Created a Security and Issuer Restriction Manager Tool using Java Vert.x for microservices and React Redux, which automated Restricted Trading Lists (RTLs) and reduced the operations team’s daily workload by 30%.Automated lookups in 600–700 ms to translate input identifiers (Ticker, ISIN, CUSIP, SEDOL, and BBCID) into output identifiers (Ticker, ISIN, CUSIP, SEDOL, Issuer, Ultimate Issuer) based on universal rule attributes.Streamlined and optimized the process for selecting securities for the final invest/do-not-invest trading list.Implemented database persistence to maintain the list across multiple accounts, ensuring accuracy and consistency.

Formulated multiple CNN models for myocarditis classification, incorporating transfer learning and feature extraction. Conducted experiments with data augmentation techniques to enhance the accuracy up to 99-100%Authored a book chapter titled ’Heart Muscles Inflammation (Myocarditis) Detection using Artificial Intelligence’in Applications of Artificial Intelligence in Healthcare and Biomedicine, highlighting detection of Myocarditis.

Developed a RESTful API using Django Rest Framework for an examination portal in the NAEST (National Anveshika Experimental Skills Test) project, enabling 200+ question posts and answer validations daily.Conducted comprehensive API testing for quality assurance, seamlessly connected to Microsoft Azure services.