• Software Requirements Analysis and UML Diagrams: Performed thorough software requirements analysis and designed clear UML diagrams using XMind, demonstrating expertise in system design.• Award-Winning Java Application: Developed a Java-based solution utilizing REST API and custom Java queries to efficiently retrieve CT scan data in DICOM format from PACS servers, enhancing accessibility for doctors and streamlining patient data retrieval processes and earned recognition with the 'Best Project' award.• Efficient Test Data Automation: Maximized testing efficiency to 80% by automating test data creation through the development of streamlined tools in Java Swing and Python scripts leveraging the Pydicom library.• JavaFx GUI Design: Designed JavaFx graphical user interfaces for a multi-threaded application, facilitating seamless version comparison and improving user experience.• Medical Imaging Application Enhancements: Implemented lung nodule cancer detection features in a Java application, specializing in CT scan DICOM image feature matching.• Python Integration in Machine Learning: Designed and developed Python functionality to generate PNG images from DICOM image data using OpenCV for a machine learning project.• GUIs with Python Libraries: Designed GUIs using Python libraries like PyQt5 and integrated backend machine learning classification models.• Code Quality and Security Assurance: Ensured code quality and security compliance through static code analysis using the Klocwork tool.• Testing and Quality Assurance: Generated final deliverable images utilizing Docker and performed rigorous software testing on Docker images in the Linux (CentOS) environment to guarantee robust functionality and compatibility. • Version Control: Proficient in version control systems like SVN and Git for Configuration Management and Integration Control.

• DICOM Standard Mastery and Workflow Analysis: Mastered the DICOM standard and medical domain applications, conducted in-depth analysis of existing projects to comprehend workflow intricacies.• Java Proficiency: Developed and presented Java test applications to superiors, showcasing technical proficiency.• Implemented Features on Existing Projects: Implemented various features in a Java application for generating study reports on medical applications, gaining a comprehensive understanding of results.• Innovative Problem-Solving: Designed Java application within Automation Platform, utilizing advanced Java queries for selecting relevant CT scan images from server storage (PACS), demonstrating strong problem-solving abilities.

• Python Proficiency: Mastered Python programming language to execute diverse industry level projects effectively.• Foundational ML Expertise: Acquired essential understanding of deep learning and machine learning principles, particularly emphasizing neural networks and classification model.• NLP Project Development: Engineered a resume classification system employing Natural Language Processing (NLP) methodologies in Python, showcasing practical skill application.