Sense
Sensors, circuits, and embedded hardware gather the real-world signal.
Portfolio '26
Minahil Ahsan
An Electrical Engineering Student Building Smart Systems.
Designing intelligent solutions through embedded systems, machine learning, electronics, software, and robotics-focused innovation.
C++
Python
ML
websites
Arduino
"The strongest steel is forged in the hottest fire."
About Me
Exploring, Building, Innovating.
I am an Electrical Engineering student at NUST, passionate about building intelligent systems that blend hardware, software, and innovation. My interests span embedded systems, robotics, autonomous systems, machine learning, and computer vision, with a focus on creating technologies that are practical, impactful, and future-driven.
Embedded systems
Robotics
Autonomous systems
Machine learning
Computer vision
Compute
C++, Python, and machine-learning logic turn raw inputs into decisions.
Build
The final system is designed to be practical, reliable, and easy to understand.
technical projects across embedded systems, ML, software, electronics, and web development.
position at Voltfest Embedded Systems Competition for a POV display project.
Skills
The Skills Behind Every Solution.
The tools and technologies I use to turn ideas into functional systems.
Programming
Python, C++, Object-Oriented Programming, Data Structures, Algorithms, File Handling, Debugging.
Machine Learning
TensorFlow, Keras, Scikit-learn, CNNs, Classification, Regression, Natural Language Processing.
Data Analytics
Exploratory Data Analysis, Data Preprocessing, Feature Engineering, Imbalance Handling, Model Evaluation.
Modelling & Control
MATLAB, Nonlinear Modelling, System Simulation, Open-Loop Analysis, Feedback Control.
Embedded Systems
Arduino Uno, ESP-12, Motor Drivers, Sensors, PWM Control, Hardware Integration.
Electronics
LTspice, Analog Circuits, Operational Amplifiers, RC/RLC Filters, FFT, Bode Analysis.
Engineering Design
SOLIDWORKS, AutoCAD, 3D Modelling, Engineering Drawings, Manufacturability.
Research & Development Tools
Streamlit, Git, GitHub, Overleaf, LaTeX, Jupyter Notebook, VS Code, Google Colab.
Projects
Building Solutions Through Engineering.
A collection of engineering projects built across software, embedded systems, machine learning, and electronics.
Cost-Sensitive APS Failure Classification
Tech Stack
Python • Machine Learning • Streamlit
Description
Built a cost-sensitive machine-learning pipeline to predict APS failures from highly imbalanced operational data.
Key Feature
View Details
Decision-threshold optimization for failure-cost reduction.
Smart EV Charging Network
Tech Stack
C++ • OOP • System Simulation
Description
A city-scale EV charging ecosystem designed to optimize dock allocation, scheduling, renewable energy usage, and charging efficiency.
Key Feature
View Details
Built with scalable object-oriented architecture and real-world operational logic.
Email Spam Classifier
Tech Stack
Python • Machine Learning • NLP
Description
A supervised machine learning pipeline for detecting spam emails using text preprocessing, feature extraction, and classification.
Key Feature
View Details
Designed to transform unstructured text into accurate predictive insights.
MNIST Digit Recognition
Tech Stack
Deep Learning • CNN • TensorFlow
Description
A handwritten digit recognition system trained on the MNIST dataset using deep learning techniques for image classification.
Key Feature
View Details
Demonstrates real-world computer vision through high-accuracy handwritten digit recognition.
Housing Price Prediction
Tech Stack
Python • Machine Learning • Data Analytics
Description
A machine learning model that predicts California housing prices using feature selection, regression, and data preprocessing.
Key Feature
View Details
Built with Random Forest regression and optimized using feature importance analysis.
Iris Flower Classification
Tech Stack
Python • KNN • Machine Learning
Description
A flower species classification model using the Iris dataset with feature scaling and K-Nearest Neighbors.
Key Feature
View Details
Demonstrates supervised learning through accurate multi-class classification.
Persistence of Vision Display
Tech Stack
ESP-12 • Embedded Systems • IoT
Description
A rotating LED display that creates stable 360-degree visual patterns using precise timing and Hall-effect synchronization.
Key Feature
View Details
Awarded 3rd Position at Voltfest 2026 among 26 competing teams.
