Mohit K. Email & Phone Number

Bengaluru, Ka, In

Bengaluru, Karnataka, India

Working with Supply Chain and Retail Tech.1) Building a unified inventory management system (IMS).2) Worked on creating Facility platform to show information regarding facility schedule capabilities etc.

Bangalore Urban, Karnataka, India

1) Owned the development of Communication platform2) Contributed to Application platform (powering mobile apps through platform)

Bangalore Urban, Karnataka, India

Role: Software Engineer - Growth and Engagement Team1) Led the revamping of the Navi website, applying modern design principles and UX best practices to enhance user engagement and improve overall aesthetics.2) Played a key role in optimizing web performance, resulting in enhanced user experience and improved SEO rankings for the Navi website.3) Successfully migrated from Webpack 4 to Webpack 5, leveraging the latest features and optimizations to enhance build performance and streamline the development workflow.4)Implemented caching mechanisms and integrated WordPress with Nginx server, resulting in improved website speed and overall performance.5) Developed an end-to-end dashboard named the Communication Portal, for Customer Engagement. 6) Utilized service workers and web workers to optimize web performance, resulting in faster loading times and improved responsiveness.7) Created Insurance journey flow for health insurance page where customers can generate quote and pay on the website itself.8) Developed a complex node-based solution using React-Flow and D3, enabling dynamic visualizations and interactive data manipulation.

Bengaluru, Karnataka, India

Led multiple analytics dashboard projects. Using MERN stack.1) Created an interactive dashboard named Customer-View, showcasing comprehensive analytics and insights of customers. This dashboard featured key performance indicators (KPIs) such as NPS score and Purchasing Power, empowering teams to analyze customer behavior and provide targeted support and personalized services.2) Managed and improved the DXR-Eye project, an ML-powered dashboard that provided in-depth insights of X-ray machines. By leveraging machine learning algorithms, this dashboard offered real-time data analysis, predictive maintenance, and performance monitoring for X-ray machines, enhancing operational efficiency and reducing downtime.