Senior Backend Engineer with 7 years of experience architecting resilient distributed systems, scalable microservices, and cloud-native solutions across Healthcare, Enterprise SaaS, and FinTech/E-Commerce. Proficient in Node.js, TypeScript, and AWS, with a proven record of designing event-driven pipelines, securing sensitive data workflows, and optimizing high-concurrency databases for production reliability.
Major cloud-native architectural projects
Nodejs
TypeScript
JavaScript
AWS Cloud Services
Microservices Architecture
Distributed Systems
Event-Driven Architecture
PostgreSQL
DynamoDB
Docker
RESTful APIs
AWS SQS / SNS
MongoDB
Unit Testing
AWS Bedrock & Third-Party LLM Integrations
Google AI SDKs
GraphQL
Nestjs & Expressjs
AI-Assisted Development(Cursor, GitHub Copilot, Claude)
Architected and scaled distributed microservices for a high-compliance healthcare platform, utilizing Node.js, TypeScript, and Golang within an AWS Lambda serverless
ecosystem.
Designed fault-tolerant, event-driven data pipelines using Amazon DynamoDB and SNS/SQS to process high throughput health records, implementing Dead Letter Queues(DLQs) to guarantee zero data loss during traffic spikes.
Centralized data orchestration by configuring a unified GraphQL API layer on Amazon EC2, significantly reducing client-side query latency and improving system responsiveness under growing user loads.
Engineered backend API integrations utilizing AWS Bedrock and Google AI SDKs, evaluating foundation model capabilities and designing serverless endpoints for automated data processing workflows.
Engineered a centralized cloud resource management (FinOps) dashboard utilizing Node.js and PostgreSQL, enabling non-technical stakeholders to audit AWS infrastructure utilization.
Built and deployed robust server-side business logic on Amazon EC2 to execute complex resource tracking and aggregate region-based billing metrics, driving enhanced cloud cost visibility across environments.
Architected and maintained scalable RESTful APIs and distributed backend services from the ground up utilizing Node.js and TypeScript.
Optimized server-side performance and application latency through advanced database query tuning, caching strategies, and asynchronous processing using PostgreSQL and MongoDB (Mongoose).
Implemented secure authentication, authorization, and strict data protection controls across backend application layers to meet enterprise security standards.
Maintained backend server infrastructure, resolved critical production bugs to enhance system reliability, and collaborated on responsive UI integrations using modern JavaScript frameworks.
Implemented foundational backend development tasks, managed database operations, and supported feature integration.
Institutional B2B Leasing & Procurement Platform | Node.js, TypeScript, AWS, DynamoDB
Cloud Infrastructure & FinOps Monitoring Application | Node.js, AWS SDK, EC2, CloudWatch, PostgreSQL
Live Emotion & Video Analytics Platform | Node.js, Google APIs, REST