Search Ranking

- Headed the engineering development of 2 projects with a copilot/chatbot and job recommendations;- Optimization and design of code in projects to achieve real-time operation, scaling and distributed computing;- System design and setting up timelines for projects related to legal tech and job recommendations;

- Managed entire product with entertainment content;- Managed a team responsible for the development of Mobile App for iOS and Android, including QA and Design;- Developed monetization strategy for a mobile app via Ads while maintaining high retentionand engagement levels;

- Developed scalable & stable FastAPI Recommendation API that reduces latency by 3x and memory usage by 10x;- Built from the ground up an analytics system for AB experiments;- Researched and implemented state-of-the-art ML models for online recommendations;

- Improving search ranking algorithms via new features, new methodologies, new losses, etc.- Optimization data pipelines algorithms;- Making tools for ranking explanation using SHAP values;

- Deep Graph Embeddings for Link Prediction Task- Recommender systems using graph neural networks- Uncertainty estimation in Neural Network using Dropout- New method of measuring intrinsic dimension: GeoMLE

- Developing recommender systems using: Statistical analysis, Factorization machine (FM), Deep structured semantic model (DSSM)- Developing model for recommendation «related» items- Machine learning algorithms optimization

- Parameters estimation in MMSB model, its application in community detection- Classification problem with bio-medical data