Machine Learning Intern
- Completed hands-on work in classification, feature extraction, data preprocessing, and structured AI workflows.
- Connected machine-learning and computer-vision concepts with robotics and autonomous-systems use cases.
Hi, I am Minahil, an electrical engineering undergraduate at NUST College of E&ME. I work across embedded systems, electronics, C++ software, Python workflows, and machine-learning prototypes, with a growing focus on robotics, autonomous systems, and computer vision.
"The strongest steel is forged in the hottest fire."
My projects combine sensor-driven hardware, simulation logic, analog electronics, interface design, and machine-learning fundamentals.
Experience
A compact record of hands-on learning, freelance execution, communication, and technical workflows.
Education & Awards
Academic foundations in engineering, science, programming, electronics, and competition-based learning.
Focused on electrical engineering, programming, electronics, embedded systems, applied engineering design, autonomous systems, and machine learning.
Received 2nd Runner-Up among 26 competing teams for the Persistence of Vision display project.
Projects
C++ simulations, embedded prototypes, analog electronics, ML workflows, and Python analytics projects.
Designed a city-scale EV charging ecosystem with dock allocation, scheduling, load optimization, deferred booking, renewable-energy selection, and analytics.
Built a supervised ML pipeline for spam detection using text preprocessing, feature extraction, classification, and performance evaluation.
Contributed to a rotating POV display using ESP-12 control and Hall-effect synchronization for stable 360-degree LED visual patterns.
Developed a parking simulation with registration, intelligent slot allocation, monitoring, fee computation, VIP priority, and revenue reporting.
Built a Python energy platform with authentication, billing automation, overload detection, analytics, and linear-regression-based consumption prediction.
Created a robotic vehicle using Arduino Uno, L298N motor driver, Bluetooth communication, PWM motor control, and iterative hardware testing.
Open to student collaborations, freelance web/design support, embedded systems ideas, machine-learning experiments, and robotics-focused projects.
Based near NUST College of E&ME, working across engineering coursework, embedded builds, software projects, and remote freelance collaborations.
Send a short note about your project, idea, or opportunity.