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Work experience

Fullstack Developer / ML Engineer

from 01.2026 to now (6 months)
Misia-AI, Дистанційно (IT)

Worked on the design and implementation of an AI-powered platform that integrates with internal company workflows through web portal, Slack, Microsoft Teams, and email, with a strong focus on LLM orchestration, backend architecture, and fullstack product delivery.

Designed and developed core platform functionality using Python, TypeScript, React, FastAPI, AWS, and PostgreSQL. Built and maintained integrations with Slack and Microsoft Teams, including slash commands, event processing, conversational flows, and asynchronous job handling. Implemented backend services and API flows for idea submission, AI-assisted structuring, validation, clarification, and lifecycle processing inside the platform.

Architected and supported cloud infrastructure on AWS, working with Lambda, API Gateway, SQS, SNS, SES, RDS Proxy, Bedrock, and Terraform. Contributed to event-driven and queue-based processing pipelines for handling chat interactions, background jobs, inbound email processing, and AI-generated responses. Designed secure integration patterns for external channels and internal platform APIs.

Worked extensively on LLM-driven workflows: prompt orchestration, idea enrichment, duplicate detection, summarization, extraction pipelines, and structured AI outputs. Designed flows where raw user input from Slack, Teams, or portal chat is transformed into structured business ideas with fields such as benefits, urgency, risks, and ownership. Improved system behavior around clarification logic, orchestration, and channel-specific UX.

Contributed to the platform’s knowledge ingestion pipeline, where uploaded documents are parsed, transformed into markdown, processed by LLMs, and converted into structured business entities such as prompts, solutions, policies, systems, and contacts. Worked on metadata design, extraction logic, approval workflows, and AI suitability rules for platform usage.

Implemented and refined AI usage analytics and reporting capabilities, including backend support for usage aggregation by tenant, department, user, model, and time period, as well as frontend dashboard integration. Worked on streaming chat UX, incremental rendering, and performance improvements for AI assistant interactions in the portal.

Tech stack included Python 3.11+, FastAPI, TypeScript, React, Mantine, AWS Bedrock, SQS, Lambda, RDS Proxy, PostgreSQL, Terraform, and private Python libraries for AI orchestration.

Key Results
Delivered production-ready AI workflow features, cross-channel integrations, document-to-knowledge pipelines, and analytics capabilities that helped transform the platform into a scalable AI assistant layer for enterprise collaboration and idea management.

React Developer, Fullstack Analytics Engineer

from 03.2023 to now (3 years 4 months)
Jet-Bet, Дистанційно (IT)

Developed and scaled a high-load online gaming platform, combining frontend engineering, business analytics, and machine learning solutions.

Frontend Development
Built a high-performance, fully responsive frontend application using React, TypeScript (strict mode), fp-ts, and Mantine. Integrated multiple third-party game providers through their APIs into a unified ecosystem, embedding game modules via iframe and ensuring a consistent user experience across the platform.

Implemented complex product features including live betting views, real-time group chat, user profiles, tipping, likes, achievements, carousels, and interactive game mechanics such as a “Wheel of Fortune”. Applied Feature-Sliced Design (FSD) architecture to improve scalability, maintainability, and readability of the codebase.

Designed and optimized advanced UI/UX flows with strong focus on performance. Introduced lazy loading, Suspense-based rendering, progressive image delivery (low-resolution WebP with blur placeholders), and other optimization techniques to reduce render cycles and improve loading speed. Supported internationalization with i18next for five languages. Improved SEO fundamentals through semantic HTML, meta tags, alt attributes, and monitoring of key web performance metrics such as CLS and FCP.

Analytics & Business Intelligence
Developed a custom admin panel and analytics domain for business monitoring and operational control. Combined data from PostgreSQL, product analytics, and tracking systems to build dashboards for key business metrics including LTV, Churn, GGR, NGR, CPA, and CAC.

Created dashboards and reporting flows using Power BI and custom frontend visualizations. Implemented user behavior tracking with Matomo, Google Analytics, and Prometheus, conducted funnel analysis, and structured A/B tests to support product and marketing decisions. Added moderation, support chat tools, and data verification workflows directly into the admin interface.

