Vinh Do is a Computer Science student with hands-on experience building practical, user-focused software. He works across backend development, data workflows, and AI-assisted applications, with projects including API-driven systems and lightweight analytics tools. He values clean architecture, clear communication, and fast, reliable delivery.

Vinh Do

Vinh Do is a Computer Science student with hands-on experience building practical, user-focused software. He works across backend development, data workflows, and AI-assisted applications, with projects including API-driven systems and lightweight analytics tools. He values clean architecture, clear communication, and fast, reliable delivery.

Available to hire

Vinh Do is a Computer Science student with hands-on experience building practical, user-focused software. He works across backend development, data workflows, and AI-assisted applications, with projects including API-driven systems and lightweight analytics tools. He values clean architecture, clear communication, and fast, reliable delivery.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Fluent

Work Experience

AI/ML Software Engineer Intern at Rikkeisoft
May 1, 2025 - August 31, 2025
Built a lightweight, streamable HTTP MCP architecture for OpenAI RAG model integration, cutting response latency by 52% and enabling fast, modular deployment. Designed and proposed a CLine graph-based retrieval model, improving semantic accuracy and boosting answer precision by 22% over standard RAG approaches. Optimized end-to-end vector pipeline with LangChain and ChromaDB, increasing query throughput by 45% and enhancing chatbot responsiveness.
Software Engineer - Research Assistant at Oakridge National Laboratory
October 1, 2024 - May 31, 2025
Built a C++ toolpath compiler with OpenVDB, improving machining path generation efficiency by 25%. Optimized backend processing with multi-threaded algorithms using Intel TBB, handling 500GB+ datasets and complex models, reducing processing time by 40% and improving scalability. Developed caching mechanisms, decreasing I/O latency by 15% and enabling real-time 3D analysis.
Software Engineer Intern at FPT Software Corporation
May 1, 2024 - August 31, 2024
Developed scalable Spring Boot microservices, supporting operations for 400+ clinics nationwide. Engineered 15+ RESTful API endpoints integrating Jitsi and Keycloak to implement secure, real-time video conferencing and authentication with Google Cloud Speech-to-Text API, streamlining doctor-patient interaction note generation, reducing manual entry time by 40%. Automated documentation with Google Cloud Speech-to-Text API, reducing manual entry time by 40% and enhancing workflow productivity.

Education

Bachelor of Science in Computer Science, Mathematics at Florida State University
January 11, 2030 - May 1, 2027

Qualifications

IBM Full-Stack Software Developer Degree
January 11, 2030 - December 9, 2025
DeepLearning.AI TensorFlow Professional Certificate
January 11, 2030 - December 9, 2025

Industry Experience

Software & Internet, Professional Services