1. Developed Super-Resolution (SR) techniques to enhance the resolution of X-ray images for improved medical diagnostics.2. Implemented SR models like Enhanced Deep Super-Resolution (EDSR) and Kernel Ridge Regression (KRR) using PyTorch.3. Focused on optimizing image quality with high accuracy to assist in medical image processing tasks.4. Conducted a comprehensive literature review on SR techniques, comparing interpolation-based, reconstruction-based, and learning-based approaches.5. Analyzed computational requirements and the effectiveness of SR methods in the medical imaging domain.6. Applied metrics like Peak Signal-to-Noise Ratio (PSNR) to evaluate and refine the performance of SR models.7. Worked to enhance image clarity and detail retention in low-quality X-ray images for better diagnostic outcomes.8. Currently involved in developing Super-Resolution (SR) techniques for X-ray imaging as part of ongoing research in medical image processing.

1. Created and deployed multiple Glide Apps, such as Vendor Tracker, Lab Reservation, Project Management, and Inventory Management.2. Gained proficiency in UI/UX design and database integration through app development.3. Collaborated with teams to gather requirements and manage project timelines effectively.4. Enhanced soft skills like communication and problem-solving under mentorship at CoEZET.

1. Led project management initiatives, overseeing project plans and ensuring timely delivery with adherence to quality standards.2. Took on an active role in data management and analysis, using statistical techniques to interpret data and support informed decision-making.3. Actively identified areas for improvement in project management and data analysis processes.4. Implemented innovative solutions and best practices to foster continuous improvement and excellence.

1. Successfully completed comprehensive training in Natural Language Processing (NLP), gaining advanced proficiency in Python libraries for text analysis and comprehension.2. Developed a live Artificial Intelligence project, with a focus on NLP using Python.