Apr 2021 – Mar 2024 · 2 yrs 11 mos

Jan 2021 – Jan 2021 · 0 mo · Bengaluru, Karnataka, India

• Search Science & AI (Recommendation System)
• Worked on improving Amazon's eCommerce recommendation system by identifying additional set of features and feeding them into the ML model to obtain better search results.
• Used Spark Job on Amazon EMR cluster to process TeraBytes of data and fine tune it to reduce processing time.
• Exposure to technologies like on-cluster HDFS storage, AWS S3, NoteBook, YARN etc. and Python language.

Jan 2019 – Jan 2021 · 2 yrs

• <Health Tracker>
• Working on the scalability and reliability aspect of a product that tracks the health of all existing assemblies
• Scaled the product to 10x, now having the capacity to process 1 million requests per second
• Used Kafka in distributed systems environment to receive incoming events in-order in real-time.
• Exposure to technologies like Distributed Systems, EC2 instances, Apache Kafka, DynamoDB, Scala(language) etc

Jan 2018 – Jan 2019 · 1 yr

• < CLOUDCRM >
• Developed a platform Cloud CRM to provide open data model for CRMs. It has an impact to save 100 million USD per year
• Developed a serverless AWS lambda for bi-directional sync between Jira and Cloud CRM.
• Used Debezium for change data capture, AWS Kinesis to collect and process real time streaming data.
• Exposure to technologies like AWS Lambda, DynamoDB, AWS Kinesis, AWS S3, Python(language) etc.
• < COST ANALYZER >
• Developed a product CostAnalyzer to prevent Out Of Memory Exception in production.
• Statically analyzed program byte code to get heap memory consumption information during its entire lifetime.
• Responsible for designing the architecture, models, as well as the algorithms required for the analysis.
• Exposure to technologies like Spring MVC, Neo4j, AWS S3, Docker, Graph Database, Java (language) etc.

May 2015 – May 2017 · 2 yrs