Ashimjyoti Nath

Worked on two Indian Army Project.

• AI-Enhanced Intrusion Alert System- Developed the AI model and the Device.
• VoicePilot Interpreter- Offline speech translation. Developed the AI model and the Device.

• Contributed to the advancement of scientific knowledge through continuous collaboration with fellow researchers and experts in the field.
• Served on academic committees to further the objectives of the research institution, contributing to decisions regarding resource allocation, hiring, and strategic direction.

• Developed cutting-edge algorithms for medical image processing aimed at enhancing diagnostic accuracy and efficiency.
• Collaborated with cross-functional teams to gather requirements, design, implement, and optimize algorithms tailored for medical imaging applications.
• Leveraged advanced techniques in computer vision and machine learning to extract meaningful insights from medical images, contributing to the improvement of healthcare diagnostics.
• Played a pivotal role in the development of a web application interface to facilitate seamless interaction with the developed algorithms, ensuring accessibility and usability for healthcare professionals.
• Conducted rigorous testing and validation of algorithms to ensure robust performance and accuracy across diverse medical imaging modalities and datasets.
  
  
  

• Developed advanced algorithms for the detection and classification of multi-class oral squamous cell carcinoma (OSCC) from medical images.
• Conducted in-depth analysis of medical imaging data, histopathological images, to identify key features and patterns indicative of different stages and subtypes of OSCC.
• Collaborated closely with healthcare professionals and domain experts to understand the complexities of OSCC diagnosis and incorporate domain knowledge into algorithm development.
• Implemented and optimized convolutional neural networks (CNNs) and other deep learning architectures to achieve high accuracy and robustness in OSCC detection across diverse patient populations and imaging modalities.
• Contributed to the development of a comprehensive software platform for automated OSCC detection and analysis, integrating the developed algorithms into a user-friendly interface for healthcare practitioners.
  

• Designing and developing mobile applications for e-commerce platforms, Android devices.
• Collaborating with cross-functional teams including product managers, designers, and backend developers,.
• Implementing user interface designs and interactions that enhance usability a.
• Integrating with backend APIs and third-party services for functionalities such as product catalog management, payment processing, order fulfillment, and customer support.