Narasa Reddy

• Consistently met project deadlines by effectively managing time and prioritizing tasks according to importance.
• Analyzed proposed technical solutions based on stakeholder requirements & feedback.
• Developed scalable and maintainable code, ensuring long-term stability of the software.

Computer Vision - Industrialization:

• Automation of cv pipelines for Injection, Training, Annotation, and Deployment.
• Model Optimization with ONNX, TensorRT and OpenVino at different precisions like full, half, int8 to find suitable model in speed and performance.

ML Platform:

• Platform as a whole was very instrumental in the governance and development of models and was made accessible for everyone with required capabilities for model development.
• Designed and Implemented model monitoring solutions for the platform like model/data drift and explainability.
• Oversaw the implementation of AWS annotation module in the platform.
• Implemented a metadata repository to have centralized computer vision data.

Operations Team:

• Implemented CI/CD pipelines using Jenkins which consists of Code Quality, Security checks, Tests and Deployment.
• Deployed different AWS cloud designs using AWS CDK(IaC).
• Performed code formatting/restructuring, code reviews, code packaging, etc.