AWS Bedrock

• Worked directly with leading AI companies including Anthropic, Mistral, and Cohere to onboard next-generation foundation models and multimodal AI systems at scale

• Architected and deployed automated systems for Large Language Model (LLM) performance optimization and benchmarking, reducing manual testing effort from hours to single command execution

• Engineered production-scale microservices with sub-millisecond latency and 99.9% availability serving millions of enterprise customers in AWS Bedrock's generative AI platform

• Conducted comprehensive security assessments and threat modeling for new AI model integrations, ensuring enterprise-grade security compliance throughout the MLOps lifecycle across Bedrock's model hosting platform

EFS

• Helped further develop EFS open source mount helpers, efs-utils and efs-csi-driver, using Python

• Developed testing infrastructure, including canaries and integration testing, using Python Lambda functions, Typescript with the AWS CDK, and container services along with Kubernetes resources

• Led integration efforts with other services within AWS, such as EKS, ECS, EC2, and Lambda

• Assisted with automating new region build efforts to make EFS available globally

• Recipient of Hewitt Pathfinder Startup Internship Scholarship

• Implement Deep Convolutional Neural Network using ResNet backbone to identify certain objects within images

• Create Synthetic Image Data using Python Script

• Assist with communication and coordination with outsourcing partners

• Automate Quality Control process of client report distribution using Google Sheets API, PYGSheets, AWS EC2 Instance w/ Python code

• Assist with update of Backend Architecture using AWS with Flask Python API

• Helped create and process image data using GIMP for the Hopper Algorithm, which creates 3D Models with user taken photos and utilizes Deep Learning techniques

Use Deep Learning techniques with medical resonance imaging to help discover more about Chronic Traumatic Encephalopathy (CTE).