Senior Software Engineer with experience in computer vision, deep learning, data analysis, and machine learning. Worked on neural networks for object detection, voice filter applications using RNN/LSTM models, and data v…
Senior Software Engineer with experience in computer vision, deep learning, data analysis, and machine learning. Worked on neural networks for object detection, voice filter applications using RNN/LSTM models, and data visualization using Tableau and Power BI.
Working alongside team of engineers on developing efficient neural networks
for object detection for camera using computer vision techniques, data
augmentation, python scripting, data analysis followed by evaluation,
improvements in accuracy
Working alongside team of engineers on developing efficient neural networks for object detection for camera using computer vision techniques
Used data augmentation, python scripting, and data analysis followed by evaluation and improvements in accuracy
Developed a voice filter application utilizing RNN LSTM models and deep learning techniques for Sony audio products
Implemented a deep learning model for detecting vehicle heads in camera feeds
Fine-tuned models to improve accuracy and reliability
Led the development of several proof of concepts (POCs) for camera and audio products
Increased the object detection accuracy of the light weight CNN model by detecting various categories of birds, animals and marine animals head and body
Demonstrated expertise in TV porting and Android Open System Platform, focusing on the Hardware Abstraction Layer (HAL) and sub-HAL layer
Employed Jira and Confluence for efficient ticket resolution and issue tracking within the team
Worked on various data analysis projects during the internship
Demonstrated a keen analytical mindset and the ability to derive meaningful insights from data
Utilized Tableau and Power BI tools to create dynamic and insightful visualizations
Employed QGIS tool to efficiently gather satellite images data for various locations
Completed tasks within a few hours
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