Analog Signal Conditioning
& Waveform Synthesis
Tech Stack
Analog Electronics • Filter Design • Signal Processing
Description
Designed, simulated, and validated analog filter circuits for waveform extraction using Fourier analysis, LTspice simulations, and practical hardware implementation.
Key Feature
View Details
Implemented four analog filter stages for waveform extraction and signal conditioning.
Smart Parking Management System
Tech Stack
C++ • OOP • Data Structures
Description
A parking management simulation featuring intelligent slot allocation, billing automation, monitoring, and transaction management.
Key Feature
View Details
Designed to simplify parking operations through efficient data management algorithms.
Thermal Safety Controller
Tech Stack
Analog Circuits • Electronics • Simulation
Description
An analog thermal safety controller using operational amplifiers and comparator-based decision logic for real-time protection.
Key Feature
View Details
Validated through both LTspice simulation and hardware implementation.
Smart Energy Billing System
Tech Stack
Python • Data Analysis • Machine Learning
Description
An energy management platform for monitoring consumption, automating billing, and forecasting future energy usage.
Key Feature
View Details
Integrated predictive analytics using linear regression for smarter energy planning.
Bluetooth-Controlled Arduino Car
Tech Stack
Arduino • Embedded Systems • Robotics
Description
A wireless robotic vehicle featuring Bluetooth communication, PWM motor control, and real-time navigation.
Key Feature
View Details
Built to demonstrate reliable hardware-software integration and embedded control.
Laser Security & Detection System
Tech Stack
Arduino • Embedded Systems • Sensors
Description
A laser-based intrusion detection system using LDR sensing and real-time alarm activation for security applications.
Key Feature
View Details
Combined embedded electronics with practical system design for reliable intrusion detection.
Experience
Where Knowledge Meets Practice.
Practical growth through internships, freelance projects, and hands-on technical work.
Jun 2026–Sep 2026
Simulation and Controls Intern
- Developed MATLAB-based simulation and control workflows for Yo-Go, a self-balancing personal mobility vehicle designed for dynamic stabilization, motion control, and body-motion-based interaction.
- Modeled Yo-Go as an underactuated inverted-pendulum-on-wheels system using pitch angle, pitch rate, wheel position, and wheel velocity states to evaluate nonlinear dynamics, open-loop instability, and upright stabilization requirements.
- Built modular simulation components for actuator constraints, IMU and encoder feedback, load-sensor inputs, sensor-noise modeling, filtering, state estimation, upright stabilization, controlled motion, and posture-based rider intent mapping.
Jul 2026–Sep 2026
Engineering Intern
- Contributed to the complete design and development of a BAJA SAE off-road vehicle, including chassis, powertrain, steering, suspension, braking, and mechanical subsystem integration.
- Developed and evaluated SOLIDWORKS CAD models, assemblies, and engineering drawings with emphasis on design intent, dimensional accuracy, assembly constraints, motion validation, manufacturability, and system-level packaging.
- Applied mechanical design, vehicle dynamics, and simulation principles to evaluate steering and suspension behaviour, drivetrain configuration, structural load paths, and subsystem integration throughout the vehicle development process.
Feb 2026–Mar 2026
Machine Learning Intern
- Developed end-to-end machine-learning and deep-learning workflows in image classification, natural language processing, and regression using Python, TensorFlow, Keras, and Scikit-learn.
- Applied data preprocessing, feature engineering, model training, hyperparameter configuration, and performance-evaluation techniques across multiple predictive tasks.
- Implemented CNN-based digit recognition, spam-email classification, and Random Forest housing-price prediction projects.
2025 - Present
Freelance Web and Design Support
- Deliver website, design, and digital-support work with a focus on clean presentation, usability, and polished final output.
- Handle client requirements, revisions, communication, and delivery across freelance web, design, and content tasks.
- Support independent client projects while strengthening practical workflow, documentation, and visual problem-solving skills.
Undergraduate Research
Research
Aug 2026–Present
Data-Driven Wheel-Slip Estimation for Mobile Robots Using Multimodal Sensor Fusion
- Investigating wheel-slip estimation using wheel-encoder, IMU, and motor-response data under varying terrain, payload, speed, and sensor-noise conditions.
