Srinivas Alva

• Designed, implemented, evaluated ML and statistical models. Deployed rapid software prototypes to solve problems on incoming data from the sensor.
• Developed root cause reports addressing problems from sensor data.
• A tailored pipeline that fine-tunes the ML model using Apache Airflow & MLFlow.
• Studied and deployed prototype techniques and algorithms for object detection and recognition.
• Developed Intelligent Video Analytics pipeline using NVIDIA DeepStream SDK.
• Deployed a Vision-based model on the cloud using AWS SageMaker & Lambda Services.

• Studied and tailored computer vision models to extract domain-specific information from given images.
• Developed feedback module to improve vision models.
• Converted vision model on web inference using TensorFlow JS.
• Developed back-end application with REST API using Python and Flask.
• Containerized vision models using Docker and automated OTA for vision model pipeline using Jenkins and GitHub CI/CD.

Developed the privacy engine which generates private synthetic tabular data.

Enhance data privacy by utilizing and embedding federated learning frameworks.

Published