Team: Product Software, specifically on routing and pickup-drop-off experience related development

1. Architected and developed EV charger energy optimization cloud-microservices using Java, Spring Boot framework, Kubernetes, Apache Kafka, and PostgreSQL to enable automatic energy management for EV chargers, resulting in a huge amount of average monthly savings in electricity bills per charger for customers.

1. Designed and implemented the Java-based backend services for EV charger auto-software updates, utilizing Kubernetes, Kafka, Spring Quartz Scheduler, AWS Lambda, DynamoDB, RDS & S3, This system enabled both on-demand and scheduled bulk OTA (over-the-air) updates, achieving complete automation and eliminating over 80 hours of manual scheduling and monitoring typically needed for OTA processes.

2. Built EV charging Kubernetes-managed microservices in Java leveraging Kubernetes, Kafka, and AWS DynamoDB to facilitate customer billing for the usage of Rivian chargers.

1. Alexa Shopping List Savings(https://www.amazon.com/b?node=23869270011&tag=aftvn-20) Designed and developed a flagship customer-facing feature in Java, enabling users to apply manufacturers' coupons across various non-Amazon stores for discounted purchases, leading to over 5,000 active monthly users on the Alexa App.

2. Architected and developed Java-based microservices leveraging AWS ECS-Fargate, AWS SQS, Lambda, and API Gateway. Created the cloud infrastructure with Amazon CDK in Typescript.

3. Alexa Smart Home Device Setup: Built Alexa Skill service in Java using AWS Lambda and Java-based microservices leveraging Amazon ECS-Fargate, Lambda, and SQS to help customers set up and troubleshoot Smart Home devices through voice commands resulting in a 65% increase in device activation rates.

4. Alexa Community Posting: Designed and built the customer-facing features on Alexa to understand and provide helpful responses to health-related voice inquiries through Alexa resulting in a 40% improvement in satisfaction with voice responses.

• Full-stack software engineer

• Work with various AWS technologies and Spring framework

• End-to-End development( design -implementation - deploy - support )of internal worldwide backend web service which enable clients to call through Java client APIs to read and persist data into DynamoDB and also emit metrics and publish reporting data via AWS tech stack (SWF, SNS, SQS, and EDX, Kinesis).

• Design and implement a batch-get API for infrastructure services to fast retrieve 100-size documents from DynamoDB and S3

• Support applications pipelines deployment which involves integration & end-to-end tests implementation, hosts auto-scaling for peak preparation, and deployment controls

Regularly oncall for 15+ web services