Miryala Vinay

• Troubleshot and debugged issues within existing Python codebase, enhancing functionality.
• Created unit tests for new and existing Python code using PyTest framework.
• Utilized Pandas library for data analysis and visualization to support project objectives.
• Implemented comprehensive unit tests, ensuring thorough evaluation of pre-developed code.

Annotated over 80,000 data points, ensuring high accuracy in labeling images and videos.
Executed bounding box segmentation and semantic segmentation techniques for diverse datasets.
Collaborated with senior data scientists on AI model training and deployment using AWS services.
Engineered and refined business-oriented prompts to enhance AI model performance.
Processed extensive datasets, employing classification models such as SAM and SageMaker.
Actively contributed to prompt engineering initiatives, expanding knowledge of RAG and LLMs.
Participated in development and testing of AI solutions to meet client requirements.
Supported deployment of AI models, facilitating efficient operational workflows.

Acquired expertise in DevOps methodologies through comprehensive training with Ericsson.
Developed proficiency in Kubernetes and Docker for effective container management.
Established a solid foundation in continuous deployment and orchestration practices.