Shafiq Ninaba

AI Engineer

Hello! I'm Shafiq, a Singapore-based AI/ML Engineer with a background in Electrical & Electronic Engineering. I build end-to-end machine learning systems spanning computer vision, data engineering, and LLM-powered agentic workflows. Having deployed real-world AI solutions in production, I enjoy building robust, scalable pipelines that go beyond the notebook.

Work Experience

AI Singapore

– Present

AI Engineer

  • Contributing to the development of an enterprise AI-powered Learning Management System (LMS) as part of a 7-member team, architecting scalable cloud infrastructure on Azure to deliver personalized education experiences.
  • Sole owner of MLOps and DevOps infrastructure for the platform, implementing robust CI/CD pipelines through GitLab and orchestrating containerized deployments using Kubernetes, Helm, ArgoCD and Terraform to ensure high availability, observability, and seamless system maintenance.
  • Architecting and managing cloud-native infrastructure on Azure, leveraging Infrastructure as Code principles to enable rapid, reliable deployments across development and production environments.
  • Mentoring and leading apprentices in delivering client-facing AI solutions, providing technical guidance on machine learning pipelines, deployment strategies, and best practices in production-grade AI systems.

AI Singapore

–

Associate AI Engineer

  • Delivered an MVP for a $360,000 AI project in the construction industry in just 7 months.
  • Designed and deployed a full ML pipeline for 360° panoptic segmentation using CNN-based models trained on 3,000+ images with 100+ classes, achieving 95% mean accuracy.
  • Built a FastAPI backend to serve models with inference speeds 50% faster than required.
  • Developed CI/CD pipelines with test coverage and documentation for maintainability and handover.

PSA Corporation Ltd

–

Machine Learning Intern (Smart Systems & Solutions)

  • Engineered features from crane sensor data to improve predictive maintenance model accuracy.
  • Used DataRobot and Python for unsupervised anomaly detection via API integration.
  • Streamlined ETL pipelines and automated reporting workflows with Python and SQL, improving efficiency by 90%.

Technical skills

Studies

Nanyang Technological University (NTU)

–

Bachelor of Engineering (Electrical and Electronic Engineering), Honours (Distinction)

Specialized in Info-Communications Engineering with modules like Machine Learning Design & Application, Artificial Intelligence, Computer Vision, and Web Application Design.

Hobbies & Interests

Bouldering

I enjoy the problem-solving aspect of bouldering, which challenges both my mental and physical abilities. It's a great way to stay active while building strength and coordination.

Tech reviews

I love reading up & watching videos on the latest trends in technology, be it on the latest coolest gadgets, or the latest AI models and SWE frameworks!