Hi, I’m Artyom ([ɐrˈtʲɵm], Артём) Karpov. I am currently conducting research on artificial intelligence (machine learning) safety, with the goal of reducing the risks associated with unaligned AI, particularly those related to the foundational challenges of large language models. I am open to new opportunities. My background is in software engineering and applied mathematics.
2022-2024: Completed three comprehensive ML engineering and AI safety programs: MATS in 2024 (presented at the symposium), ARENA in 2023, and MLSS in 2022, placing in the top 25-50%.
2023: ML/neuroscience project, “Inducing Brain Bias,” which was accepted at the NeurIPS 2024 Workshop. My role focused on ML engineering, specifically fine-tuning LLMs on human brain data.
2020-2022: Added a new payment method into a high-load application supporting thousands of requests per second and hundreds of thousands of registered users (ProWritingAid).
2013-2018: Built a real-time application from the ground up for handling emergency situations, prioritizing high reliability and robustness.
2018: Enhanced Regex performance in .NET Core by approximately 5x through implementing a multithreaded LRU cache, benefiting thousands of real-world high-load projects.