# Shafiq Ninaba
> AI Engineer based in Singapore

## About
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 Engineer — AI Singapore
Jul 2025 – Present
- 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.

### Associate AI Engineer — AI Singapore
Jun 2024 – Mar 2025
- 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.

### Machine Learning Intern (Smart Systems & Solutions) — PSA Corporation Ltd
Jan 2023 – Jul 2023
- 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
- [Python](https://www.python.org/)
- [Linux](https://www.linux.org/)
- [MLflow](https://mlflow.org/)
- [Kedro](https://kedro.org/)
- [LangChain](https://www.langchain.com/)
- [LangGraph](https://www.langchain.com/langgraph)
- [Langfuse](https://langfuse.com/)
- [Pydantic](https://docs.pydantic.dev/)
- [FastAPI](https://fastapi.tiangolo.com/)
- [React](https://react.dev/)
- [Next.js](https://nextjs.org/)
- [Docker](https://www.docker.com/)
- [Kubernetes](https://kubernetes.io/)
- [Helm](https://helm.sh/)
- [ArgoCD](https://argo-cd.readthedocs.io/)
- [Terraform](https://www.terraform.io/)
- [Azure](https://azure.microsoft.com/)
- [AWS](https://aws.amazon.com/)
- [Google Cloud](https://cloud.google.com/)
- [Railway](https://railway.com/)
- [GitLab CI/CD](https://docs.gitlab.com/ci/)
- [GitHub Actions](https://github.com/features/actions)

## Studies
### Nanyang Technological University (NTU)
Aug 2020 – May 2024
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 and 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!

## Contact
- [Email](mailto:shafiqninaba@gmail.com)
- [GitHub](https://github.com/shafiqninaba)
- [LinkedIn](https://www.linkedin.com/in/shafiq-ninaba/)

Canonical HTML page: https://shafiqninaba.com/
Agent guidance: https://shafiqninaba.com/llms.txt