🤔Daniil Kalugin

A market-leading Fintech platform serving 100M+ monthly active users with high-frequency data and real-time charting tools - Developed and launched the Multi-conditions feature using TypeScript and Redux Toolkit, achieving 10% adoption by active paying alert users by Q4. - Led Alert Dialog Simplification by architecting a modular UI system using React and Shadcn UI, resulting in an 8% increase in user adoption. - Architected an independent deployment strategy using Webpack Module Federation and Jenkins CI/CD, reducing cross-team dependencies and accelerating delivery cycles. - Engineered a scalable screen management architecture using TypeScript; utilized Claude Code for rapid prototyping and refactoring of legacy systems, ensuring consistent state management and high code extensibility. - Decoupled widget state management via Context API and modularized styles with PostCSS, eliminating prop-drilling and improving maintainability across the frontend - Boosted test coverage from 74% to 86% by integrating Cursor-driven workflows with Jest and React Testing Library, significantly reducing manual QA cycles. Stack: React, TypeScript, Redux Toolkit, Redux Query, Context API, Shadcn UI, PostCSS, i18next WebSocket API, Push API, REST API, Broadcast Channel API, Jest, Testing Library, Webpack, Jenkins, GitLab, Docker, Claude Code, Cursor

Global conversational AI leader processing 1B+ monthly customer interactions with LLM-powered chatbots and real-time messaging for enterprise contact centers. - Architected a real-time "Human-in-the-Loop" workspace using React and WebSockets, allowing human agents to monitor and intervene in AI chatbot conversations with zero latency. - Collaborated with the AI/Backend team to build a real-time Meaningful Conversation Score visualization tool, allowing supervisors to monitor customer sentiment and intervene in high-risk conversations - Implemented SSR via Next.js to inject real-time customer intent data into chat entry points using the Fetch API, resulting in a 12% increase in lead conversion rates - Optimized the real-time message rendering engine for the Agent Workspace, reducing Latency-to-Interactive by 200ms and improving the Core Web Vitals (LCP) for agents managing 10+ concurrent high-velocity chat sessions - Led the migration of the consumer-facing Help Center to Next.js, utilizing Incremental Static Regeneration (ISR) to support 5,000+ dynamic articles with sub-second load times. - Established React TypeScript component library with 120+ reusable components and 99% test coverage, accelerating feature delivery by 20% across 5 product teams. Stack: React, TypeScript, Next.js, SSR, Zustand, React Query SCSS, CSS Modules, WebSocket API, Broadcast Channel API, Fetch API, Axios, REST API, Swagger React Hook Form, Vite, Webpack, GitLab, Docker

Industry-standard mathematical solver powering global Logistics and supply chain networks; optimizes massive-scale resource allocation and scheduling for 80% of the Fortune 100. - Engineered a high-performance monitoring dashboard using GraphQL subscriptions to visualize real-time gap convergence, allowing users to track complex solver progress across hundreds of nodes with minimal latency. - Implemented efficient data fetching with MobX Query, reducing API calls and improving page load by 3%, enabling sales teams to access customer data faster and close deals more efficiently. - Developed comprehensive unit tests for order management logic using Jest, increasing test coverage by 7.4% over 4 months, which reduced production bugs. - Built a UI component library with Storybook, standardizing the design system across the CRM and reducing development time, enabling the team to deliver the project 3 weeks ahead of schedule. - Migrated the project to Vite to modernize the build process, accelerating development environment setup and reducing build times by ~6%. Stack: React, TypeScript, MobX, MobX Query, Tailwind CSS, Styled Components, Node.js, NestJS, Express.js, PostgreSQL Axios, Formik Vitest, Jest, Vite, Storybook, GitHub Actions, Docker