I've been in charge of the technical side of online mass-market products. It was an early stage of going to market, so we were actively researching markets to find the best strategy. The biggest challange was to build a process that allowed us to quickly adapt our products to market needs, while maintaining high availability and performance at scale.

• Designed scalable and stable system architecture that handled tens of millions of requests per day,
• Assembled and scaled technical team from 1 to 25 people,
• Set up dynamic process based on short iterations and quick delivery,
• Successfully launched 8 products in 6 European and Asian markets.

During our growth stage, we required a set of solutions to collect and process analytical data, so we could better adapt our products to user needs. Two challenges here were to collect hundreds of millions data points daily and process this data in real-time by both automated and human consumers. I was also in charge of grounding a team of data engineers and analysts to crunch the numbers and drive insights.

• Designed and implemented data collection and pipelining components,
• Built scalable data warehouse for real-time analytics,
• Assembled a team of data analysts and engineers, set up the process of continuous data quality improvement and insights delivery,
• At the end of the day, this analytical infrastructure yielded 10-fold increase in customer acquisition and retention.

I've taken on as a VP of engineering at the analytical product for online content platforms, in US and EU markets. The challenge was to design a system that could handle billions of data points daily since our customers typically had 10m+ readers a day. Furthermore, we provided a near-zero latency data delivery, which allowed our customers to make decisions in a matter of seconds based on actual figures of user engagement and interests.

• Designed and implemented data collection, processing, and presentation architecture,
• Assembled and trained a prominent team of technical experts, that scaled the system to process billions of data points per day,
• Led the team through security assessments to comply with GDPR,
• Delivered multiple customized analytical subproducts for enterprise customers, including the largest Eastern Europe marketplaces.

Since the beginning of full-scale invasion, I've focused on driving technical innovations in the military field. The main challenge was to bring modern technologies into military data collection and processing, including ML, to make huge amounts of incoming data drive insights within a short time window. Another challenge here was to set up local ML infrastructure; deploy and fine-tune local models to allow fast but accurate results during the inference stage.

• Designed, implemented, and integrated data processing solution that handles over 150 Billion records,
• Scaled the system to process Terabytes of daily streams autonomously based on local ML and linear algorithms,
• Provided secure multi-platform access for end-users, including researchers and analysts,
• Integrated tens of data feeds, mostly proprietary, for automatic data ingestion.

In 2023, I started working on a system aimed at securing the information field at the level of entire countries I've assembled a team of technical and data experts, set up the processes and delivered first results within half a year. The next challenge was to scale the system further which required not only data collection and processing, but also hardware automation and content analysis on the fly. The technology is heavily based on generative models, including language and multi-modal ones.

• Created content feed collection and analysis system, that processes 1m+ content items daily,
• Implemented automated hardware-based human behaviour emulation platform,
• Designed and developed a semantic-based analysis system for detecting information distortion,
• The system is on a service already, scaling beyond hundreds of millions of processed content items.