Kiana Ehsani
CEO And Co-Founder at Vercept
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolKiana Ehsani is CEO and co-founder of Vercept (currently in stealth) and a Seattle-based technology leader with 10 years of experience in embodied AI and robotics. She previously led the embodied AI and robotics team at the Allen Institute for AI, managing research-to-robotics transitions and product-grade systems. Kiana holds a PhD in Computer Science from the University of Washington focused on visual reasoning and embodied intelligence, and she has a track record of turning bold research into working systems. Beyond leadership, she contributes to robustness of the community stack—authored test and QA improvements for the widely used AI2-THOR visual AI platform—reflecting a hands-on focus on reliability. Her background includes research internships at Meta FAIR and Google’s Camera Machine Intelligence team, blending deep academic expertise with industry practice.
11 years of coding experience
9 years of employment as a software developer
Master's degree, Computer Science, Master's degree, 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 (15)
unity3d10
pytest10
python10
unity-3d10
testing10
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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