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Description

- Experienced AI Engineer & Cloud Migration Expert with a Ph.D. in Artificial Intelligence (700+ citations)

- Cloud Engineer with several years of experience in cloud-native systems and MLOps pipelines

- Experienced in manufacturing, banking, and industrial applications

- Focus on test automation and production-ready deployments

- Former lecturer for mathematics, programming, databases with a focus on cloud & AI applications

Industry field of expertise

Languages

German
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Deutsches Technologieunternehmen,
Project Manager – Process Automation
January 2024 - Today (2 years and 5 months)
Germany
Customer Project - German Technology Company, Germany January 2024 – Present
• Design of an AWS EKS cluster architecture using Kubernetes Operators and Custom Resources for business data processing
• Implementation of CI/CD pipelines with GitHub Actions
• Development of performance-optimized Python services with FastAPI and Async I/O for high-throughput data processing
• Development of a frontend with Vue.js 3 using the Composition API and the Vite build tool
• Creation of Terraform modules for multi-cloud deployment to support AWS EKS and GCP GKE
Führender deutscher Haushaltsgerätehersteller Deutschland
Project Manager - Production Tracking Solution
MECHANICAL ENGINEERING
June 2023 - December 2023 (6 months)
• Implementation of a product tracking pipeline with TorchServe and Kubernetes
CRDs for Model Serving
• Development of PyTorch models with EfficientNet-B4 backbone using
ONNX Runtime
• Design of an event-driven architecture with RabbitMQ and Redis Streams for
real-time processing
• Creation of CI/CD pipelines for ML models with MLflow
• Implementation of model quantization with the PyTorch Quantization API for
edge deployment
• Technologies: Kubernetes, PyTorch, ONNX Runtime, Redis, RabbitMQ, MLflow
Kubernetes Pytorch Python (Programming Language) RabbitMQ MLflow
Führender Chemiekonzern, Deutschland Februar 2023 – Dezember 2023
Anomaly Detection System for Industrial Processes
CHEMICAL
February 2023 - December 2023 (10 months)
• Development of LSTM-based anomaly detection with PyTorch with ONNX
Runtime deployment
• Implementation of a real-time pipeline with Apache Kafka and Go Channels for
high-throughput data
• Creation of an automated drift detection system with AWS SageMaker
Model Monitor
• Integration of Grafana dashboards with Prometheus metric collection
Kubernetes Apache Kafka Pytorch Golang Amazon Web Services (AWS) MLflow

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Ph.D. in Artificial Intelligence, Computer Vision
Albert-Ludwigs University of Freiburg
2019
Ph.D. in Artificial Intelligence, Computer Vision
Master in Computer Science
Karlsruhe Institute of Technology (KIT)
2015
Master in Informatik

Check out Duc Tam's education

Duc Tam N.

Ph.D. AI, Ex-Google, AI & Cloud Senior Expert

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