Feb 2023 – Jul 2024 · 1 yr 5 mos · United Arab Emirates

• Spearheaded the development of AI & LLMs applications at YourLab.ai, specializing in GraphRAG, chat bots, and inference optimization.
• Implemented end-to-end LLM deployment strategies, ensuring seamless integration and functionality for clients.
• Collaborated with cross-functional teams to fine-tune AI models, resulting in highly accurate recommendations for businesses.

Feb 2022 – Feb 2023 · 1 yr

• Established a data science department and crafted streamlined processes, resulting in enhanced team efficiency and superior work output.
• Conceived and executed the design of a trading bot utilizing a combination of machine learning techniques and a vast array of internal and
• external data sources.
• Led and managed teams of Machine Learning Engineers, Data Scientists, and Quantitative Researchers, fostering a collaborative and productive work environment and ensuring the success of the project.

Feb 2021 – Feb 2022 · 1 yr

• Developed a service for constructing intricate sequences to efficiently complete interdependent tasks.
• Developed a predictive model for customer churn and implemented personalized email system, resulting in a reduction of customer churn.

Nov 2019 – Feb 2021 · 1 yr 3 mos · Moscow, Moscow City, Russia

• Constructed a deep learning model utilizing PyTorch to accurately predict bacterial properties through analysis of proteome and genotype with
• a 93% accuracy rate.
• Utilizing transformer-based models, devised a system for classifying protein properties through analysis of amino acid sequence.
• Guided the development team, selected appropriate technologies, and performed team performance evaluations.

Apr 2019 – Nov 2019 · 7 mos · Moscow, Moscow City, Russia

• Developed and designed a Look-Alike modeling service from the ground up. Optimized model inference and new architecture resulted in a
• 400% increase in throughput, which led to an increase in new users for the company.
• Designed and implemented a BigData ETL process utilizing PySpark and AirFlow.
• Created attribution models for user behavior analysis using Markov chains.

Sep 2018 – Apr 2019 · 7 mos · Moscow, Moscow City, Russia

• Built a BigData ETL process using PySpark and AirFlow.
• Developed attribution models of user behavior based on Markov chains.

Apr 2018 – Sep 2018 · 5 mos · Singapore

• Created a predictive model for the Southeast Asian arbitrage market, which improved the efficiency of identifying trade opportunities.
• Analyzed trade relationships across various industries, discovered data anomalies, and conducted geo-analytics to gain insights into market
• trends.
• Designed and implemented a Named Entity Recognition (NER) model for processing textual descriptions of declarations and industries, result-
• ing in a 200% improvement in the speed of identifying goods.

Aug 2017 – Apr 2018 · 8 mos · Moscow, Moscow City, Russia

• Designed and developed software, including embedded software, for devices integrated into automated electricity metering systems.
• Created a C++ library to optimize and automate unit testing for improved software reliability.