Jul 2024 – Sep 2024 · 2 mos · Sunnyvale, California, United States · Hybrid

• Enhanced global scalability by internationalizing facets and updating APIs to remove country-specific logic.
• Migrated integration tests from Postman to Java-based Rest Assured, streamlining automation.
• Boosted Sonar coverage from 30% to 85% through extensive JUnit tests, improving maintainability and reliability.

Feb 2024 – Jun 2024 · 4 mos · Irving, Texas, United States · On-site

• Worked on a wealth management application to streamline the onboarding process for personal and corporate trust accounts by integrating with ACATS (Automated Customer Account Transfer Service) and Apache Kafka.
• Transitioned endpoints from REST to GraphQL, led to a 70% reduction in bandwidth usage for data fetching.
• Spearheaded a remote team of 3 members, diligently conducting code reviews and collaborating with business teams to refine and align project requirements.

Jan 2023 – Feb 2024 · 1 yr 1 mo · Denton, Texas, United States · Remote

• Modernized a real-time claim adjudication system using microservices, integrated with multiple insurance providers
• and 64K pharmacies, substantially reducing claim processing time and deployed on AWS cloud using PCF
• Developed an electronic prior authorization module within the claims processing system, resulting in an impressive 80% reduction in approval time, decreasing from 21 minutes to just 4 minutes.
• Contributed to the design of scalable systems handling up to 30K TPS, incorporating critical concepts like DB Horizontal sharding, partitioning, Clustered Redis and DB replication.
• Created a dynamic YAML schema validation system, reducing rule adjustment time from 2 hours to just 10 minutes.
• Migrated ReactJS older class-based components to functional components and implemented lazy loading, reducing render time by around 27%.
• Tech Stack: Java, Python, TypeScript, Spring Boot, ReactJs, Gemfire, Mongo DB, Apache Kafka, REST, Swagger, Git, GitHub Actions, Gradle, AWS

May 2022 – Aug 2022 · 3 mos · Denton, Texas, United States · Remote

• Developed a Java-based web application utilizing the Spring Boot framework to visualize AWS metrics, enhancing user insights into system performance.
• Utilized AWS CloudWatch Metrics to craft custom dashboards, delivering real-time monitoring and alerting capabilities to customers.
• Leveraged AWS CloudWatch for real-time metric data retrieval, contributing to quicker issue resolution, resulting in an 80% reduction in customer ticket resolution time.
• Implemented a Single Page Application (SPA) using React functional components and custom hooks, ensuring a responsive and seamless user experience.
• Authored a comprehensive design document for the project and actively participated in document reviews, fostering clear project communication and alignment.
• Created robust unit test cases using JUnit 5, ensuring code quality and reliability.
• Tech Stack: Java, React.js, Spring Boot, AWS, unit testing (JUnit 5), MongoDB.

Jan 2022 – Dec 2022 · 11 mos · Denton, Texas, United States · On-site

• Course CSCE 5214 - Software Development for Artificial Intelligence
• Course CSCE 5300- Introduction to Big Data and Data Science
• Documented attendance and completed assignments to maintain full class and student records.
• Checked assignments, proctored tests and provided grades according to university standards.
• Assisted faculty with copying papers, collecting assignments and preparing materials for upcoming classes.
• Prepared lessons according to course outline to convey required material and deepen student understanding of subject matter.
• Taught small groups of students focused on specific parts of coursework through online sessions.

Jun 2019 – Aug 2021 · 2 yrs 2 mos · Hyderabad, Telangana, India · On-site

• Vendor: Tata Consultancy Services
• Led the migration of 5 Spring Boot micro services of the retail store application fromWebObjects to Jetty servers.
• Built a dashboard using Boto3 SDK to monitor status of load balancers and Nginx EC2 servers.
• Elevated code coverage to 90% - 95% by developing robust JUnit test classes and utilizing Mockito for effective instance mocking. Leveraged SonarQube for comprehensive code quality assessment.
• Automated server configuration, log management, and code deployment through Python and Ansible.
• Tech Stack: Java, Python, React.js, Spring Boot Django, Hibernate, MySQL, MongoDB, AWS, Tomcat, Jetty, Nginx, SonarQube, JaCoCo, Junit, Jest, Splunk, Jenkins

Jan 2019 – May 2019 · 4 mos · Bengaluru, Karnataka, India · On-site

• Key contributor within the UPI team, involved in handling 50% of daily transactions (approx. 100 Million) for Google Pay with TP95 latency under 80ms.
• Created a rule engine which simulates loan offers for customers based on rules provided by Lenders and built Rest Apis to integrate with third party service for doing KYC of customers
• Designed and developed a Java-based web application using Spring Boot Framework and Hibernate to manage customer data and transactions.
• React was used to create the user interface, and it was connected with the Java back end.
• Migrated Apache rules to Nginx rules and configurations,
• Managed the MongoDB database and enhanced its performance to guarantee quick data processing and retrieval, used Redis store for cache
• Created custom dashboards in Graphana for various metrics from AWS, Cloudwatch.
• Used AWS services including EC2, S3, Lambda, API Gateway, CloudFront, and CloudFormation for deployment and scaling, worked on Load Balancer (Envoy, Nginx ).
• Worked on Load Balancer (Envoy,Nginx), Kubernetes, AWS Cloud,
• Developed custom dashboards in Graphana to display metrics from AWS Cloudwatch.
• Tech Stack: Java, Spring Boot, React, Hibernate, MongoDB, HTML/CSS/JavaScript, AWS, Git, Jenkins

May 2018 – Jun 2018 · 1 mo · Hyderabad, Telangana, India · On-site

Jan 2018 – Dec 2018 · 11 mos · Visakhapatnam, Andhra Pradesh, India · On-site

• Created a Django-based web application that offered users with real-time metrics and insights.
• Django Rest Framework was used to provide RESTful APIs to connect with the AI model.
• ReactJS was used to create user interfaces that were then connected with the Django backend.
• Managed the application's deployment and scalability on AWS.
• Performed data sanitization and used libraries like boto3, Beautiful Soup, numpy, scipy, matplotlib, pandas data frame, urllib2.
• Tech Stack: Python, Django, React.js, SQL, AWS, REST, HTML, CSS, JavaScript, Git, Jenkins