🚀 Software Engineer | Cloud-Native Enthusiast | Full-Stack Developer
I'm passionate about building scalable, high-performance applications and optimizing cloud-native solutions. Currently seeking new opportunities in software engineering and product development.

• Languages: TypeScript, JavaScript, Python, C#, HTML, CSS
• Backend: Node.js, ASP.NET, Django, GraphQL (Apollo Server), Serverless
• Frontend: React, Redux, Material UI, React Router
• Cloud & DevOps: AWS (Lambda, S3, DynamoDB, API Gateway, SQS, OpenSearch), CI/CD (CircleCI, AWS CloudFront, Bitbucket)
• Databases: SQL Server, PostgreSQL, MongoDB
• Tools: Jest, Docker, Kafka, GitHub Actions

• Delivered 10+ production-ready features for healthcare applications, impacting over 400,000 patients.
• Designed an automated data integration pipeline, improving validation accuracy by 4% and supporting 22 clinics.
• Enhanced healthcare analytics by building systems that track 47+ key indicators, improving reporting accuracy by 33%.
• Reduced deployment time by 50% with optimized CI/CD pipelines on AWS and CircleCI.

• EventEmitter in Node.js - A note about EventEmitter in Node.js
• Buffers - Buffers in Node.js
• File System - File System with Demos
• Optimizing Web Performance with Progressive Loading: A Case Study - On-demand Loading
• From Bug to Growth: How Debugging Legacy jQuery Enhanced My Development Skills - Legacy Code State Management
• Debugging Journey: Fixing a Critical Calculation Bug in Reporting
• Hidden Input Fields vs. Data Attributes: How to Choose the Right One

• COVID Screening & Vaccine Reservation System - Developed a web application to streamline COVID-19 vaccine appointments, using Django, SQL Server, and jQuery, improving efficiency and user experience.
• Care Gaps Analytics Engine - Designed and implemented an analytics system in Python and MongoDB to track 47+ healthcare indicators, enhancing reporting accuracy by 33%.
• Healthcare Data Integration Pipeline - Built an automated data ingestion pipeline using Python, Kafka, and SQL, improving data validation and accuracy by 4%.
• Next Generation Healthcare System - Developed GraphQL APIs with Node.js and Apollo Server to improve data retrieval, integrated with AWS services for scalability.
• Browser Extension for EHR Systems - Delivered a React-based browser extension with Material UI, enhancing healthcare providers’ efficiency by embedding wellness data directly into EHR systems.
• Client-contractor platform - RESTful APIs with atomic transactions, concurrency control, role-based access, and clean architecture, supporting contracts, payments, deposits, and admin analytics with robust error handling, validation, and audit logging.

⭐️ Inspired by Awesome GitHub Profiles