Tam Van
AI Fulllstack Engineer at VinoVoss
Hanoi, Vietnam
Summary
🤩
Rockstar🎓
Top SchoolTam Van is an AI full-stack engineer with 8 years of experience building production-ready ML and software systems across startups and R&D environments. He blends a background in automatic control with hands-on expertise in computer vision, backend services (Go), and frontend/mobile development from roles at Panasonic R&D, Cinnamon AI, InstillAI, Immertec and now VinoVoss. Tam has contributed to instill-core, improving model backend APIs and protobufs to better support model names, versions and prediction workflows—demonstrating an eye for robust integration in open-source AI infrastructure. Comfortable leading projects and shipping end-to-end solutions, he pairs practical engineering with project management experience and a knack for turning research-grade vision systems into scalable products.
8 years of coding experience
11 years of employment as a software developer
Bachelor’s Degree, Automatic Control, Good, Bachelor’s Degree, Automatic Control, Good at Hanoi university of Science and Technology
Github Skills (14)
go10
api10
apidoc10
protobuffer10
protobuf10
ml-deployment9
grpc9
continuous-deployment9
ai8
generative-ai7
pipeline7
typescript-types5
typescripts5
typescript5
Programming languages (8)
Github contributions (5)
instill-ai/instill-core
Feb 2022 - Jan 2023
🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed to streamline every aspect of building versatile AI-first applications
Role in this project:
Back-end Developer
Back-end DeveloperContributions:16 reviews, 49 commits, 36 PRs in 11 months
Contributions summary:Tam primarily focused on modifying and improving the model backend functionality within the Instill Core repository. Their work involved fixing prediction request types, updating model APIs to support model names and versions, and updating the model protobuf definitions. These changes included modifying example Go files to reflect these updates and adding new model parameters to create and deploy APIs. They also made typo fixes to improve the examples and integration tests.
pythondataai-researcherno-codeapi-first
instill-ai/model-backend
Jan 2022 - Feb 2023
⇋ A REST/gRPC server for Instill Model API service
Contributions:63 reviews, 168 commits, 345 PRs in 1 year
golangapiintegrationgrpclow-code
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