Vikram Voleti
Research Scientist at Stability AI
Kitchener, Ontario, Canada
Summary
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Rockstar🎓
Top SchoolVikram Voleti is an AI research scientist with nine years of experience building generative models for images, video, 3D and 4D content, currently driving foundational multimodal research at Stability AI. He holds a PhD from Mila/Université de Montréal and has applied his deep-learning expertise across industry internships at Meta, Unity and Google, focusing on text-to-3D, NeRF, diffusion models and fast 3D texturization. Vikram contributed significant engineering work to the threestudio unified 3D content generation framework, improving Zero123 guidance and adding progressive view and batch features that expand the system’s practical capabilities. Beyond core research, he advises startups in applied AI for environmental monitoring and has a track record of translating academic ideas into production-ready pipelines and demos. His profile blends rigorous theoretical grounding with hands-on system engineering—from avionics and embedded vision early in his career to state-of-the-art neural graphics today. Colleagues describe him as a mentor-minded technologist who pairs mathematical creativity with pragmatic implementation.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Université de MontréalHigher Secondary Math Physics Chemistry French English, Higher Secondary Math Physics Chemistry French English at FIITJEE Junior College, HyderabadB.Tech. (H) + M.Tech. (Dual Degree) Electrical Engineering, B.Tech. (H) + M.Tech. (Dual Degree) Electrical Engineering at Indian Institute of Technology, Kharagpur
English, Hindi, Telugu, French
Stackoverflow
1reputation
0reached
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Github Skills (10)
pytorch10
machine-learning10
stable-diffusion10
python10
web-framework9
deep-learning9
computer-vision9
modeling8
model-optimization8
trainings8
Programming languages (6)
Github contributions (5)
threestudio-project/threestudio
May 2023 - Dec 2023
A unified framework for 3D content generation.
Role in this project:
ML Engineer
ML EngineerContributions:39 reviews, 32 PRs, 144 pushes in 6 months
Contributions summary:Vikram primarily contributed to the development and improvement of the Zero123 guidance within the 3D content generation framework. Their work included fixing issues related to saving noise levels during guidance evaluation, modifying and fixing the guidance evaluation process, and implementing and refining features such as progressive views and batch size adjustments. Furthermore, the user added and integrated new guidance models, demonstrating a focus on expanding the capabilities of the system.
voletiv/zero-shot-learning-experiments
Sep 2017 - Nov 2017
Contributions:88 commits, 56 pushes, 1 branch in 1 month
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