Shubham Rajvanshi

• Implemented advanced algorithms for machine learning and deep learning applications.
• Built functionalities utilizing machine learning models and computer vision.
• Scaled machine learning models and computer vision techniques.
• Implemented various functionalities into the main application, ensuring seamless integration and successfully deploying them on both testing and production servers.
• Provided leadership and guidance to team members, ensuring that tasks were completed on time and to a high standard.

Projects

Content Moderation

• Moderated video content for a client using machine learning and computer vision.
• Automated the moderation process, achieving high accuracy and compliance with regulations.
• Regularly updated models based on feedback and new data.

Sports Automation

• Developed functionalities to identify key sports events using specialized models for cricket and football.
• Used computer vision for real-time event detection during live broadcasts.
• Integrated and deployed the system, ensuring high accuracy and regular updates.

In-House Model Training App

• Designed an app for training and fine-tuning various machine learning models with automation.
• Supported object detection, image classification, LLMs, and LMMs.
• Created a scalable, user-friendly web interface with real-time performance monitoring and access control.
• Regularly updated the app with new features and improvements.

• Enhanced knowledge and skills in new technologies at a training institute.
• Utilized Python, Docker, Big Data Hadoop, AWS, and RedHat Linux for Machine Learning projects.
• Developed and launched a voice-controlled app for automating Linux commands.
• Developed and implemented an automated system to efficiently create a comprehensive Hadoop HDFS.
• Training institute for enhancing knowledge and developing practical skills in new technologies.