Ariuntuya Altanzaya
Co-Founder at Antispace
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAriuntuya Altanzaya is a San Francisco–based Co-Founder and ML engineer with five years of experience building production software and state-of-the-art computer vision models. She has blended startup leadership at Antispace and Absurd with hands-on ML work at Roboflow, where she contributed YOLOv8 integrations and SAM+YOLO pipelines to widely used notebooks. Her research background in language-conditioned imitation learning at NYU and data-driven urban research gives her a rare mix of rigorous academic methods and product-focused execution. Comfortable across Python, SQL, and model training workflows, she consistently moves models from experimentation to usable tooling. Colleagues describe her as a practical tinkerer who surfaces unexpected efficiencies—like automating model distillation and documentation fixes—to accelerate team impact.
5 years of coding experience
4 years of employment as a software developer
Bachelor's degree Data Science, Bachelor's degree Data Science at Drexel UniversityMaster of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at New York University
Mongolian, Chinese, Korean
Github Skills (7)
yolov810
user-manual10
computer-vision10
pytorch10
machine-learning10
deep-learning10
instance-segmentation10
Programming languages (5)
Github contributions (5)
roboflow/notebooks
Jun 2023 - Jan 2024
This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.
Role in this project:
ML Engineer
ML EngineerContributions:5 reviews, 3 PRs, 6 pushes in 7 months
Contributions summary:Ariuntuya's commits focus on updating and integrating YOLOv8 models within the Roboflow notebooks repository. Their contributions involve modifying notebooks to utilize YOLOv8 for instance segmentation and incorporating the Segment Anything Model (SAM) with YOLOv8. They also resolved conflicts and refined documentation related to training YOLOv8 models using AutoDistill. These modifications demonstrate the user's expertise in applying cutting-edge computer vision techniques.
kagglepythonimage-segmentationjupyter-notebookvideos
roboflow/lenny
Aug 2023 - Sep 2023
Lenny uses 500+ blog posts, 100+ docs pages, and Roboflow developer documentation to answer questions about computer vision and Roboflow.
Contributions:1 review, 3 PRs, 14 pushes in 18 days
roboflow
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