Nam Nguyen

Senior AI Engineer (MLOps / AI-Ops) — production AI systems (CV, NLP, GenAI)

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What I do

• Build end-to-end AI systems: data → model → deployment → monitoring → continuous improvement
• AI infrastructure & reliability: event-driven microservices, queues/streams, idempotency/DLQ, observability
• Real-time / edge AI: GPU/edge inference optimization (Jetson, TensorRT/ONNX Runtime), latency-driven design

Focus areas

• MLOps / AI-Ops: deployment automation, monitoring/alerting, capacity planning, operational debugging
• Computer Vision: detection, tracking, ReID, multi-camera analytics, document OCR
• NLP / GenAI: multi-turn conversational AI, RAG, agentic workflows

Core stack (hands-on)

• Languages: Python, Bash
• AI/ML: PyTorch, OpenCV, Hugging Face Transformers
• Serving/Edge: NVIDIA Triton, TensorRT, ONNX Runtime, Jetson
• Infra: Kubernetes (CKA/CKAD), Docker, Prometheus, Grafana
• Data/Messaging: Kafka, RabbitMQ, Redis, PostgreSQL

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