Kiana Ehsani
Member Of Technical Staff at Anthropic
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolKiana Ehsani is a PhD-trained AI researcher and builder with 11 years of experience translating embodied intelligence research into real products and startups. She co-founded Vercept to rethink human-AI interaction—an effort that was acquired by Anthropic, where she now continues that mission as a Member of Technical Staff. Prior to founding Vercept she led the robotics and embodied AI team at the Allen Institute for AI, contributing to platforms like AI2-THOR through rigorous test automation and QA work. Her background spans top research internships (Meta FAIR, Google) and deep technical expertise in visual reasoning, camera and manipulation systems. Based in Seattle, she blends academic rigor with startup grit and a knack for shipping reliable, real-world AI systems. An often-overlooked strength is her hands-on focus on testability and platform reliability, ensuring research transitions smoothly to production.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of WashingtonBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Sharif University of Technology
Persian, English
Stackoverflow
49reputation
5kreached
1answer
6questions
Github Skills (14)
testing10
pytest10
python10
unity3d10
computer-vision9
artificial-intelligence8
interaction7
java6
kernel6
assertion6
eclipse6
hibernate6
jar6
freebsd6
Programming languages (6)
Github contributions (5)
allenai/ai2thor
Aug 2020 - Aug 2022
An open-source platform for Visual AI.
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:16 reviews, 69 commits, 6 PRs in 1 year 11 months
Contributions summary:Kiana's commits primarily focus on adding and modifying tests for the AI2-THOR platform. The changes include implementing new test cases, modifying existing ones, and refactoring test code within `ai2thor/tests/test_unity.py`. They address testing aspects such as camera behavior, arm manipulation, and object visibility. These contributions ensure the platform's functionality and reliability.
physics-engineinteractioncomputer-visionvisual-aiartificial-intelligence
ehsanik/touchTorch
Apr 2020 - Nov 2021
Use the Force Luke! Learning to Predict Physical Forces by Simulating Effects [CVPR2020] (https://arxiv.org/pdf/2003.12045.pdf)
Contributions:3 commits, 5 pushes, 3 branches in 1 year 7 months
arxivlukepdfphysicalpredict
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