Muhammad Ali Khan

I’m a software engineer passionate about building scalable, data-driven solutions and leveraging machine learning to solve complex challenges. I thrive on designing end-to-end systems and RESTful APIs that connect technical architecture to tangible human impact.

As a Software Development Intern (Python/Full Stack) at National Excellence Institute, I completed an intensive internship focused on full-stack development and scalable architecture. I built robust applications and optimized systems using Python, Django, Angular, and React within an Agile framework.

Alongside engineering, I’ve developed strong leadership and communication by driving Agile projects from concept to functioning prototypes and mentoring students. As a Computer Science Teacher at Star College, I developed and delivered curriculum on core Computer Science concepts, algorithms, and programming fundamentals, guiding learners in advanced problem-solving and logical thinking.

My projects reflect my focus on deep learning and predictive modeling. I built an AI Smart Glove with Flutter, ESP32, Firebase, Python, and ML/DL that supports hands-free voice interaction and real-time prediction, using a CNN classifier for hand gestures with 94.3% accuracy and < 1.5s latency. I also developed a Breast Cancer detection pipeline with high-performing models (Random Forest 97.4%, Logistic Regression 97.2%, Decision Tree 95%) using thorough preprocessing, feature engineering, and EDA, and created a secure E-health Management System for medical records, appointments, and prescriptions.