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Priyanka Velaga

@priyankavelaga

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AWS Certified Solutions Architect specializing in AI and cloud infrastructure.

United States

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What I'm looking for

I am seeking a role that fosters innovation and collaboration, where I can leverage my cloud and AI expertise to drive impactful projects.

I am an AWS Certified Solutions Architect and AI Solutions Architect with extensive experience in designing and managing scalable cloud infrastructure and AI solutions. My expertise lies in automating deployments and resource scaling using CloudFormation templates, Python, and Bash, as well as developing high-performance REST APIs and cloud-native MLOps pipelines.

Throughout my career, I have successfully led the implementation of DevOps and MLOps best practices, ensuring reproducibility and version-controlled ML artifacts. I have a proven track record of architecting secure, serverless AI microservices and optimizing CI/CD pipelines to enhance reliability and reduce release times. My collaborative approach allows me to drive end-to-end AI project delivery, aligning solutions with business objectives.

Experience

Work history, roles, and key accomplishments

Current

AI Solutions Architect

Current

OpenBean Inc.

Jan 2023 - Jan 2024 (1 year)

Implemented DevOps and MLOps best practices, integrating CloudFormation, GitHub Actions, and Amazon ECR for infrastructure as code. Automated model training and deployment using SageMaker and built real-time feature engineering pipelines. Designed secure, scalable AI microservices and developed GenAI applications leveraging AWS Bedrock.

AWS Sagemaker CloudFormation Docker Kinesis API Gateway DynamoDB GitHub Actions

Gemini API Developer

Google AI for Developers

Dec 2022 - Jan 2023 (1 month)

Created and managed a Gemini API for a Generative AI project, integrating Google Cloud services for audio-to-text and image generation. Developed a Flask web application with secure user authentication and dynamic routing based on user preferences.

Google Cloud Flask API Development TensorFlow AutoML Kinesis GitHub

AWS Developer

Elevance Health

Jan 2022 - Jan 2023 (1 year)

Developed automation scripts and CI/CD pipelines using AWS services to enhance application reliability. Containerized applications with Docker and managed APIs with AWS Lambda and API Gateway. Monitored system performance and managed AWS resources for optimal cost efficiency.

AWS Python Docker CloudFormation CI CD Lambda API Gateway Kinesis MySQL

Education

Degrees, certifications, and relevant coursework

University of Texas at Arlington

Master of Science, Computer Science

2021 - 2022

Completed a Master's of Science in Computer Science, focusing on advanced topics in computer science, including cloud computing, machine learning, and software development methodologies.