Work Experience

Vicharak

• Working on ML acceleration solutions with FPGAs, integrating hardware and software to enhance deep learning performance.
• Designing and implementing runtime, simulation, and compiler tools for seamless deployment and testing of ML models on custom hardware.
• Collaborating on tasks with models like MobileNet, SSD, YOLOv8, and ResNet, focusing on image processing, object detection, and optimization.
• Evaluating and improving model performance with frameworks like ONNX, TensorRT, RKNN, and Hailo, enhancing accuracy and efficiency.

Indian Institute of Technology, Delhi

• Objective: Development of Super-app for Indian elderly population with voice-controlled features
• Developed an Android application using Kotlin to facilitate audio recording and submission to a centralized database, creating a robust dataset for training the Al system
• Conducted research on existing Al systems for speech recognition, with a specific focus on AWS Machine Learning-based Speech Recognition Systems, to be integrated in the app’s backend