Datย Ngo
Director Of AI Solutions, EMEA APJ at Arize AI
Berlin, Germany
Summary
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Top SchoolDat Ngo is Director of AI Solutions for EMEA/APJ at Arize.ai, bringing four years of focused machine learning and productionization experience built on a foundation in applied statistics and petroleum engineering. He has a track record of architecting cloud-native, event-driven ML systems and NLP ensembles that move noisy, real-world data into reliable scoring and prospecting pipelines across finance and energy sectors. Previously he led data science and engineering efforts at PointPredictive, Wood Mackenzie and alliantgroup, combining model design with microservices, Kafka, and serverless AWS deployments. As a co-founder he explored coordinated autonomous vehicle networks, showing a curiosity for distributed agent systems beyond traditional ML roles. Based in Berlin, he blends hands-on technical delivery with cross-functional leadership across EMEA/APJ, often translating complex regulatory and domain constraints into practical AI solutions. He is known for pairing rigorous statistical thinking with product-focused engineering to get models safely into production.
4 years of coding experience
4 years of employment as a software developer
Master of Science - MS Applied Statistics, Master of Science - MS Applied Statistics at Texas A&M University
Github Skills (23)
langchain10
datasets10
prompt-engineering10
openai10
llmops10
anthropic10
vertex9
google-colaboratory9
telemetry8
haystack8
opentelemetry6
python6
jupyter-notebook5
machine-learning5
notebook5
Programming languages (3)
Github contributions (5)
datdarylngo/cursor_testing
Nov 2024 - Nov 2024
Contributions:11 pushes, 1 branch in 8 days
arizedatngo/arizeData
Jan 2022 - Jan 2022
Contributions:5 pushes, 1 branch in 2 days
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