Aleksandr Timashov

Currently:
After impactful years at Meta and Petronas, I’m now focused on self-directed innovation, supporting Stanford’s Professional Program in AI, and sharing insights through technical blogs, conferences, and open-source projects.
I actively prototype ideas in vision-language models, diffusion models, and efficient deep learning — aiming to contribute both practical tools and research-driven insights. My broader goal is to apply AI research to build scalable, ethical, and high-impact systems.

Earlier:
Over the past decade, I’ve delivered real-world AI impact at global scale.
At Meta, I built AI models to detect malicious Chrome extensions and enforce ad policy compliance, protecting over 2 billion users across Meta platforms.
At Petronas, I founded the company’s first Computer Vision team, deploying AI for industrial inspections and surveillance automation, reducing costs by millions of dollars annually and caling across multiple of plants.

Education:
I hold a Graduate Certificate in Artificial Intelligence from Stanford University, where I completed MS/PhD-level courses.
Previously, I earned a B.Sc. in Mathematics from Indiana University with a GPA of 3.96 and was named to the Chancellor’s List.
In high school, I achieved top rankings in Russian math olympiads, earning multiple awards at the regional and the federal levels.

Open to research collaborations, advising startups, or pushing ideas into prototypes.