I am a motivated AI engineer with strong product vision and foundations in system engineering and mathematical reasoning. I am passionate about applying my technical experience in LLMs, agents, and evaluation frameworks to contribute to the development of safe and beneficial AI technologies.

• 🏢 Currently at Sea of Data — building AI-powered career-orientation coach & multi-agent educational assistant
• 🛡️ Focusing on AI Safety, LLM alignment, and robust evaluation
• 🥇 ACM ICPC semi-finalist · ex-coach for informatics olympiads
• ☕ Fun fact: I drink more coffee than my GPU drinks watts

• Designed and implemented an AI-powered professional orientation coach
• Built real-time profession-profile generation via an autonomous multi-agent system
• Developing a multi-agent educational AI assistant and its evaluation framework

• 📉 Reduced RAG evaluation time −35% by implementing an LLM-as-a-Judge framework
• 🛡️ Improved B2C search quality with advanced retrieval and safety-aware RAG
• 🚢 Led design and deployment of production LLM assistants focused on robust interactions
• ✍️ Cut marketing-team push-notification design time −20% via LLM fine-tuning
• 🧑‍🤝‍🧑 Conducted interviews, ran reading groups, spoke at meetups

• ⚡ Reduced ad-algorithm CPU usage −0.5% with an adaptive weight-boosting model
• 🧪 Ran A/B tests and rolled linear models to production

• 🎯 AI Safety course — Monoid Center for Continuing Education (Apr 2026)
• 🏗️ System Design — Karpov Courses (Nov 2024)
• 🧠 VK Academy "MADE" — Machine Learning Engineering (2022–2023)
• 📐 PetrSU — MS Data Science (2021–2023)
• 💻 PetrSU — BS Computer Science (2017–2021)

• 📰 Tune in to RAGAS and customize RAGAS for yourself — Habr industry article, Aug 2024
• 📜 The delta-burrows method: author identification via statistical profiles — Proceedings of the 74th PetrSU scientific conference of students and young scientists, Apr 2022

🥇 Semi-finalist, ACM ICPC · coaching experience in informatics olympiads (2022–2023) · diplomas