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Vincent Huynh

@vincenthuynh

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Math & Computer Science student and software engineer building reliable ML-backed web applications.

United States

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What I'm looking for

I seek hands-on roles building ML-backed web applications or computer vision systems, with collaborative teams, code quality, and opportunities to scale models into production.

I am a Bachelor of Science candidate in Math and Computer Science at UC San Diego, focused on practical applications of machine learning, computer vision, and web engineering.

In recent internships I built and optimized a Retrieval-Augmented Generation pipeline, reduced latency and startup times, and increased answer grounding and reliability through improved retrieval and post-processing.

I reimplemented camera calibration tooling and created interactive 3D visualizations for multi-camera pose estimation, refactoring large code blocks into maintainable, object-oriented modules.

I also developed data-driven products and front-ends using Flask, React/Next.js, MongoDB, and PyTorch, collaborating via Git in cross-functional teams to deliver production-ready features.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer Intern

Current

iVector

Aug 2025 - Present (10 months)

Developed and optimized a Retrieval-Augmented Generation (RAG) application using LangChain and HuggingFace, cutting startup time from 25s to 15s and response latency from 23s to 8s while reducing irrelevant outputs by 70%.

Lang Chain Python RAG Caching Optimization Debugging

Research Assistant

Salk Institute for Biological Studies

Feb 2025 - Jul 2025 (5 months)

Researched multi-animal 3D pose estimation and reimplemented camera calibration with OpenCV, removing external dependencies and building a 3D Plotly visualization for up to 18 cameras to improve interpretability.

OpenCV Python 3D Visualization Plotly Object Oriented Programming Git

Data Scientist Intern

E-Com Fashion

Jun 2024 - Aug 2024 (2 months)

Streamlined data wrangling and performed audience analysis on Pinterest campaign data, identifying key interests and demographics that shifted marketing focus toward a younger audience.

Python Google Colab Data Wrangling Matplotlib SeaBorn Statistical Analysis Reporting

Software Team Member

Triton Unmanned Aerial Systems

Oct 2022 - Apr 2023 (6 months)

Contributed to a computer vision system for detecting and classifying ground targets, implementing segmentation and deep learning models tested on 20+ targets to improve detection accuracy.

Python PyTorch Computer Vision Segmentation Jupyter Model Evaluation Deep Learning

Education

Degrees, certifications, and relevant coursework

University of California San Diego

Bachelor of Science, Math and Computer Science

Pursuing a Bachelor of Science in Mathematics and Computer Science with graduation in June 2025; coursework and projects focused on software engineering, machine learning, and data analysis.