ARNAV NAMBIAR

• Contributing to coding by using supervised ,unsupervised machine learning, and natural language processing to further development of voice synthesis technology

• Automated Docker image build and deployment using GitHub Actions/Workflow, integrating with AWS services
• Architected and provisioned scalable AWS infrastructure, including Lambda, EC2, ECR, ECS, and S3, to support the pipeline’s development and maintenance.
• Developed Python scripts for efficient processing of multi-modal data, enhancing the user experience by optimizing performance and reducing latency.

• Cleaned qualitative data using SQL required for Audits on Lincoln Community School and created presentations relating to findings from Audit, resulting in a new Elementary school building being constructed
• Created a report through excel for potential EY CSR Scholarship recipients for 2020-2021
• Worked with a team to deliver a presentation based on employee satisfaction survey highlighting skills learned and ways internship can be improved based on data