Minh Vo
AI Engineer at Assembled
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolMinh Vo is an AI engineer with 13 years of experience building production-grade ML and conversational systems, currently focused on scaling human operations from Cambridge, MA. He combines deep expertise in computer vision, NLP, and backend systems—contributing to notable open-source projects like FiftyOne (full-stack improvements to dataset tooling and table views) and originating core components of Cisco’s MindMeld conversational platform. Minh has worked across startups and research-driven teams (Snorkel, MindMeld, Box) and pairs hands-on engineering with product sense to ship robust AI features. He also founded a nonprofit, Nước Solutions, to support Southeast Asia’s climate adaptation, reflecting a rare blend of technical depth and civic commitment. Trained at MIT with continued AI studies at Stanford, Minh thrives at the intersection of applied research, developer tooling, and real-world impact.
13 years of coding experience
12 years of employment as a software developer
Bachelor of Science (BS) Mathematics and Computer Science, Bachelor of Science (BS) Mathematics and Computer Science at Massachusetts Institute of TechnologyNUS High School of Math and ScienceGraduate Program in AI Artificial Intelligence, Graduate Program in AI Artificial Intelligence at Stanford University
Vietnamese
Github Skills (28)
named-entity-extraction10
named-entity-recognition10
python10
data-science10
machine-learning10
entities10
data-structure10
natural-language-processing10
data-structures10
computer-vision10
nlp10
entity10
developer-tools9
documentation8
data-cleaning8
Programming languages (7)
Github contributions (5)
cisco/mindmeld
Dec 2016 - Nov 2020
An Open Source Conversational AI Platform for Deep-Domain Voice Interfaces and Chatbots.
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:69 reviews, 334 commits, 140 PRs in 3 years 11 months
Contributions summary:Minh's initial commit introduced the foundational code. Subsequent commits demonstrate the implementation of a gazetteer class, including methods for updating entity data and synonyms, which supports the core functionality of the conversational AI platform. The code changes suggest a focus on entity recognition and the underlying data structures used for processing natural language, aligning with core back-end and data science roles.
nlpchatbotsdeep-learningconversationalconversational-ai
voxel51/fiftyone
May 2024 - Apr 2025
Refine high-quality datasets and visual AI models
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:264 reviews, 102 PRs, 265 pushes in 11 months
Contributions summary:Minh made significant contributions to the FiftyOne project, demonstrating expertise in both front-end and back-end aspects. Their work included updating documentation snippets, modifying Python code, and adding tests. They also worked on adding support for summary fields and implementing a table view feature that includes a tooltip. These actions suggest contributions to the core functionalities.
pytorchpythonvisiondata-sciencedeep-learning
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