I am a 22-year-old final-year Marine Engineering student with a passion for bridging the gap between heavy engineering and modern technology. My work focuses on Educational Technology (LMS), Predictive Maintenance AI, and Computer-Aided Design (CAD).

A Predictive and Preventative Maintenance Model for Marine Engineering.

• The Problem: Optimizing maintenance schedules for marine diesel engines to prevent catastrophic failure.
• The Solution: An AI-powered system that uses LightGBM/XGBoost models to predict faults.
• Key Tech: Uses SHAP for explainability (so engineers understand why a fault is predicted), wrapped in a FastAPI backend with a React frontend.

Glassbox AI analyzes government tenders in real-time using a multi-modal approach that examines both:

• Structured data: Tender value, number of bidders, duration, complexity, PEP involvement
• Unstructured text: Tender descriptions analyzed with NLP to detect risk patterns The system provides instant risk scoring with SHAP-based explainability and AI-generated insights powered by Google's Gemini API.

A machine learning-powered creditworthiness assessment platform for smallholder farmers in Kenya, enabling financial inclusion through intelligent risk scoring.

• Alternative Data: Utilizes mobile money, satellite imagery, and SACCO records
• Real-time Scoring: Sub-second prediction latency
• Explainable AI: SHAP-powered feature importance analysis
• PDF Reports: Professional credit assessment reports for loan documentation
• Production Ready: FastAPI backend with Next.js frontend

I believe in active community involvement and leadership within the engineering space:

• Head of Administration - UNESCO JKUAT Adhoc Committee
• Secretary General - Marine Engineers in Kenya (Main Chapter) & SOMES (Society of Marine Engineering Students)
• Club Council Representative - Office of the Academic Affairs Secretary (Representing 77 Non-Academic Clubs)
• LMS Developer - Open University of Kenya (Content Digitizer)

• LinkedIn: Farid Muigu
• Email: muigufarid@gmail.com