Spearheaded the development and delivery of key features for Alexa Communications, resulting in improved security and user experience.

• Led the implementation of the Incoming Call Blocking feature, reducing monthly user churn by 10%.
• Designed and Implemented a Malware Scanner for enhanced security within the Alexa LLM architecture.
• Launched an experimental primer page to optimize device setup flows through user acceptance A/B testing.

Responsibilities:
Development and Execution of the Artificial Intelligence of Bigthinx products using Computer Vision, Machine Learning, Deep Learning, OpenCV and other relevant frameworks, as well as integration of new technologies.

Key achievements:
● Proposed and implemented process-based parallelism, which reduced the Image Processing server's latency by 60%.
● Implemented ML detectors using C++ and deployed them on edge devices.
● Developed GPU-accelerated Docker images to be used in production that enabled on-demand server scaling, thereby reducing the overall cost of the servers.
● Researched and prototyped techniques/algorithms for object detection and recognition.
● Identified new problem areas and researched technical details to build innovative products and solutions.