I am currently working as a Software Engineer - III at Guidewire Software. I pursued my Masters in Computer Science at The University of Florida graduated May-2021. I am open to exploring new opportunities.
• Implemented an orchestrate application by extracting a feature from a monolithic application, significantly improving quoting performance 2x times. • Optimized existing API functionality by architecting a response format compatible with multiple upstream users.
• Architected and implemented a Spring Boot Reactive Microservice, facilitating asynchronous read and write operations with AWS DynamoDB and S3. • Integrated Kafka seamlessly with microservices to enable continuous event production without impacting API responsiveness.
• Documented and streamlined the complex environment setup process for an AWS and Spring Boot-based application. • Developed batch processing jobs using Kettle to analyze approximately 10~million records in a MySQL database.
COURSE WORK: Analysis of Algorithms, Advance Data Structures, Machine Learning, Distributed Operating Systems, Databse Management Systems, Pattern Recognition, BlockChain Technology.
COURSE WORK: Computer Networks, Data Structures, Data Warehousing and Database Management, Operating Systems etc,.
Implemented Twitter Clone and simulator using web sockets implementation of web sharper. Created a simulation engine to check perform load testing on the API.
View ProjectDevised a web application that analyses the existing Kaggle data of a social networking platform “Meet up”. Extracted knowledge insights (such as geographical, user-level insights etc.) form the data on the millions of records within ~10 seconds.
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Crafted an application that focuses on the implementation of blockchain-based authentication and validation of digital documents. Addressed and resolved most of the functionalities and security features the current system is lacking.
View ProjectImplemented a hand-gesture recognition using an OpenCV on Python. Utilized a histogram-based methodology to isolate a hand from the background picture and recognize the gestures made by the person.
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