Hameem Ahmed

Developed an AI solution to improve the accuracy and efficiency of a public safety system (Green Wave).• Leveraged transfer learning with audio detection models to achieve high accuracy for real-time emergency vehicle prioritization at intersections.• Compressed the model using quantization techniques for efficient deployment on resource-constrained edge devices.• Proposed a novel approach for automatic data pre-processing and labeling using the base model itself, achieving over 98% accuracy and significant

Built a high-performance web application for audio/video transcription, streamlining internal business processes.• Architected and implemented the entire application from scratch as a solo full-stack developer.• Leveraged a microservices architecture and pub/sub design to ensure scalability and real-time performance.• Developed a user-friendly interface with comprehensive functionalities: - Supported all popular audio/video formats for seamless file handling. - Enabled real-time transcription editing

- Developed an indoor positioning module using the Ublox CellLocate feature with an ARM device. The module integrates into a fusion of other position detection techniques, working together to get the accurate position. - Created a Python back-end for the acquisition and processing of device data, along with a front-end to display the history and live view of the device position. Developed a web based IoT dashboard to visualize real-time data from all distributed system components.

Cloud Computing Artificial Neural Networks Natural Language Processing Distributed Embedded Systems

Analog Electronics Digital Electronics Digital Signal Processing Control Systems Embedded Development Optical Electronics Lasers and Solar Cells