Dhanush M

Frontend Developer

Chennai, Tamil Nadu, India 2+ yrs exp 90 · Outstanding

About

Frontend-focused Software Developer with 2 years of experience building responsive, component-based user interfaces using React.js, JavaScript, HTML, CSS, and Bootstrap. Experienced in developing React.js web applications including shopping cart and dashboard UI projects with clean, reusable components and REST API integration. Brings additional strength in connecting frontend interfaces to real-time backend data (Socket.IO, REST APIs) from ICU monitoring and hospital dashboard systems.

Skills & Expertise (25)

React.js Intermediate

6.5/10

Years Exp

Node.js Intermediate

6.5/10

Years Exp

JavaScript Intermediate

6.0/10

Years Exp

GitHub Intermediate

6.0/10

Years Exp

VS Code Intermediate

6.0/10

Years Exp

Express.js Intermediate

6.0/10

Years Exp

CSS3 Intermediate

6.0/10

Years Exp

HTML5 Intermediate

6.0/10

Years Exp

Socket.IO Intermediate

6.0/10

Years Exp

Postman Intermediate

5.5/10

Years Exp

Responsive UI Design Intermediate

5.5/10

Years Exp

bootstrap Intermediate

5.5/10

Years Exp

MySql Intermediate

5.5/10

Years Exp

Figma Intermediate

5.5/10

Years Exp

MariaDB Intermediate

5.0/10

Years Exp

issue resolution Troubleshooting Analytical Thinking Time management Quick Learning Adaptability Communication Skills Team Collaboration Debugging Problem Solving

Work Experience

Software Developer – Healthcare Systems & Device Integration

Health Sensei India Private Limited

May 2024 - Present

Built REST APIs for hospital monitoring dashboards and HIS integration. Developed real-time ICU patient monitoring systems using Node.js and Socket.IO. Implemented conditional alert handling based on abnormal patient parameter values. Processed live patient parameters including ECG, SPO2, NIBP, Respiration, Pulse Rate, and Temperature. Integrated ICU monitors with HIS systems using HL7 communication protocol. Worked on TCP/IP socket communication for monitor connectivity and real-time data transfer. Managed Raspberry Pi devices for healthcare data collection and transmission. Performed deployment, debugging, auto-reconnection handling, and production support in hospital environments. Automated laboratory report transfer using REST API integration. Implemented conditional parameter mapping logic for hospital-specific workflows. Implemented QC sample handling and analyzer workflow customization. Integrated laboratory analyzers with HIS/LIS systems using ASTM and HL7 protocols. Developed custom parser classes in Node.js for analyzer data processing. Worked on RS232 serial port communication for analyzer connectivity. Added logging, retry handling, validation, and exception handling mechanisms. Performed live debugging, issue fixing, and real-time production support for lab integrations.