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Ranomal

NUST · 2026 · 415797
Email
rmal.bee22seecs@seecs.edu.pk
Phone
923433619289
LinkedIn
https://www.linkedin.com/in/rano-mal-721a49368
GitHub

Academic

Program
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

Career

Current role
Target role
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