & Prototyping (KiCad, Eagle) Electronic Component Soldering & Debugging
MOSFET & BJT-Based Circuit Design I.C.-Based System Design Microcontrollers (Arduino UNO/Nano, ESP32) FPGA Design (Intel
Quartus) IoT System Development 2: MATLAB & Simulink NI Multi ...
AI enrichment
Electrical Engineering undergraduate at NUST with a strong foundation in electronics, embedded systems, and circuit design,
complemented by hands-on experience through industry-focused internships and multidisciplinary projects. Skilled in PCB design,
microcontrollers, FPGA, simulation tools, and Python-based machine learning workflows. Demonstrated ability to solve real-world
engineering problems through data-driven approaches, system modeling, and effective teamwork. Motivated, detail-oriented, and
eager to contribute technical expertise to innovative engineering teams while continuously learning in a professional industry
environment.
Status: ai_done
Provenance
Source file: —Created: 1777448793