Tung Hoang
Staff Software Engineer (AI Infrastructure) at Pfizer
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolTung Hoang is a software engineer with 11 years of experience building resilient data and AI platforms, currently shaping a SaaS analytics product for US healthcare at Komodo Health. He has deep expertise in real-time and large-scale data infrastructure—designing low-latency pipelines, event-driven frameworks, Airflow batch jobs and Kinesis streaming—gained across roles at Jellysmack, Generali and Renault. Tung led platform features such as data asset versioning and fine-grained access control, and at Jellysmack created standardized logging and the company’s first large-scale automatic monitoring system. He contributes to open-source systems for fault-tolerant message streaming, with focused work on configuration and stream control in the Liftbridge project. Comfortable across cloud-native AWS services and infrastructure-as-code, he combines pragmatic engineering with a strong operational mindset and a background in signal processing and computer science.
11 years of coding experience
8 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Sorbonne UniversitéOpen Studies Signal Processing, Open Studies Signal Processing at Tampere University of Technology 1965-2018Bachelor of Engineering (B.Eng.) Automation Engineering/Signal Processing, Bachelor of Engineering (B.Eng.) Automation Engineering/Signal Processing at Häme University of Applied Sciences, HAMK
English, French, Vietnamese
Github Skills (10)
golang10
configuration-management10
go10
message-queue10
streaming10
distributed-systems9
cloud-native8
nat7
natsio7
grpc7
Programming languages (4)
Github contributions (5)
liftbridge-io/liftbridge
Mar 2020 - Apr 2022
Kafka-style message streaming in Go. Built on NATS. Single binary, no JVM, no ZooKeeper.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:33 reviews, 111 commits, 12 PRs in 2 years
Contributions summary:Tung appears to be heavily involved in the development of Liftbridge's configuration management. They implemented features to read and parse configuration files using the Viper library, handling default configuration loading and integration with existing server components. The user also introduced stream configuration features, suggesting involvement in core server functionality and data management aspects of the message streaming system, as well as authorization setup. Their commits showcase a focus on the configuration and control of the underlying message streaming system.
gojvmkafkazookeepernats
LaPetiteSouris/KafkaStreaming
May 2018 - Mar 2019
Contributions:17 commits, 12 pushes, 1 branch in 9 months
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