Shi Sian Tan (Nick)

Quietly building intelligent systems so they can speak louder than I do.

Over the past 12 months at Intel, I’ve had the privilege of contributing to three major AI-related initiatives, each significantly shaping my journey through real-world infrastructure, full-stack delivery, and deep technical challenges.

1️⃣ AI Workload Validation - Intel WSF

  • Engineered inference pipelines utilizing Docker, Kubernetes, and Ansible.
  • Designed structured test cases and debugged performance bottlenecks for workloads on the Intel Xeon platform.
  • Consistently delivered validation improvements in dynamic environments.
  • Identified, reported, and tracked performance issues and bugs for diverse workloads in JIRA.
  • This project highlighted the critical importance of cross-cultural communication and collaboration, working closely with our colleagues at Intel China.

2️⃣ GenAI Platform Deployment - Intel OPEA

  • Deployed microservices across Intel GPU/iGPU platforms using Docker Compose, with optimizations from OpenVino / ipex-llm.
  • Successfully migrated legacy systemd services to containers, significantly enhancing maintainability.
  • Resolved issue related to OPEA project, directly improving deployment success rates.
  • Gained in-depth knowledge of the OPEA platform and GPU hardware support expansion through close team collaboration.

3️⃣ LLM-Powered AI Platform with RAG Integration

  • Developed robust full-stack features leveraging Next.js, FastAPI, and Payload CMS.
  • Designed and implemented efficient backend APIs with FastAPI, focusing on robust data handling and complex logic.
  • Contributed significantly to Payload CMS schema design, meticulously defining collections and fields to optimize content management and data structures for educational flows.
  • Proposed and successfully shipped new features to support cutting-edge AI-driven education experiences.

🎓 Professional Growth Training: Completed “High Impact Conversation” by Wisdom Woods and “Positive Leadership” by IMMERSIVE. Recognition: Served as Event ExCo at Intel Graduates Club, contributing to the team awarded “GAR Team of the Year.” Volunteering: Participated in the Penang International Science Fair 2024, representing Intel Booth.

🧠 Key Takeaways

  • Cultivating systems thinking from firmware to inference.
  • Always build with purpose and focus on measurable impact.
  • Understanding that great engineering equals continuous learning, strong ownership, and seamless collaboration.

I’m currently open to new opportunities where I can leverage my expertise in AI infrastructure, LLM deployment, or full-stack AI systems. I’m eager to contribute to innovative projects in the broader AI/ML development space.

Disclaimer: This is my personal summary and does not reflect Intel’s official position.

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