• Set up a scalable monorepo using Turborepo, with shared environment variables, styles, UI components, and development tools like ESLint and Prettier for unified configuration.
• Built a full-stack web app with Next.js 14+ as frontend and Node.js with Express.js as backend server with GraphQL API.
• Used PostgreSQL as main database with Prisma, S3 for static files alongside Redis for efficient data caching and iIncreased the database throughput by using separate read replica.
• Implemented rate limiting with redis, to control network requests and to avoid DDoS attack.
• Implemented Stripe Connect for marketplace payments with automated commission deductions per transaction.
• Deployed on AWS using Lambda-based serverless infrastructure to ensure scalability, cost-efficiency, and minimal operational overhead.

• Architected a scalable microservices system using a one-database-per-service design for strong service isolation and maintainability.
• Developed a centralized authentication service using HTTP-only cookies for session management across services.
• Applied polyglot persistence, leveraging PostgreSQL and MongoDB based on specific service requirements.
• Integrated NATS Streaming as a cloud-native event bus for reliable, asynchronous inter-service communication.
• Created Kubernetes CronJobs to automatically clean up expired posts, optimizing database and resource usage.
• Designed and deployed multi-stage Docker containers for lean production builds and pushed them to Google Kubernetes Engine (GKE), Google Cloud Build, Google Cloud Storage, etc.
• Automated the CI/CD pipeline using GitHub Actions to streamline testing, building, and deployment workflows.

• Developed an AI-driven workflow to accurately extract key information from PDF resumes and job descriptions, leveraging advanced prompt engineering and OpenAI’s structured output capabilities.
• Integrated a LangGraph-powered agentic AI workflow with the Gmail tool to autonomously evaluate resumes, rank them based on job relevance using a custom scoring system, and automate personalized acceptance or rejection emails, streamlining end-to-end candidate communication.
• Deployed applications using a multi-container Docker architecture with Nginx as a reverse proxy.

• An AI-powered email automation system that acts as an intelligent AI agent to fetch, filter, summarize, and generate responses to emails using advanced language models. It integrates with both IMAP and SMTP servers and utilizes a state-graph workflow to manage and streamline the end-to-end email processing intelligently.