Worked end-to-end on development and testing of a Javabased Spark application to perform deletes over a range ofDatabases.• Setup the whole system to monitor and capture themetrics from Spark Jobs(on GCP Dataproc) toGraphana Dashboard.• Worked on a Spring-Boot based design of the sameapplication as well.• Tech Stack - Java, SpringBoot, GCP, Apache Spark,Apache Kafka, Apache Airflow, Dataproc

1. Designed, developed and integrated microservices on GCP.2. Created API Gateways to secure the API endpoints and also installed Load Balancers to configure custom domains. 3. Worked on authentication for the platform.4. Wrote Async code in python to speed up I/O bound operations in microservices.5. Created and deployed microservices on GCP Cloud Run using Docker containers.6. Also participated in ETH Denver Hackathon. Worked on backend for developing a clone of OpenSea… Show more 1. Designed, developed and integrated microservices on GCP.2. Created API Gateways to secure the API endpoints and also installed Load Balancers to configure custom domains. 3. Worked on authentication for the platform.4. Wrote Async code in python to speed up I/O bound operations in microservices.5. Created and deployed microservices on GCP Cloud Run using Docker containers.6. Also participated in ETH Denver Hackathon. Worked on backend for developing a clone of OpenSea, with some added features for personalization.7. Scraped data for the platform using selenium. Show less

1.​ ​ ​ ​ ​ Worked on the Data Engineering side of the ‘Conversational AI’ team atWalmart.2.​ ​ ​ ​ ​ Worked on setting up a data pipeline to collect data from Kafka Topicsand save them in a Cassandra Table after doing the required processing.3.​ ​ ​ ​ ​ Worked on the logic to select the table specifications in Cassandra,according to the requirements of the service making the queries on thedata.4.​ ​ ​ ​ ​ Explored internals of Kafka and implemented the concept of… Show more 1.​ ​ ​ ​ ​ Worked on the Data Engineering side of the ‘Conversational AI’ team atWalmart.2.​ ​ ​ ​ ​ Worked on setting up a data pipeline to collect data from Kafka Topicsand save them in a Cassandra Table after doing the required processing.3.​ ​ ​ ​ ​ Worked on the logic to select the table specifications in Cassandra,according to the requirements of the service making the queries on thedata.4.​ ​ ​ ​ ​ Explored internals of Kafka and implemented the concept of ManualOffset commits in the prototype application.5.​ ​ ​ ​ ​ Implemented the prototype application using Java clients for Kafka andCassandra. Show less

1. Worked on the optimization of the image pre-processingpart of the OCR pipeline2. Used the concept of Super-Resolution of images to improvethe readability of low-resolution document images usingDeep Learning based Generative Model - SRGAN3. Developed a command-line utility to train the SR-GANmodel for 2x, 4x.. resolutions and to super-resolve testimages for different resolutions.4. Understood the concept of transfer-learning forextracting… Show more 1. Worked on the optimization of the image pre-processingpart of the OCR pipeline2. Used the concept of Super-Resolution of images to improvethe readability of low-resolution document images usingDeep Learning based Generative Model - SRGAN3. Developed a command-line utility to train the SR-GANmodel for 2x, 4x.. resolutions and to super-resolve testimages for different resolutions.4. Understood the concept of transfer-learning forextracting features from an image, and hence fine-tunedResNet18.5. Worked on the pre-OCR document classificationmethods to classify the documents. Implemented andne-tuned ResNet18 and VGG16 for the task ofdocument classication and achieved an accuracy of 92%on RVL-CDIP test dataset using an ensemble model ofResNet18. 6. Developed a command-line utility to train the modelto different regions of page and then make a combinedprediction for the task of document image classification. Show less