👋 Shi Sian Tan — Machine Learning Engineer

Welcome to my portfolio site, powered by Jekyll and deployed via GitHub Pages.
This site highlights my work in:

• 🧠 Machine Learning & Deep Learning
• ⚙️ Scalable MLOps Systems
• 🧰 LLM Infrastructure & Generative AI
• ☁️ Cloud-native AI Solutions

🔗 Live site: shisian512.github.io

🚀 Featured Projects

• 🛠️ End-to-End MLOps Pipeline
  End-to-end pipeline from data to deployment with MLflow, DVC, and Kubernetes.
  Includes CI/CD automation, drift detection, and chaos engineering.
  Personal project, ongoing since Jul 2025

• 📚 University Curriculum Enabling Tool (Intel)
  Full-stack modular RAG system (Next.js + FastAPI + Payload CMS).
  Edge-optimized for Intel XPUs with multi-env Docker + GitHub Actions.
  Feb – Jul 2025, internal project – no public repo

• 🧠 Enterprise GenAI Platform (Intel OPEA)
  Containerized GenAI inferencing on Intel GPUs.
  Migrated workflows from systemd → Docker Compose and delivered PoC demos.
  Nov 2024 – Jan 2025

• 🔍 Workload Services Framework (Intel WSF)
  Validated AI workloads on Intel Xeon platforms, wrote test cases, and triaged bugs with JIRA.
  Improved platform stability and edge case coverage.
  Jul 2024 – Oct 2025

• 🎨 Deep Learning Image Colorization (Final Year Project)
  Designed and trained a cGAN model to colorize grayscale images.
  Evaluated results on perceptual quality and presented at academic symposium.
  Oct 2022 – Jul 2023

✳ Explore more details on the full Projects Page →

🔧 Tech Stack

• Frameworks & Tools: MLflow, DVC, FastAPI, Next.js, Payload CMS
• MLOps & Infra: Docker, Kubernetes, GitHub Actions, Prometheus, Grafana
• ML/DL: scikit-learn, TensorFlow, PyTorch
• Visualization: Tableau, Matplotlib, Seaborn

📬 Connect

• LinkedIn
• GitHub

© 2025 Shi Sian Tan