From to , then to , now back in .
I am a software developer with 3+ years of experience and a background in data engineering:
pipelines, data modeling, and warehousing. I have co-authored four published AI/ML papers and
co-founded an ed-tech platform featured in national media. I hold an Erasmus Mundus joint MSc
from the University of L’Aquila and Åbo Akademi University.
Experience
Co-founded a non-profit ed-tech initiative; shipped a Vietnamese-language learning platform for overseas children.
Built an agentic RAG system over a 15,000-chunk C codebase dataset, lifting code generation quality by 25%; automated LLM evaluation in CI/CD.
Deployed and benchmarked vision-language models on Triton Inference Server; migrated the inference stack to the CSC Puhti HPC cluster.
Designed a Data-as-a-Service platform and Airflow ETL pipelines loading 500M+ rows into Redshift; built an enterprise GenAI platform and an MLOps forecasting pipeline.
Built the React frontend for an NFT game.
Projects
Trường Tiếng Việt Của Em
A free Vietnamese-learning platform for overseas children aged 5–12. Supported by the State Committee for Overseas Vietnamese, Ministry of Foreign Affairs.
Delivery Bot 3D
A 3D city simulation of a self-adaptive delivery robot that replans around new orders and roadblocks with a MAPE-K feedback loop.
Vending Machine
An interactive vending machine whose behavior is driven by a jjodel model, with live views of the underlying metamodel.
Coin Planets
Recreating my favorite childhood game with Phaser, and experimenting with AI-generated assets.
Scale of Everything
I love astronomy and pondering the scale of things, so I built this interactive zoom through the sizes of everything. A tribute to The Scale of the Universe 2 by Cary Huang.
CARA: Master’s Thesis
Context-aware retrieval augmentation for project-specific code summarization with LLMs. Video presentation.
Education
Erasmus Mundus joint degree with Åbo Akademi University.
Publications
- Thanh-Phuc Tran et al. Green Autoscaler for Performance Aware Microservices: a Machine Learning Approach. IEEE ICSA 2026. [paper]
- Quang-Tien Tran, Thanh-Phuc Tran et al. A Textual-Visual-Entailment-based Unsupervised Algorithm for Cheapfake Detection. ACM MM 2022. [paper] [award]
- Tuan-Vinh La, Quang-Tien Tran, Thanh-Phuc Tran et al. Multimodal Cheapfakes Detection by Utilizing Image Captioning for Global Context. ACM ICDAR 2022. [paper]
- Tuan-Vinh La, Minh-Son Dao, Quang-Tien Tran, Thanh-Phuc Tran et al. A Combination of Visual-Semantic Reasoning and Text Entailment-based Boosting Algorithm for Cheapfake Detection. ACM MM 2022. [paper]
Skills
- Programming
- Python, C/C++, JavaScript, TypeScript, SQL, Java
- Libraries
- PyTorch, Hugging Face, LangChain, AutoGen, MCP, scikit-learn, Pandas, Spark, React, Django
- Tools
- Git, Docker, AWS, GCP, Kubernetes, Airflow, MLflow, CI/CD
- Languages
- Vietnamese (native), English (C1), Italian (A1)
Honors
- Erasmus Mundus Joint Master Scholarship — fully funded, top 5% of applicants
- MediaTek vAward for outstanding internship contribution
- Winner, EDISS Winter School Hackathon
- Consolation Prize, Euréka Award for student scientific research (Vietnam)
- Best Data-Intensive Engineering Course Presentation (1st of 7)
- Outstanding Scientific Research Student, for the BSc thesis
- Third Place, 48-hour AtWare Hackathon (3rd of 10)