Machine Learning & Data Science
Designed and deployed recommendation and predictive models using LightGBM, scikit-learn, Spark, and FastAPI. Built solutions for personalized game recommendations, churn prediction, LTV estimation, and acquisition analytics, helping improve retention and business decision-making.

Key Results
Delivered a feature-rich online casino product from scratch, established a robust analytics infrastructure, and implemented ML-driven personalization systems that improved user engagement, retention, and visibility into business performance.

Fullstack Developer

from 02.2022 to 03.2023 (1 year 2 months)
Outsource, Дистанційно (IT)

Worked on multiple B2B and B2C projects in an outsourcing environment, delivering fullstack development, analytics, and product-oriented technical solutions for clients across different domains.

Designed, developed, and maintained web applications using modern frontend and backend technologies, including React, TypeScript, JavaScript, Python, SQL, REST APIs, and relational databases. Built user-facing interfaces, internal dashboards, integrations with third-party services, and backend business logic for client projects with different requirements and architectures.

Participated in the full product lifecycle: requirements clarification, feature implementation, bug fixing, refactoring, performance optimization, analytics instrumentation, and support of production systems. Worked closely with business stakeholders, designers, analysts, and cross-functional teams to translate business requirements into practical technical solutions.

Implemented data collection, reporting, and analytics workflows for business and product teams. Built dashboards, prepared reports, analyzed funnels and user behavior, and supported decision-making with actionable insights. Worked with B2B and B2C metrics, customer behavior analysis, retention-related indicators, and operational reporting.

Contributed to projects involving admin panels, CRM-like interfaces, internal tools, client portals, and customer-facing platforms. Focused on building scalable and maintainable solutions, improving usability, and aligning technical implementation with business goals.

Adapted quickly to different business domains, codebases, and client processes, balancing engineering quality with delivery speed in a multi-project outsourcing environment.

Key Results
Successfully delivered features across multiple client projects, improved reporting and visibility for business stakeholders, and provided reliable fullstack support in fast-changing product environments.

Administrator

from 05.2021 to 02.2022 (10 months)
NewLine, Дистанційно (Фінанси, банки, страхування)

Supervision of operators' work;
Had direct contact with clients to perform large operations;
Monitored the smooth operation of the product;

Team leader

from 01.2020 to 05.2021 (1 year 5 months)
XbiTrade, Запоріжжя (Телекомунікації, зв'язок)

Formed a team: searched for specialists for the team and conducted technical interviews;
Prepared weekly expense and income reports and documented the quality of work of each specialist in the team;
Negotiated with clients;
Estimated the budget;
Determined the scope of work and deadlines;
Participated in the professional development of team members;
Conducted working meetings and meetups;

Education

Запорізька політехніка

ФРЕТ, Кібербезпека, Запоріжжя
Higher, from 2015 to 2021 (6 years)

Здобув вищу освіту за напрямом: "Безпека інформаційних і комунікаційних систем". Маю червоний диплом. Під час навчання перебував у студентських організаціях, брав участь в олімпіадах із програмування та захисту інформації

Additional education and certificates

mlcourse.ai – Open Machine Learning Course

2022-2023, 4 місяці

Knowledge and skills

• Python
• Pandas
• NumPy
• Scikit-learn
• Spark
• CatBoost
• Docker
• MySQL
• MongoDB
• JavaScript
• React
• HTML
• CSS
• SASS
• Git
• Matplotlib
• ETL
• Postman
• Darts
• PostgreSQL
• MS Power BI
• React Redux
• MobX
• REST API
• GraphQL
• TypeScript
• Swagger
• Fp-ts
• Mantine
• I18next
• Jest
• Vite.js
• Axios
• Zod
• FSD
• GitHub Actions
• Chakra UI
• AWS
• AWS IAM
• FastAPI
• AI integration
• Redux
• Jira
• Grafana
• Next.js

Language proficiencies

• Ukrainian — fluent
• English — above average