π 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
- 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 providersβ efficiency by embedding wellness data directly into EHR systems.
βοΈ Inspired by Awesome GitHub Profiles