Albert Nahapetyan

Migrated legacy client-side applications to a scalable Next.js + TypeScript architecture using SSR and Incremental Static Regeneration (ISR), improving Core Web Vitals, SEO, and initial load times. Built secure high-throughput microservices using Node.js with Nest.js and Express.js. Implemented optimized database schemas, indexing, and connection pooling for PostgreSQL and MongoDB Atlas, using Redis for distributed caching to reduce query latency and server response time. Established automated testing with Jest and Mocha, increasing coverage to over 85% and reducing production regressions. Integrated RabbitMQ for asynchronous/background jobs and improved platform uptime to 99.9%. Built robust CI/CD pipelines with GitHub Actions and Bitbucket Pipelines, and containerized dev/prod environments using Docker to reduce deployment cycle time by 50%. Integrated third-party services including Stripe API, OpenAI API, and Firebase Authentication for secure onboarding.

Refactored large monolithic JavaScript codebases into modular, highly reusable JavaScript and React.js components with code-splitting and lazy-loading to reduce JavaScript bundle sizes and decrease initial interaction delays (FID). Standardized data fetching layers using Axios and native Fetch, handling error states gracefully and caching server state via Redux to reduce unnecessary network overhead by 15%. Built maintainable, theme-able UI layouts using Sass/SCSS. Integrated and customized location-based services and interactive mapping solutions using Google Maps API, resolving historical mobile rendering bugs and achieving a 98% user satisfaction rate for location features. Worked closely with senior engineers and product owners via Jira and Slack to track features, debug production issues, and manage version control branching strategies across Bitbucket, accelerating delivery of critical product MVPs.

Refactored large monolithic codebases into modular, reusable JavaScript and React components using code-splitting and lazy-loading to reduce bundle size and improve interaction delays (FID). Standardized data fetching layers across applications with Axios and the native Fetch API, handling error states gracefully and caching server state via Redux to reduce unnecessary network overhead by 15%. Integrated and customized location-based services and interactive mapping solutions using Google Maps API, resolving rendering bugs and achieving a 98% user satisfaction rate for location features. Coordinated with product owners and senior engineers using Jira and Slack for feature tracking, production issue debugging, and branching/version control strategies via Bitbucket to accelerate delivery of critical MVPs.