Michel Tan
@natan497
Cloud Infrastructure Engineer specializing in AI/ML systems
What I'm looking for
Cloud Infrastructure Engineer specializing in AI/ML systems and GPU infrastructure. Proven track record orchestrating NVIDIA A100, H100, and H200 clusters, automating cloud infrastructure with Terraform and OpenStack, and implementing monitoring solutions with Prometheus and Grafana. Full-stack background in Node.js, TypeScript, Python, and FastAPI. Actively seeking full-time or contract engineering roles.
Experience
Work history, roles, and key accomplishments
AI/ML Cloud Engineer
Eranya
Feb 2025 - Mar 2026 (1 year 1 month)
Delivered AI/ML solutions and cloud architecture, managing end-to-end project lifecycles from discovery through production release. Designed GPU training and inference pipelines on NVIDIA A100/H100/H200 and reduced idle GPU compute time by ~30% through containerized workload orchestration.
Designed and optimized GPU cloud infrastructure for ML workloads, managing NVIDIA A100/H100 multi-node clusters and meeting reliability requirements for mid-market AI teams. Improved inference throughput by 35% by re-architecting model-serving pipelines with Kubernetes, Docker, and Helm, and implemented observability with Prometheus and Grafana.
Delivered full-stack features for SAP Business Technology Platform using Node.js, TypeScript, and Python/FastAPI, supporting enterprise SaaS customers across the EMEA region. Automated infrastructure provisioning with Terraform to reduce deployment lead time by 45% and built observability with Prometheus and Grafana to support 99.95% SLA compliance.
Education
Degrees, certifications, and relevant coursework
SIM Global Education
Computer Software Engineering, Software Engineering
2016 - 2019
Grade: 3.6
Activities and societies: Basketball; Hackathon
Studied Computer Software Engineering at SIM Global Education and participated in basketball and hackathons.
Availability
Location
Salary expectations
Social media
Job categories
Skills
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