Built a fully responsive, end-to-end web application using Next.js, TailwindCSS, and Supabase, improving fintech client accessibility and user experience across devices.

Optimized feature loading and query performance by 40% through Redis caching and event-driven design.

Developed deep learning models for text classification, boosting decision-making accuracy by 15% and reinforcing data-driven insights.

Integrated foundation models with vector databases, streamlining data structures and improving retrieval efficiency by 30%.

Deployed and scaled solutions on AWS, ensuring high availability and secure data processing pipelines.

Enhanced text encoding and generation by training targeted models, improving output reliability by 20% to support analytical

Developed a spring boot application to monitor file delivery systems.

Implemented data streams using Apache spark to leverage real time seamless delivery

supported the application during releases and production issues

Implemented unit test cases to test different scenarios

Integrated Rest API with Apache spark for real time dynamic delivery

Implemented error handling to track failed api and data related issues

Created Dashboards to monitor alert metrics using grafana and prometheus queries, enabling the team to identify trends and issues before production deployment.

Created automation scripts for respective JVMS to reduce false positive alerts using groovy and shell scripts.

Developed an file transfer application using Spring Boot, SFTP protocol for secure sessions, PGP for encryption/decryption, socks proxy for authentication, Implemented Rest API real time client on-boarding and reflect api is used for simple integration of upcoming features

Implemented active-active configuration to make sure that application never fails

implemented an encrypted cache developed in house to store sensitive information.

Implemented gradient boosting using XGBoost for parameter tuning, maximizing profit margins.

Enhanced fraud detection capabilities using Tensorflow, identifying fraud patterns and leading to better accuracy.

Our application was able to support delivering 20,000 files in less than an hour

Created a responsive end-to-end web application for end consumers using Angular 8, Python, Express.

Developed custom components tailored to business requirements using Angular 8 and Angular 11.

Developed and integrated components with external Applications (i.e Tableau, Risk Connect).

Handled route creation and manipulation for various scenarios.

Leveraged Session Storage to expedite processing and efficiently segregate individual user data.

Utilized Google Analytics to track and analyze page visit metrics.

Led the migration process from Angular 8 to Angular 11.

Developed customized configurations using Webpack 5 for Angular Applications.

Optimized application load time through Bundle Optimization and service injections.

Our Application was able to attract 10,000 new enterprise users who were interested in joining based on the capabilities