For a leading US power and energy company, I revamped customer engagement by implementing an advanced contact center solution on AWS. This involved integrating key AWS services like Amazon Lex, Amazon Connect, AWS Lambda, Pinpoint, Kinesis, and DynamoDB along with the client's APIs and services to streamline interactions. Additionally, implementing Large Language Models (LLMs) to enhance understanding and response to inquiries, significantly boosting satisfaction and retention. Overall, my efforts drove substantial improvements in customer engagement and satisfaction for the company.

Collaborating closely with US teams on two internal projects, I led the creation of a query conversion tool aimed at migrating Teradata data to cloud-based warehouses (Snowflake, Synapse, Redshift), reducing effort by 90%. As the sole Python developer on this project, I gained expertise in modern data warehousing technologies. Additionally, I significantly improved efficiency through a report rationalization tool, reducing effort by 40% compared to traditional methods. Acting as a bridge between offshore and onshore teams, I facilitated communication and collaborated closely with directors to present updates and clarify requirements. Throughout these endeavors, I acquired proficiency in cloud platforms and maintained clear communication channels to ensure project alignment and success.