- Developing MATLAB/Simulink and Python workflows for sensor-data generation, preprocessing, multimodal sensor fusion, and machine-learning-based continuous slip estimation.
- Extending the study toward slip-aware odometry and adaptive traction control, with evaluation of estimation accuracy, robustness, trajectory tracking, and computational efficiency.
Education
The Foundation Behind My Engineering Journey.
Bachelor of Electrical Engineering
Building a strong foundation in electrical engineering, electronics, programming, and intelligent systems.
FSc / Intermediate
Matriculation
Recognition • Certifications
Achievements & Certifications
2026
Voltfest Competition
3rd Position among 26 Teams
2026
DataDive Datathon’26
2026
HackSummer’26
2026
Build Process of Autonomous Maze Solvers
2026
Supervised Machine Learning: Regression and Classification
2026
Getting Started with Generative AI
2026
Google Ads for Beginners
2023
Programming for Everybody: Getting Started with Python
Achievements & Certifications
Recognition • Certifications
Every achievement
reflects dedication,
consistency and
drive to grow.
2026
Voltfest Competition
CEME, NUST
3rd Position among 26 Teams
2026
DataDive Datathon’26
Google Developer Groups on Campus, NUST
2026
HackSummer’26
Microsoft Club GIKI
2026
Build Process of Autonomous Maze Solvers
Robotics & Automation Club, NUST
2026
Supervised Machine Learning: Regression and Classification
Coursera
2026
Getting Started with Generative AI
IBM SkillsBuild
2026
Google Ads for Beginners
Coursera
2023
Programming for Everybody: Getting Started with Python
Coursera
Recognition • Certifications
Achievements & Certifications
Voltfest Competition
CEME, NUST
3rd Position among 26 Teams
DataDive Datathon’26
Google Developer Groups on Campus, NUST
HackSummer’26
Microsoft Club GIKI
Build Process of Autonomous Maze Solvers
Robotics & Automation Club, NUST
Supervised Machine Learning: Regression and Classification
Coursera
Getting Started with Generative AI
IBM SkillsBuild
Google Ads for Beginners
Coursera
Programming for Everybody: Getting Started with Python
Coursera
Leadership & Community
Leadership&Community
Beyond engineering, I contribute through leadership, collaboration, and community initiatives.
-
Deputy Director Research & Publication
ASME CEME Student Section
Aug 2026 – Present
-
Deputy Director Media & Graphics
BIOMISA Research & Innovation Student Club (BRISC)
Jul 2026 – Present
-
Deputy Director PCB Milling
Aug 2026 – Present
-
Deputy Director Women in Empowerment (WIE)
ASME CEME Student Section
Aug 2026 – Present
-
Community Health & Safety Volunteer
Pakistan Life Savers Programme
Aug 2026
-
Student Intern
Alkhidmat Foundation Pakistan
Jul 2026 – Aug 2026
-
Student Volunteer
National University of Sciences and Technology · Rawal Lake Cleaning Drive
Feb 2026
Collaborate
Building Toward Tomorrow.
Passionate about building intelligent technologies at the intersection of robotics, machine learning, computer vision, and autonomous systems.
Robotics
Designing intelligent systems that combine hardware, software, and automation to solve real-world challenges.
Machine Learning
Developing intelligent models that transform data into meaningful insights and informed decisions.
Computer Vision
Exploring how machines can perceive, interpret, and interact with the world through visual intelligence.
Autonomous Systems
Building systems capable of sensing, adapting, and operating intelligently with minimal human intervention.
Let's innovate together
Open to internships, research opportunities, engineering projects, startups, and meaningful collaborations.
Based In
Islamabad, Pakistan
Location
Pakistan
Find Me Around the Web.
A few places where I share, create, and connect.
LinkedIn@minahilahsanawanProfessional network
InstagramAvailable on requestVisual updates
GitHub@minahilahsanawanOpen Source & Projects
UpworkAvailable on requestFreelance services
FiverrAvailable on requestFreelance services
Emailminahilahsaanawan@gmail.comReach Out Anytime
Let's work together
Have an opportunity, project, collaboration, or idea in mind? Feel free to reach out.