KETAN AGRAWAL

Designing a high-performance data pipeline with Spring Boot and Apache Kafka, processing 10M+ records daily and boosting reporting efficiency by 95%.

Enhancing Apache Druid's security by back porting 15+ dependencies, resolving 10+ vulnerabilities, and increasing the security score by 30%.

Developing a Spring Boot authentication service, handling 5,000+ secure requests daily with a 99.9% success rate.

Developed a high-performance real-time data pipeline using Spring Boot and Apache Kafka to efficiently ingest Loan Origination System (LOS) data into Apache Druid. This empowered business stakeholders with interactive Tableau dashboards, ultimately improving the efficiency of the reporting service by more than 90%.

Addressed security vulnerabilities within Apache Druid by backporting various dependencies, resulting in a more secure and reliable deployment for production use.

Developed a Spring Boot-based authentication service with secure code generation, validation, and expiration to ensure secure user access.

Designed and implemented a custom deep learning model using an MLP regressor, achieving a Mean Absolute Error (MAE) of 0.5240 and an outstanding pass rate of 97.07%.

Used various data analysis and data visualization techniques to analyze a dataset.

Contributed to model development, robustness analysis, and critical dimension identification.