VICTOR EGBO

AI Engineer & Full Stack Developer

LinkedIn | GitHub

About

Highly accomplished AI Engineer and Full Stack Developer with robust expertise in designing, optimizing, and deploying scalable machine learning models and AI solutions. Specializing in Natural Language Processing (NLP) and recommendation systems, I integrate advanced AI into full-stack applications, driving impactful automation and enhanced decision-making. Skilled in cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes) for robust deployment. Possessing a curious, problem-solving mindset and strong collaborative skills, I am dedicated to developing ethical, high-performance AI systems that deliver significant business value and user engagement.

Work Experience

AI Intern

eHealth4Everyone

Dec 2025 - Present

Driving innovation in healthcare through AI-powered solutions, enhancing clinical decision-making and automating medical workflows.

  • Developed and deployed AI-powered healthcare tools, significantly enhancing decision-making capabilities and automating complex medical workflows.
  • Built and fine-tuned advanced NLP models for precise medical text analysis and interactive chatbot applications, improving data utility.
  • Integrated sophisticated AI solutions into existing web platforms via robust REST APIs, enabling real-time data processing and seamless user interaction.

AI Engineer & Full Stack Developer

Freelancer

Dec 2025 - Present

Led end-to-end development of AI-driven applications, from model design to full-stack deployment, for diverse client needs.

  • Designed and optimized machine learning models, delivering personalized recommendations and AI-driven automation systems that enhanced user engagement.
  • Developed comprehensive AI-powered applications using the MERN stack, integrating complex ML models for real-time decision-making and improved functionality.
  • Engineered and deployed robust REST APIs and microservices, ensuring scalable and high-performance AI applications.
  • Successfully deployed ML models on leading cloud platforms (AWS, Azure) and managed containerized applications using Docker and Kubernetes, ensuring high availability and scalability.

Field Data Analyst Intern

FSS DS Technologies

Dec 2025 - Present

Contributed to data preparation and analytical processes, laying the groundwork for robust AI model development and operational efficiency.

  • Preprocessed large, complex datasets, effectively preparing them for AI model training and streamlining operational automation workflows.
  • Implemented advanced anomaly detection techniques, significantly improving data reliability and accuracy within predictive analytics initiatives.

Education

Mechatronics Engineering

Landmark University

Courses

  • Machine Learning
  • Artificial Intelligence
  • Data Science
  • Engineering Mathematics
  • Robotics
  • Automation
  • AI-driven Control Systems

Projects

AI-Powered Sentiment Analysis Tool

Developed an advanced AI-powered sentiment analysis tool to process and interpret feedback efficiently.

Scalable Cloud-Deployed AI Models

Engineered and deployed scalable AI models on leading cloud platforms, optimizing for performance and reliability.

Machine Learning API Integration

Designed and integrated machine learning APIs into various applications to enhance functionality and user interaction.

Skills

Programming Languages

  • TypeScript
  • SQL

Programming Languages

  • C++

Machine Learning

  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning

Natural Language Processing (NLP)

  • GPT
  • BERT
  • Text Generation
  • Sentiment Analysis

Recommendation Systems

  • Collaborative Filtering
  • Matrix Factorization
  • Deep Learning Models

Computer Vision

  • YOLO
  • GANs
  • Object Detection

Ethical AI

  • Fairness
  • Bias Mitigation
  • Explainability

Backend Development

  • Node.js
  • Express.js
  • Flask

API Development

  • RESTful APIs
  • FastAPI
  • GraphQL

Cloud & DevOps

  • AWS
  • Azure
  • GCP
  • Docker
  • Kubernetes
  • CI/CD Pipelines

Frontend Development

  • React.js
  • Next.js
  • TypeScript
  • JavaScript
  • HTML
  • CSS

Databases

  • PostgreSQL
  • MySQL
  • MongoDB

Programming Languages

  • Python
  • JavaScript