Web Developer

Sadiq Shehu

Web Developer | Sofware Engineer | Machine Learning Engineer

I'm Sadiq Shehu Musa, a dedicated Software Engineer and Machine Learning Developer with a strong foundation in Java and Python. I specialize in building intelligent systems and functional web solutions that bridge traditional software engineering with modern AI applications. I’m currently a Computer Science student at the Air Force Institute of Technology, where I explore core areas of machine learning, software design, and algorithmic problem solving. My work focuses on developing efficient models, writing clean and maintainable code, and applying analytical thinking to real-world problems. While I build web interfaces using HTML and CSS (no JavaScript bloat), my primary strength lies in creating logic-driven applications and AI-powered tools. My technical curiosity keeps me experimenting with new models, frameworks, and integration methods to push what’s possible at the intersection of software and intelligence. When I’m not coding or training models, I’m probably learning new languages, studying tech trends, or analyzing how emerging AI systems can transform human-computer interaction.

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What I Do

Machine Learning

I design and implement machine learning pipelines using Python. My work involves data preprocessing, feature engineering, model training, and performance evaluation with libraries such as NumPy, Pandas, scikit-learn, and Prophet. I also build and deploy data-driven applications using Streamlit, enabling seamless interaction between users and predictive models.

Software Development with Java

I'm proficient in Java, with a strong command of object-oriented programming principles, data structures, and algorithmic problem-solving. I develop efficient and maintainable applications by applying modular design, exception handling, and performance optimization techniques suitable for scalable systems.

Web Development

I create responsive, structured, and lightweight web interfaces using HTML and CSS. My approach prioritizes semantic markup, accessibility, and optimized design without overreliance on JavaScript frameworks. Every site is built with scalability and performance in mind, ensuring consistent behavior across platforms and devices.

Data Engineering & Automation

I build automation pipelines for data collection, transformation, and integration to support machine learning workflows. I leverage Python scripting and APIs to streamline dataset preparation, automate repetitive tasks, and optimize end-to-end data handling for analytics and predictive modeling.

Resume

5 Years of Experience

Education

2023

Computer Science

Air Force Institute Of Technology

Currently pursuing a Bachelor’s degree in Computer Science, building a solid foundation in Data Structures and Algorithms, Object-Oriented Programming (Java, Python), Databases (SQL), Web Development, and Artificial Intelligence. My coursework and projects strengthen my software engineering, analytical thinking, and problem-solving abilities, preparing me to design efficient, scalable, and data-driven solutions for real-world applications.

2025

Java Programming From Beginner To Advance

AQSkills

Comprehensive training in Java programming, from fundamentals to advanced concepts. Gained expertise in core programming principles, object-oriented design (OOP), and GUI development using Java Swing. Applied knowledge to build real-world projects, including a 2D desktop game featuring animation, event handling, and object interaction. Strengthened proficiency in problem-solving, software design, and application development using Java.

Experience

2025

Machine Learning Intern

IHIFIX INNOVATION HUB

At Ihifix Innovation Hub, I applied Python, NumPy, Pandas, Scikit-learn, and Matplotlib to build and deploy machine learning models for data-driven problem solving. I worked on end-to-end ML pipelines — from data preprocessing, feature engineering, and model training (KNN, Linear Regression, SVM) to model evaluation using metrics such as MSE, RMSE, and accuracy score. I also implemented time series forecasting with Facebook Prophet and created interactive Streamlit dashboards for visualization and prediction. This experience strengthened my foundation in AI model development, data analytics, and ML system deployment.