Musa Samaila Ahmadu
Building end-to-end AI systems across speech, vision, NLP and autonomous agents
Computer Engineering graduate specializing in applied AI, Machine Learning, and Agentic AI systems, with five years of hands-on experience across data analysis, model development, and backend engineering. Proven track record designing and deploying end-to-end AI systems spanning speech recognition, NLP, computer vision, and autonomous LLM agents for public-sector, education, and security applications.
AI & Microservices Projects
Judicial AI Conversational Transcription System
Designed and deployed an AI-driven court record-keeping platform with multi-speaker diarization that accurately tracks and transcribes up to 10 distinct speakers in high-stakes legal proceedings, delivering searchable digital records.
EdTech Automated QA & Syllabus Pipeline
Engineered an automated quality-assurance pipeline that transcribes classroom lectures and cross-references content against the official syllabus using NLP, ensuring curriculum alignment and instructional effectiveness.
Real-time Sign Language Translation System
End-to-end real-time sign language recognition and translation system with integrated speech and text conversion, improving accessibility for the deaf and speech-impaired community. (Thesis project)
AI Security Alert System
Built an AI-powered security alert system that collects acoustic data via AudioMoth sensors, trains a custom detection model, and runs a real-time alerting pipeline for security-relevant sound events.
AI Travel Assistant (Agentic AI)
Engineered an LLM-powered agentic travel assistant that automates itinerary planning and generates personalized travel recommendations by connecting agents to tools and external data sources.