At Semrush (Adobe), I built an AI Optimization solution from day zero and helped scale it to approximately 1,000 enterprise customers. I also developed configurable data tools and interactive analytics for SEO and marketing datasets.
I turned repeated custom dashboard requests into a self-service workflow, so trained users could prepare data without a separate frontend and backend delivery cycle. For large analytical tables, I added column visibility, filtering, sorting, and lazy row refresh.
I proposed a modular architecture for a large monorepository and implemented a microfrontend delivery flow using Module Federation and remoteEntry. I also improved FCP and LCP through Webpack tuning, code splitting, caching, asynchronous imports, and parallel API requests.
Across workflow automation, FinTech, business operations, and SaaS products, I’ve built data-intensive React interfaces, integrated APIs and WebSockets, and contributed to architecture and code reviews. At Semrush (Adobe), I also mentor engineers and interview senior frontend candidates.
