Lucky Ajidoku

Lucky Ajidoku

AI Engineer • Software Developer
Abuja, NG.

About

Highly accomplished AI Engineer and recent Computer Engineering graduate (B.Eng., 2024) with proven expertise in developing and deploying advanced AI systems, from biometric facial recognition to award-winning energy solutions. Recognized nationally for leading the development of EnergizeAI, an AI-powered solar PV system, and adept at full ML stack development including data preprocessing, model deployment, and microservice architecture. Proficient in Python, TypeScript, Flutter, and Node.js, consistently delivering impactful software solutions and innovative AI applications.

Work

YoTouch
|

AI Engineer

Remote, Remote, XX

Summary

Developed and integrated advanced AI systems for decentralized blockchain identity verification, focusing on facial recognition and liveness detection.

Highlights

Developed an ArcFace-powered facial recognition module, enhancing identity verification accuracy by matching user selfies against NIN/BVN-linked government ID images.

Engineered and deployed a real-time liveness detection system utilizing challenge-response techniques (e.g., blink, head-turn), effectively preventing biometric spoofing and bolstering system security.

Designed and integrated a Python AI microservice for scalable face embedding generation and liveness verification within a multi-service architecture, improving system efficiency.

Seamlessly integrated critical biometric features into the YoTouch verification pipeline and backend scoring engine (Node.js/PostgreSQL), optimizing data flow and processing speed.

Ensured stringent NDPR and GDPR compliance by architecting an off-chain biometric data storage solution on a Cardano blockchain, safeguarding sensitive user information.

World Health Organization (WHO) / NYSC
|

Independent Monitor

Nasarawa, Nasarawa State, Nigeria

Summary

Monitored public health initiatives, collected critical field data, and provided data-driven insights to support health decision-making.

Highlights

Monitored critical immunization exercises across Nasarawa State, collecting high-quality structured data using ODK digital questionnaires to ensure program efficacy.

Analyzed comprehensive field data to derive actionable insights, which were presented at ward-level review meetings, directly informing and supporting health decision-making processes.

3MTT Fellowship - NITDA / Federal Ministry of Communications
|

AI/ML Fellow

Remote, Remote, XX

Summary

Led innovative AI/ML projects, developing advanced models and tools across diverse domains, and effectively communicating complex technical outcomes.

Highlights

Led the development of EnergizeAI, an AI-powered solar PV system blueprint designer, earning national recognition as the "Best Project" at the 3MTT June Knowledge Showcase 2025.

Architected and deployed diverse ML models across NLP, computer vision, recommendation systems, and predictive analytics, demonstrating versatility in AI application.

Executed end-to-end data preprocessing, feature engineering, model training, and rigorous evaluation using Python and Jupyter, ensuring robust model performance.

Effectively communicated complex technical project outcomes to facilitators, receiving commendation for clarity and impact, enhancing stakeholder understanding.

Education

Bayero University, Kano
Kano, Kano State, Nigeria

B.Eng.

Computer Engineering

Kaduna Polytechnic, Kaduna
Kaduna, Kaduna State, Nigeria

Diploma

Computer Engineering

Awards

Best Project (nationwide) - EnergizeAI

Awarded By

3MTT June Knowledge Showcase

Awarded for developing EnergizeAI, an AI-powered solar PV system design tool, recognized nationally for its innovation and impact.

Publications

IoT-Enabled High-Frequency Smart Energy Meter: Web-Based Data Management and Control
Hardware Implementation of PWM Solar Charge Controller Using Boost Converter Topology

Summary

Unpublished

Certificates

AI and Machine Learning

Issued By

3MTT / NITDA / Federal Ministry of Communications

Project Management

Issued By

Skill Development Council, Canada

Train-The-Trainer Programme

Issued By

Data Science Nigeria (DSN) × Microsoft

AI for Energy Hackathon

Issued By

Data Science Nigeria (DSN) × NNPC

Skills

Programming Languages

Python, TypeScript, JavaScript, C, Go, Dart.

AI/ML Technologies

TensorFlow, PyTorch, scikit-learn, ArcFace, OpenCV, NLP, Computer Vision.

Web Development

Flutter, Node.js, Express, React, FastAPI.

Databases & Tools

Power BI, Jupyter, Docker, Supabase, PostgreSQL, Git.

Blockchain & Biometric Systems

Blockchain, Biometric Facial Recognition, Liveness Detection, Cardano Blockchain.

Data Science & Analytics

Data Preprocessing, Feature Engineering, Model Training, Model Evaluation, Predictive Analytics, Data Analysis, ODK Digital Questionnaires.

Software Engineering

Microservice Architecture, System Deployment, Software Development, Backend Development.

Compliance

NDPR, GDPR.

Project Management

Project Management.

Mentorship & Training

Training, Mentoring, Technical Communication.

Projects

EnergizeAI - Solar PV System Designer

Summary

Built an AI tool that automates solar PV system blueprint design for engineers and field technicians.

GPMP - AI Pipeline Maintenance Detector

Summary

Designed and developed an AI-powered detector that predicts oil & gas pipelines due for maintenance, demonstrating real-world AI application in energy infrastructure.