My Portfolio

About

Learn more about me

Software Engineer

As a passionate Software Engineer, I specialize in machine learning, web development, and mobile applications. With a strong focus on applying cutting-edge technologies to solve real-world problems, I thrive on developing innovative solutions that drive progress. My experience spans across building products that efficiently meet user needs while managing project dynamics and ensuring quality outcomes.

Birthday: Dec. 27, 1998
Website: https://ml-engineer.me/
Phone: +234 81304 02510
City: Kano

Age: 26
Degree: BSc Software Engineering
Email: muhammadibrahimisah0@gmail.com
Freelance: Available

Projects

Hours Of Support

Skills

Python 90%

Machine Learning Algorithm 80%

HTML/CSS 100%

Mobile apps 80%

Interests

Machine Learning

Testimonials

Resume

Check My Resume

Summary

Muhammad Ibrahim

Dedicated Software Engineer with experience in web frameworks and machine learning. Skilled in developing web and mobile applications with a focus on user-friendly design and functionality. Passionate about teaching and helping others gain practical programming skills. Proven track record in creating applications on GitHub and guiding learners through real-world projects

Professional Experience

Independent Software Developer

Jan 2018 - Present

Self-Employed

Develop web and mobile applications for various clients, focusing on user-friendly design and robust functionality.
Collaborate with clients to understand their needs and deliver customized software solutions.
Manage end-to-end development projects, from initial concept to final deployment.

Education

BSc Software Engineering - First-class honours

2019 - 2023

Bayero University, Kano

Awards & Recognition

Certificate of Appreciation

Sep 2024

Department of Software Engineering, Bayero University

Recognized for outstanding contributions to the development of the SWEBUK website for the Software Engineering Department. The award acknowledges tireless efforts and unwavering commitment to the success of the SWEBUK project during the 2022/2023 academic year.

Stanford University

Publications

Environmental Monitoring and Reporting System

May 2024

Muhammad Ibrahim Isah

Android-based Environmental Monitoring and Reporting System focused on transforming environmental data access, reporting, and awareness

Services

My Services

Design ML System

build and designing ML System according to user requirements

ML Algorithm

Researching and implementing ML algorithms and tools

UI Design

create advanced user interface design for mobile application

Data Analysis & Visualization

Clean, analyze, and interpret complex data sets; deliver actionable insights through clear visualizations.

API Development

Develop and integrate RESTful APIs to connect ML models and web/mobile interfaces efficiently

Mobile App Development

Build high-performance, cross-platform mobile apps, integrating ML capabilities where necessary for predictions or automation.

Model Evaluation & Optimization

Evaluate and fine-tune ML models for performance metrics, employing techniques like hyperparameter tuning and model compression.

Cloud Deployment

Deploy ML models and full-stack applications to cloud platforms enabling live inference and scalability.

Web App Development

Develop complex and responsive web applications.

Portfolio

My Works

All
Mobile App
Data Visualization
Web App
AI/ML Apps

Novetiv

A social media management app with integrated AI features

EMRS

Environmental monitoring and reporting

Dashboard

test

AFCNF

A smart web-based tool that helps Nigerian farmers track their environmental impact through carbon, water, and land footprint analysis with actionable sustainability insights.

MyAI – Intelligent Chatbot Assistant

An AI-powered chatbot application designed to provide conversational assistance, information retrieval, and interactive support across various topics.