My experience in customer service and sales allows me to view the products I create from different perspectives. I am a user advocate and I know how to understand and defend user needs, while implementing solutions that also provide value to the business.
2024 — 2026
AdTech Network (NDA)
Revived the RTB business and rebuilt internal workflows: fixed revenue leaks, improved auctions and anti-fraud, strengthened partner operations, and delivered low-cost tools for teams.
2023 — 2024
Golden Goose (mVAS AdTech)
Built a self-service advertising platform for advertisers, moving partner onboarding, verification, and offer publishing from manual sales workflows to automated tools.
2021 — 2022
Monopoly.Online (FreightTech)
Built a TMS for small freight carriers, turning manual logistics workflows into simple self-service tools for shipment, route, document, and order management.
2018 — 2020
Propeller Ads (AdTech Holding)
My first product role, where I gradually grew from working with a small RTB team to launching new products and managing several advertising platforms at the same time.
2015 — 2018
Avito (Classified)
My background in sales and team leadership quickly led me from handling complaints, fraud cases, and complex customer issues to building a new product support team from scratch and leading it further.
2012 — 2015
YOTA (Mobile Network & Sales)
Progressed from Junior Sales Consultant to Team Lead, managing several retail locations, each with 3–5 assigned employees and 15–20 retail partners, such as mobile phone stores.
Smart companion that turns users’ messy goals into daily actions, adapts progress, and keeps them moving.
Small app lab for mini-apps, casual games, and weird digital experiments built fast with AI-assisted development.
Self-service alert tuning simulator that helps teams backtest event alerts, reduce noise, and detect real partner issues faster.
The company works across adtech and mobile apps: RTB-driven ad networks on one side, and VPN apps, utilities, and productivity mini apps on the other.
My first task was to revive the RTB business: from improving communication with existing partners and bringing in new ones to fixing auctions, anti-fraud, and the product itself from both technical and product sides.
The second task was to take over internal processes and tools, remove unnecessary work, and help teams become more productive under a limited budget.
Built a self-service advertising platform for advertisers from scratch, with the goal of moving most partners to self-service while keeping only the largest accounts under manual management.
Also introduced new back-office tools to improve the work of account managers and other teams working with, or depending on, the sales team and its clients.
Monopoly is a service for organizing freight transportation that connects cargo owners with carriers, similar to taxi aggregators.
Analogues: Uber Freight (USA), Convoy (USA), Sennder (EU)
I looked into e-docs management and decided that the most important thing was to grow the platform’s user base, get users to use it regularly, and involve carriers in using online tools to manage their orders on their own.
After that, e-docs management was planned as a feature in the TMS.
My first product role, where I gradually grew from working with a small RTB team to launching new products and managing several advertising platforms at the same time.
My background in sales and team leadership quickly led me from handling complaints, fraud cases, and complex customer issues to building a new product support team from scratch and leading it further.
Working closely with both product support and product development led me to seek a new role focused on building and improving products, not just supporting them after launch.
Progressed from Junior Sales Consultant to Team Lead, managing several retail locations, each with 3–5 assigned employees and 15–20 retail partners, such as mobile phone stores.
Follow is a mobile app that turns vague personal goals into structured plans, daily actions, and visible progress. It analyzes goals, breaks them into realistic steps, helps plan the work, and adapts recommendations to the user’s pace, capacity, and workload across active goals. The main value is reducing planning routine and the uncertainty of what to do next.
I built Follow as a solo product to get full-cycle experience in mobile apps, product launch, positioning, marketing, and technical decision-making. It also became a practical experiment in using AI as a productivity multiplier across product, design, development, operations, and documentation.
Moved from concept validation and several failed prototypes to MVP and version 1.0. The current product includes onboarding, goal creation, AI-based goal analysis, planning logic, adaptive recommendations, progress tracking, and an admin layer. Version 1.0 is prepared for App Store moderation.
Built solo with React Native, Expo, FastAPI, PostgreSQL, SQLAlchemy, and JWT auth. AI is integrated into goal analysis, planning, strategy generation, step maintenance, and daily recommendations. Neural networks were used across research, prototyping, UX, copy, architecture, coding, debugging, DevOps, and documentation.
A small app lab for mini-apps, casual games, and weird digital experiments. Simple ideas, fast launches, cheap tests, and products small enough to ship without a committee.
I use it to learn game mechanics, mobile publishing, monetization, and product areas I had not touched deeply before. Also: to test how far one person can go with AI tools, vibe coding, and enough stubbornness.
A pipeline of lightweight consumer experiments: mini-games, utility apps, and small entertainment products. Some are for learning, some are for testing mechanics, and some are attempts to make extra money.
Solo mode: idea, product, UX, code, copy, ops, and launch. Small scope, fast builds, AI-assisted development, and no overbuilt nonsense.
An alert tuning simulator for event-based monitoring across partners, clients, and integrations. It helps teams test alert rules on historical data instead of relying on one-size-fits-all thresholds for clicks, purchases, ad views, conversions, and other events.
I built it to solve a common monitoring problem: generic alerts either miss real incidents or create too much noise. The tool lets managers calibrate alert rules themselves without constant analyst support or manual dashboard digging.
Reduced alert noise, lowered analyst dependency, and improved detection of revenue-impacting incidents. The simulator is used by several companies I worked with as a freelancer to tune partner-specific monitoring and avoid alert fatigue.
The simulator replays historical event data and shows which alerts would have triggered under selected rules. Users can adjust thresholds, event types, time windows, comparison periods, averages, medians, anomaly exclusions, and partner-specific settings before applying rules to live monitoring.