Rakshak Khandelwal

Developed and launched the company website end-to-end in under a week, achieving 100% Core Web Vitals across all pages. Migrated monolith to microservices, integrated Meilisearch for fast user retrieval, and optimized data modeling for performance. Integrated Stripe with connected accounts and load-balanced notifications for scalable real-time processing.

Contributed to the development of a scalable Enterprise Management System (EMS) with a robust Node.js backend and dynamic Next.js frontend. Focused on performance, modular architecture, and rapid iteration across critical business modules.

Led backend development with a cross-functional team, delivering scalable architecture and microservices. Refactored a monolithic system to microservices, reducing average response time to 20–70ms and cutting infra costs by 50%. Automated UPI validation for 1M+ entries using Python & Selenium, lowering costs by 90%.

Collaborated closely with backend developers to reduce frontend bugs by 40% and deliver successful client projects. Contributed to full-stack development using modern frameworks, ensuring design consistency and seamless integration.

Developed backend solutions for GoMedicX.io, including patient onboarding, hospital management, and mobile booking functionalities. Deployed the platform on AWS, managed SSL certificates, and utilized S3 for secure storage of over 10,000 patient records. Enhanced security measures led to a 50% reduction in security incidents, while also improving system scalability and performance by 40%.

Developed 8+ web apps for data analytics, ensuring database and API reliability. Designed a CRM to streamline complaint management; improved frontend reliability by 40% and boosted client retention by 15%.

Conducted manual performance and regression testing, improving responsiveness by 25% and stability by 20%. Validated bug fixes and reduced post-release defects by 30%; coordinated 4–5 beta testers to ensure smooth deployments.

Developed a real-time Vehicle Tracker for 460+ vehicles, reporting geolocation data every minute. Utilized React and the Google Maps API to visualize vehicle locations and their paths.

Grade: 8.9 CGPA

Pursued a Master's degree in Computer Applications, gaining advanced knowledge in software development and computer systems. Achieved a strong academic record with a CGPA of 8.9.

Grade: 7.8 CGPA

Completed a Bachelor's degree in Computer Application, establishing a strong foundation in computer science principles. Maintained a solid academic performance with a CGPA of 7.8.