azeem niazi
@azeemniazi
Aspiring engineer with a focus on AI and systems integration.
What I'm looking for
I hold a Bachelor's in Mechatronics Engineering and am currently pursuing a Master's in Systems Engineering. My academic journey blends hands-on engineering experience with a strong interest in AI, Machine Learning, and Computer Vision. I’m focused on applying these technologies through a systems-level approach to project management, product development, and complex system integration.
During my internship at Mari Energies, I gained valuable exposure to the operations of a leading oil and gas company. I rotated through key departments, including Maintenance & Asset Integrity and Process Engineering, which allowed me to understand core operational workflows. My academic projects, such as developing a digital twin of a solar PV system and a vehicular pollution detection system, have further honed my skills in modeling, simulation, and real-time data processing.
Additionally, I contributed to the design and development of a Unity-based game, where I applied my skills in game mechanics and user experience optimization. I thrive in collaborative environments and am eager to leverage my technical expertise to tackle complex engineering challenges.
Experience
Work history, roles, and key accomplishments
Operations Intern
Mari Energies
Jun 2025 - Present (3 months)
Gained exposure to day-to-day operations of a leading oil & gas company. Rotated through key departments, including Maintenance & Asset Integrity and Process Engineering, to understand core operational workflows.
Digital Twin of Solar System
Nust
Jan 2025 - Present (8 months)
Modeled and simulated a digital twin of a residential solar PV system. Utilized System Advisor Model (SAM) for performance analysis and Simulink for dynamic system simulation.
Vehicular Pollution Detection System
Beacon-House
Jan 2024 - Present (1 year 8 months)
Developed a full-fledged ML/Computer Vision–based system to detect harmful emissions from vehicles in real time. Integrated image processing and emission detection algorithms to identify non-compliant vehicles.
Automated Parcel Detection and Classification
Nust
Jan 2024 - Present (1 year 8 months)
Developed a Machine Learning and Computer Vision–based model for automated parcel detection and classification. Designed the system to operate in real time, improving sorting efficiency and reducing manual effort in logistics.
Game Development Apprentice
Mindstorm Studios
Jun 2023 - Present (2 years 3 months)
Contributed to the design and development of a Unity-based game from concept to prototype. Applied skills in game mechanics, level design, and user experience optimization.
Education
Degrees, certifications, and relevant coursework
National University of Sciences & Technology (NUST)
Master's, Systems Engineering
2024 -
Currently pursuing a Master's in Systems Engineering, focusing on applying AI, Machine Learning, and Computer Vision through a systems-level approach to project management, product development, and complex system integration. Modeled and simulated a digital twin of a residential solar PV system, utilizing System Advisor Model (SAM) for performance analysis and Simulink for dynamic system simulatio
National University of Sciences & Technology (NUST)
Bachelor's, Mechatronics Engineering
2020 - 2024
Completed a Bachelor's in Mechatronics Engineering, blending hands-on engineering experience with a strong interest in AI, Machine Learning, and Computer Vision. Developed a full-fledged ML/Computer Vision–based system to detect harmful emissions from vehicles in real time. Integrated image processing and emission detection algorithms to identify non-compliant vehicles and implemented automated im
Beacon-House
A-levels, General Studies
2018 - 2020
Completed A-levels at Beacon-House, providing a strong foundation for further academic pursuits. This period involved rigorous study across various subjects, preparing for university-level engineering studies.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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