Priyanka Velaga

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.

- Built a Flask web application to generate personalized health plans based on user input
- Configured secure API access with Gemini and Google Custom Search APIs
- Designed and implemented content formatting functions using RegEx
- Enabled real-time error tracking and debugging during development with Flask’s debug model

- Created a Gemini API for a Generative AI project
- Integrated audio-to-text, Speech-to-Text, and Text-to-Speech APIs
- Developed a Google OAuth2 Authentication
- Created routes and directions with the Directions API
- Set up APIs, managing datasets for AutoML Vision, and deploying custom-trained models in Vertex AI and monitored model performance with TensorBoard

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.

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.