Bharat Suthar Email & Phone Number

Ahmedabad, GJ, IN

Hyderabad, Telangana, India

• Implemented RESTful APIs and integrated third-party services to enhance functionality. Utilized Spring Boot to build scalable microservices, improving system modularity, resulting in a 40% increase in user engagement.

Hyderabad, Telangana, India

• Resolved over 100 bugs in both development and production environment through effective debugging and troubleshooting, while collaborating with other product teams on integration, testing and deployments.
• Leveraged advanced RSA security technology to implement token-based authentication, ensuring robust encryption and secure communcation between microservices.

Hyderabad, Telangana, India

• Contributed to backend development for DueDash, a platform empowering founders, investors, and startups.
• Implemented backend API’s using Node.js and Express.js, controller logic, and Optimized sequelize ORM (MySQL) database queries to reduce the JSON response time by 50% and sent to frond-end system.
• Created Middlewares to restrict incoming requests based on user roles, effectively managing access levels for each module; improved system integrity and reduced unauthorized access incidents by 45%.

• Engineered a powerful search engine by integrating React.js, Elastic Search, and Appbase library; optimized search functionality for e-commerce platform for large dataset, increasing search speed by 40%.
• Worked on Cloudflare for deploying using cloudflare workers and cloudflare queues. Used d1 database and written scripts to upserts the data from d1 database to klaviyo (email marketing service).
• Resolved 50+ common React.js bugs, performed best practices such as code splitting and lazy loading, resulting in a 40% improvement in application performance and a 25% reduction in load times.

• Developed a Web Application of Movie Recommendation System under the guidance of Microsoft Engineer.
• Worked on Recommendation system for movie dataset and Build model based on algorithms like Content based, User and Item based Collaborative Filtering and KNN algorithm.