- Spearheaded the implementation of data-driven strategies that empowered 4x revenue growth through scalable and efficient delivery solutions, amplifying operational efficiency and market impact.- Developed effective hiring, development, and retention processes, driving a 3x expansion of the engineering team to 60 members and enhancing technical capabilities.- Leveraged technical expertise in pre-sales efforts, contributing to successful project sales totaling over 500M rubles (€6M).- Assembled and managed a 7-person team to create an MLOps solution (Rubbles DSW, like coder.com), cutting hardware costs by 30% and improving model time-to-market by 10%.- Drove the creation of an internal data platform, lowering hardware costs by 25%, strengthening data security, and establishing a technological foundation for all company projects, with over 1Pb of data stored and processed.- Streamlined and optimized team delivery workflows, resulting in a 20% improvement in solution time-to-market.- Played a central role in data-driven presentations and interactions with potential investors, contributing to securing over 700M rubles (€8M) in investments.- Presented at major ML/AI conferences, highlighting advancements and reinforcing the company’s position as a leading technology innovator in the market, which resulted in attracting 6 new clients.- Designed a data strategy for ML products in demand forecasting, promo, and logistics optimization, resulting in a solution sold to major FMCG and retail clients, generating 600M rubles (€7M) in revenue.

- Developed structured methodologies for data science teams, introducing systematic approaches to refine product hypotheses, align business and data science metrics, and assess process maturity, boosting data product time-to-market by up to 50%.- Led the development of a Data Science Project Management course (https://scrumtrek.online/leands), enabling professionals to excel in managing data-driven projects and drive organizational success.- Conducted comprehensive workshops on effective data management strategies for over 20 client teams at top firms, providing tools essential for data-driven decision-making supported by strong analytical practices.- Co-founded LeanDS University and trained over 500 professionals in managing data teams and creating impactful data products, fostering a community of skilled data practitioners.

- Recruited, guided, and structured a team of 4 skilled ML Engineers, enabling rapid development of a predictive monitoring system.- Built real-time data pipelines that process over 1M metrics and 100GB of metric data daily for the largest banking system in the country and the 3rd largest globally.- Introduced an incident detection system that reduced response time by an average of 5 minutes.- Launched a predictive incident detection system for software applications, accelerating response time to incidents in the bank’s critical systems by 1 minute.

- Conducted an in-depth analysis of the credit market in the country, leading to the decision to develop an ML product for credit offerings, which served 20,000 user per month.- Implemented 7 ML models for lead generation in the credit market utilizing credit bureau data, resulting in a 0.5% increase in conversion to purchase.- Created a recommendation system for credit products that boosted the average transaction value by 1%.

- Built an ML model to improve bank scoring models based on a person’s group membership in social networks, reducing loan delinquencies by 4%.- Rewrote the major product’s feature generation and prediction pipeline to enable online production mode, improving stability and increasing processing speed by 30%.

- Co-founded the startup as the CTO, designing and implementing the core platform from the ground up, completing a prototype in 3 months that secured the first sales.- Achieved first place in the 2017 Eurasia Mobile Challenge (out of 1,000+ teams, Erevan), winning a $20,000 prize. - Advanced to the finals of the 4YFN competition (Barcelona), competing among 50+ international teams.- Secured a spot in the IIDF startup accelerator by passing a competitive selection process and received ~$40k in pre-seed funding.- Generated over $50K in revenue by selling the product to diverse clients, including small technical events and large nationwide music festivals.

- Spearheaded the release of a critical Artec Studio version, overseeing a team of 20 and optimizing processes with objectives-based management, code reviews, autotesting, and CI. This landmark release drove a 20% increase in subscriptions.- Designed and implemented the world’s largest distributed, fault-tolerant cloud system for full-body 3D scans, utilizing a high volume of GPUs for processing and storing scans of over 30,000 individuals.

- Joined as the first engineer to accelerate new product development by building an initial prototype, enabling rapid prototyping and product pivots.- Led a 7-person team (iOS, Android, RoR), creating core service code to enable the team’s focus on client applications, which resulted in a fast launch.

- Initiated and led development of Kontur Expert, a financial analysis product used by 70K business clients. - Managed 10+ cross-functional team, implementing code review, autotesting, CI, TDD, and refactoring processes to boost development speed, enhance code quality, and reduce defects for a product.- Created new document workflows that opened a new market valued at 1B rubles (€100M).