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MARTIN NJOROGE
🇰🇪Kenya (UTC+03:00)
Created AtUpstaffer since December, 2025

MARTIN NJOROGE — AI Trainer & Freelance Software Engineering Consultant

Expertise in Full Stack Web (2.0 yr.), AI and Machine Learning (2.0 yr.).

Last verified on December, 2025

Core Skills

Bio Summary

Software Engineer with hands-on experience in AI training and software development. Proficient in Python, Java, C++, JavaScript, PHP, and MySQL. Skilled with TensorFlow, Scikit-Learn, and PyTorch. Master's and Bachelor's degrees in Software Engineering and Intelligent Systems from Kirinyaga University. Developed an AI-augmented code optimization framework and an academic performance predictor using ML techniques. Strong background in full-stack system development, machine learning model evaluation, dataset annotation, and software engineering research.

Technical Skills

Programming LanguagesJava, JavaScript, PHP, Python
Ruby Libraries and ToolsActive model serializer
C++ Libraries and ToolsC/C++/C#
UI Frameworks, Libraries, and BrowsersHTML/CSS Preprocessors
AI & Machine LearningNeural Networks, NLP, PyTorch, Scikit-learn, TensorFlow
Python Libraries and ToolsPyTorch, Scikit-learn, TensorFlow
Data Analysis and Visualization TechnologiesData Analysis
Databases & Management Systems / ORMData Lake, MySQL
Methodologies, Paradigms and PatternsArchitecture and Design Patterns
Virtualization, Containers and OrchestrationDocker
Version ControlGit
Operating SystemsLinux
Third Party Tools / IDEs / SDK / ServicesMicrosoft Visual Studio Code
Other Technical SkillsOptimism

Work Experience

Researcher - Master's Thesis, AI-Augmented Code Optimization and Predictive Debugging Framework

Duration: August 2023 – On-going
Summary: Developed an AI-Augmented Code Optimization and Predictive Debugging Framework exploring the use of large language models to analyze, detect, and correct code issues.
Responsibilities: Dataset refinement, annotation, error analysis, and algorithmic research.
Technologies: Large Language Models, Python, AI/ML Tools
Research Assistant, AI & Innovation Research Group Collaboration

Duration: Date Not Specified
Summary: Contributed to Python-based tool creation, dataset curation, and evaluation of experimental AI models with the university's AI & Innovation Research Group.
Responsibilities: Tool creation, dataset curation, experimental AI model evaluation.
Technologies: Python, AI/ML Tools
Student - Final-Year Project, AI-Based Academic Performance Predictor

Duration: Date Not Specified
Summary: Created an AI-Based Academic Performance Predictor using machine learning techniques to forecast student performance.
Responsibilities: Applied AI and model evaluation.
Technologies: Machine Learning, Supervised Learning, Python
AI Trainer & Freelance Software Engineering Consultant, AI Training & Software Consulting

Duration: 2023 to Present
Summary: AI model training, refinement, and evaluation, and development of Python-based tools for automation and model diagnostics.
Responsibilities: Train, refine, and evaluate AI models through structured dataset creation and annotation. Develop automation tools and evaluate AI outputs.
Technologies: Python, AI/ML Tools, Dataset Creation, NLP
Software Development Intern, University Systems Development

Duration: January 2022 - December 2022
Summary: Assisted in the development, testing, and maintenance of internal systems for Kirinyaga University with a focus on web solutions.
Responsibilities: Development, testing, maintenance of systems, performance improvement, and contribution to administrative efficiency.
Technologies: PHP, JavaScript, HTML/CSS, MySQL
Education

  • Master of Science in Intelligent Systems & Software Engineering
    This Master’s program exposed me to advanced concepts in Machine Learning, Intelligent Algorithms, Deep Learning, Software Architecture, and Human–AI Interaction.
    August 2023 – July 2025
  • Bachelor of Science in Software Engineering
    My Bachelor’s Degree established a strong technical foundation in programming, system design, databases, and computational thinking.
    September 2020 – July 2023

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