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Vahram TadevosianVT
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Vahram Tadevosian

@vahramtadevosian

I build production diffusion-based image and video generation systems for global brands and creative products.

Spain
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At Superside, I lead AI pipelines for image and video product photography that replace traditional photoshoots for brands including GAP, Dick’s Sporting Goods, and EssilorLuxottica.

I design brand-aware workflows that combine diffusion-based visual generation APIs, personalization, LLM prompting, and QA. I also drove the GenAI automation strategy for an EssilorLuxottica engagement worth approximately $1.5M.

Previously at Picsart, I led R&D for controllable diffusion-based image and video generation, taking models through training, fine-tuning, evaluation, and deployment. My research has appeared at CVPR, ICCV, and WACV, alongside open-source HuggingFace releases.

I also teach Artificial Intelligence, Decision Support, and Generative AI at the American University of Armenia. I bring a research-grounded approach to building reproducible, production-ready ML systems.

Experience

Work history, roles, and key accomplishments

American University of Armenia logoAA

Adjunct Lecturer

American University of Armenia

Aug 2024 - May 2026 (1 year 9 months)

Teaching Artificial Intelligence & Decision Support and Generative Artificial Intelligence courses, covering search, knowledge representation, planning, robotics, language/image modeling, and large language and diffusion models.

Education

Degrees, certifications, and relevant coursework

Yerevan State University logoYU

Yerevan State University

Master of Science, Applied Statistics & Data Science

2021 - 2023

Grade: 19.7/20.0

M.Sc. in Applied Statistics & Data Science with a thesis on diffusion-based controllable image animation. Graduated top of class with a GPA of 19.7/20.0.

American University of Armenia logoAA

American University of Armenia

Bachelor of Science, Computer Science

2015 - 2021

Grade: 3.98/4.0

B.Sc. in Computer Science with a strong foundation in algorithms, machine learning, and classical AI. Graduated top of class with a GPA of 3.98/4.0.

Tech stack

Software and tools used professionally

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