As a Software Engineer at Tangible Industries, I am focused on developing cutting-edge applications for 3D visualization, specifically in the realm of medical imaging. My work involves designing and implementing advanced algorithms for processing and rendering complex medical data into intuitive, interactive 3D models. These applications help healthcare professionals better understand medical conditions through enhanced visual insights, enabling more accurate diagnoses and treatment planning. Additionally, I collaborate closely with cross-functional teams, including radiologists and biomedical engineers, to fine-tune the user experience and integrate emerging technologies such as deep learning for image segmentation and enhancement. By applying software engineering principles and innovative visualization techniques, I contribute to the development of tools that improve patient outcomes and advance medical imaging technology.

- Led the design and development of an innovative end-to-end solution for converting medical images into 3D models for printing, utilizing Python, Flask, and ReactJS, focused on enhancing medical treatment planning and patient outcomes.- Engineered a scalable and secure web application for medical image processing, employing Flask for backend operations and ReactJS for interactive 3D model visualization, streamlining the workflow from image acquisition to 3D printing.- Implemented advanced image processing algorithms and integrated 3D modeling tools within a Python-based framework, creating a user-friendly platform for medical professionals to generate precise 3D prints from DICOM images.

Worked as a Graduate Teaching Assistant under Professor Rina Roy, helping students with the course Management of Business Capital.

• Developed and enhanced a financial services application in alignment with industry standards and Agile methodologies, achieving a 20% increase in deployment efficiency and a 30% reduction in maintenance costs.• Designed, implemented, and tested RESTful APIs using Java, Spring Boot, and Spring MVC, contributing to scalable web solutions that boosted performance and accelerated market delivery. Automated backend testing with tools such as Postman, REST Assured, and JUnit, implementing TDD and BDD methodologies to ensure code quality and reliability.• Skilled in microservice environments and cloud-native CI/CD processes using tools such as Git, Jenkins, and PCF, as well as experience with SonarQube for code quality analysis. Extensively worked with databases like Postgres and MongoDB, following Agile methodologies and applying Design Patterns throughout the development lifecycle.• Participated in software design, architecture reviews, and code reviews, ensuring scalability, reuse, and adherence to best practices. Gained hands-on experience with WireMock and Mockito for effective test automation within JUnit frameworks.• Played a pivotal role in the architectural evolution from microservices to micro frontend design, utilizing AWS serverless services such as Lambda, EKS, and S3 to enhance scalability, modularity, and system resilience, which led to faster feature development and deployment.• Optimized backend by transitioning from Java to Kotlin and Node.js, integrating with RabbitMQ for reliable and efficient messaging solutions within the AWS ecosystem. •Revamped the UI with React.js hosted on AWS S3 and Lambda, significantly enhancing deployment processes and overall user experience.