Machine Learning Engineer focused on LLMs, AutoML, optimization, and recommender systems.
I build ML systems that combine strong engineering with solid mathematical foundations. Currently exploring multi-agent systems, efficient LLM training, automated machine learning pipelines, and modern recommendation models.
- Large Language Models and efficient training
- Mixture of Experts
- Signed Debate Graph Mixture-of-Experts
- Synthetic Data Generation
- Multi-agent systems for machine learning automation
- AutoML and end-to-end ML pipeline generation
- Optimization methods for large-scale ML
- Sequential recommendations and State Space Models
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SDG-MoE: Signed Debate Graph Mixture-of-Experts arXiv
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KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems arXiv · OpenReview
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AdLoCo: adaptive batching significantly improves communications efficiency and convergence for Large Language Models arXiv
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Exploring Applications of State Space Models and Advanced Training Techniques in Sequential Recommendations arXiv
