Yash Rathee

Currently working on API development and integration, focusing on creating and testing APIs using .NET Framework, Swagger, and SQL stored procedures for enterprise applications. Involved in creating and consuming RESTful APIs by integrating Angular HTTP services with backend endpoints built in ASP.NET and C#.

Executed the Segment Anything Model (SAM) to optimize image segmentation processes, achieving a 25% reduction in processing time for large-scale datasets. Enhanced precision in satellite imagery analysis with 92% accuracy in object identification.

Engineered an NLP-driven assistant using the Llama2 model, fine-tuned with the Indian Penal Code (IPC), achieving 90% accuracy in resolving legal queries. Optimized query resolution efficiency by 40%, enhancing user experience.

Developed a Deepfake Detection system using ResNext50 and Recurrent Neural Networks, achieving 98.13% accuracy. Processed the model on various datasets with over 4000 images.

Developed a responsive user interface for an e-commerce platform, optimizing user experience and improving page load times by 30%. Enabled transactions with payment options, increasing successful payments.

Grade: 8.92

Bachelor of Technology in Computer Science Engineering with a CGPA of 8.92.

Executed the Segment Anything Model (SAM) to optimize image segmentation processes, resulting in a 25% reduction in processing time for large-scale datasets, improving efficiency. Achieved 92% accuracy in object identification, enhancing precision of satellite imagery analysis.