Experience

Developed and optimized automation bots, architected event-driven workflows consuming GraphQL APIs, integrated Python microservices to reconcile data across MongoDB and PostgreSQL, and implemented CI/CD pipelines with GitHub Actions.

• Developed and optimized automation bots using Node.js and Playwright, eliminating 100% of manual web data collection effort.
• Architected event-driven workflows consuming GraphQL APIs to trigger core business processes in real-time.
• Integrated Python microservices and DAGs to reconcile data between MongoDB and PostgreSQL, ensuring full system consistency.
• Implemented CI/CD pipelines with GitHub Actions for code validation and continuous deployment, structuring Pull Request workflows with mandatory reviews and quality control.
• Leveraged GitHub Copilot as a productivity tool for development and code review processes.

Led the migration of an EJS-based monolith to a cloud-ready architecture using NestJS and React with Docker containerization, built SQL-based dashboards with real-time product metrics, and designed REST APIs including recurring billing and critical event monitoring.

• Led the migration of an EJS based monolith to a cloud-ready architecture using NestJS and React with Docker containerization, streamlining deployment and increasing horizontal scalability.
• Structured SQL based analytical dashboards with real time product metrics, enabling data-driven financial insights and improved decision making.
• Designed and optimized REST APIs and a subscription management system with recurring billing, including real-time monitoring of critical events.
• Implemented CI/CD pipelines with automated testing (Jest), increasing release reliability and reducing deployment time.
• Operated in a fast-paced startup environment using Agile/Scrum methodologies, promoting continuous delivery and rapid adaptation to product evolution.

Developed a financial risk analysis platform using Node.js, Fastify, and TypeScript with React dashboards, automated data collection and integrations with financial APIs, built scalable APIs with MongoDB, and structured cloud-native infrastructure on Azure with Docker and AKS.

• Developed a financial risk analysis platform for receivables purchasing using Node.js, Fastify, and TypeScript, with React dashboards for real-time critical metrics visualization.
• Reduced manual data collection effort by 60% through the implementation of event-driven automations and integrations with external financial APIs for risk calculation.
• Engineered and implemented scalable APIs integrated with MongoDB, ensuring high performance and consistency in processing high volumes of customer data.
• Structured cloud-native infrastructure on Azure, utilizing Docker for containerization and AKS (Azure Kubernetes Service) for orchestration, ensuring horizontal scalability and high availability.
• Optimized external data ingestion following modern architecture principles, significantly increasing the operational agility of risk analysts.