Mohamed Imthiyaz Saied Ramalan
NUST
· 2025
Email
imthiyazramalan123@gmail.com
Phone
+94772026837
LinkedIn
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GitHub
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Academic
Program
BEE
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
Python, Java, C++, Octave, Convolutional neural networks, Recurrent neural networks, Keras, C language, Autocad plant 3d, Auto cad, Analytical, Communication skill, Technical documentation, Coordination, Social media, Verbal communication, Communication & interpersonal, Strategic communications
Interests / quote
Dedicated and driven with a solid academic foundation and a passion for technology. Proficient in both theoretical principles and practical applications. Strong problem-solving skills and attention to detail. Committed to continuous learning and eager to contribute to projects in the field of electrical engineering.
Verbatim text
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Mohamed Imthiyaz Saied Ramalan Cell: +94772026837 Email: imthiyazramalan123@gmail.com Address: , Python/java/c++/octave Convolutional neural networks Recurrent neural networks Python, keras Proficient in c & c++ Autocad plant 3d Auto cad C language Analytical Communication skill Technical documentation Coordination Social media Verbal communication Communication & interpersonal Strategic communications To be furnished upon request. Professional Profile Dedicated and driven with a solid academic foundation and a passion for technology. Proficient in both theoretical principles and practical applications. Strong problem- solving skills and attention to detail. Committed to continuous learning and eager to contribute to projects in the field of electrical engineering. Education BE Electrical Engineering School of Electrical Engineering and Computer Science , 3.16 , (2016) , (2020) BE Electrical Engineering National Univesity of Science and Technology,Islamabad ,Pakistan , 3.2 (2025) High School Zahira College Colombo , (2020) Internship Experience EV Academy -Islamabad ( 03-Jun-2024 - 12-Jul-2024 ) Modeled and simulated electric vehicles using EVSim in Simulink MATLAB. Improved simulation models for EV components and analyzed results. Gained hands-on experience in electric vehicle dynamics and energy management Crysto Solar Energy Private Limited ( 03-Jul-2023 - 04-Aug-2023 ) Conducted site assessments and shading analyses. Assisted with testing, troubleshooting, and commissioning of solar panels and inverters. Contributed to project documentation and customer communication. Gained hands-on experience with solar energy monitoring and data analysis tools. Projects SoC Estimation for Drone Battery Using ML (FYP) Developing a machine learning-based system for accurate drone battery State- of- Charge (SoC) estimation. Using EV datasets and drone-specific data to train models like DNN, LSTM, and Random Forest. Integrate real-time SoC monitoring into drone hardware to enhance flight safety and efficiency. 220V DC to AC Inverter Design and Implementation of a Single-Phase 220V DC to AC Inverter Designed a 220V DC to AC inverter using IGBTs and PWM control with Arduino/ESP32. Achieved 90% efficiency and maintained Total Harmonic Distortion (THD) at 5%. Implemented and tested the inverter for stable and efficient power conversion
AI enrichment
Mohamed Imthiyaz Saied Ramalan is a recent Electrical Engineering graduate with a CGPA of 3.2, specializing in electric vehicles, solar energy, and machine learning applications. He possesses practical experience through internships in EV simulation and solar panel commissioning, alongside academic projects involving battery state-of-charge estimation and inverter design.
Skills (AI)
["Python", "C++", "C Language", "MATLAB", "Simulink", "Keras", "Convolutional Neural Networks", "Recurrent Neural Networks", "AutoCAD Plant 3D", "AutoCAD", "Electric Vehicle Dynamics", "Solar Energy Systems", "Machine Learning", "LSTM", "DNN", "Random Forest", "Inverter Design", "IGBTs", "PWM Control", "Arduino"]
Status: ai_done