Luqman Ali

Assisted teachers in managing classroom activities, maintaining order, and ensuring a productive learning environment. Supported students during instructional activities, including one-on-one tutoring and small groups.

Monitored system performance, uptime, and availability, implementing performance tuning and optimization strategies. Identified and resolved hardware and software issues promptly, documenting system configurations and generating reports.

Gained practical experience in the operations and maintenance of a 132KV Grid Station. Assisted with various engineering tasks and learned about power distribution systems.

Activities and societies: Related Coursework: Machine Learning, Energy Systems and Sustainability, Digital Signal Processing, Advanced Static Power Conversion, Economic Operation of Power Systems, Power System Analysis. Programming Languages: C, C++, Python, MATLAB.

Developed advanced machine learning models to predict energy output from solar power plants, utilizing XGBoost, Long Short-Term Memory (LSTM) networks, and Random Forest algorithms. The project involved collecting and preprocessing historical solar generation and weather data, feature engineering, and model training and validation. Implemented performance evaluation metrics to compare model accura

Activities and societies: Related Coursework: Power Electronics, Signal and Systems, Management, Renewable Energy Systems, Telecommunication, Electrical Networks, Microprocessors and Microcontrollers.

Studied core concepts in electrical engineering, including power electronics, signal and systems, and renewable energy systems. Gained practical experience with microprocessors and microcontrollers.