• Architected and implemented ITK-based 3D image processing filters to edit and refine DICOM segmentations using HU values from DICOM CCTA series

• Served as acting team lead for a ~20-person engineering team, managing sprint planning, backlog refinement, SRS development, and other Agile tasks

• Led the design, development, and validation strategy of clinical imaging features supporting AI-driven models targeted for FDA submission

• Defined validation pathways for new feature releases supporting FDA submission, contributing to verification, traceability, and compliance efforts

• Coordinated multi-month, cross-component feature initiatives and guided integration of long-running branches into the main codebase

• Mentored new & existing engineers on platform architecture and imaging best practices, accelerating onboarding and improving design consistency

• Built and deployed containerized production services to AWS (ECS/EC2), supporting scalable clinical image processing workflows

• Built advanced 3D visualization (VTK) and image processing (ITK) features to support cardiovascular analysis.

• Implemented visualization of a 3D mesh representing the aorta based on patient CCTA data.

• Expanded application support for cardiac anatomies to include variations of coronary vessel origins.

• Streamlined vessel tree editing workflows, reducing manual rework, and enhancing vessel tree computations.

• Developed frontend–backend RPC and websocket communication pathways to support interactive lumen flow visualization and additional user actions.

• Created GitHub Actions workflows to automate DICOM server processing end-to-end testing and other testing frameworks.

• Triaged issues in Dockerized AWS environments and wrote unit tests to capture any identified gaps.

• Refactored MySQL queries and data handling to reduce processing time and mitigate SQL injection vulnerabilities.

• Collaborated with cross-functional teams, using the agile format, to deliver features using an IEC 62304 based development process.

Same role and responsibilities as listed below.

Product Development Department - INR (Imaging, Navigation, and Robotics) Group

• Engineered SQL database and backend functions to integrate surgical instruments

utilizing physical landmark information and 3D CAD rendered models. [C++, SQL]

• Participated in the end-to-end development of four major software releases of the

Spine application, as a database architect and software lead. [C++, SQL, Python]

• Mentored and managed a team of four employees, sharing knowledge of our

systems, delegating prioritized work, and serving as a resource for support.

• Re-designed the internal application, LogViewer, improving the usability of the

application for post-op case analysis and investigation. [C++, XML, Python]

• Created user interface (UI) and backend features for displaying real time

measurements of patient movement during 2D radiographic imaging. [C++, QML]

• Collaborated across various teams and tracked tasks using an agile scrum format and OKR format

Product Development Department - INR (Imaging, Navigation, and Robotics) Group

As a core developer, I am an integral part of the team working on the cutting-edge ExcelsiusGPS robotic system, which is revolutionizing the field of spinal surgery. My primary focus is on developing our Spine-specific application, utilizing my expertise in QML and Qt/C++ to implement innovative features that enable surgeons to plan spinal implants, track instruments in real space, and process radiographic images intraoperatively.

In addition to my development work, I also play a crucial role in testing and validating these features in both dry lab and cadaveric settings, ensuring that our technology meets the highest standards of safety and efficacy. As part of my sustaining efforts, I provide ongoing support to in-field systems, leveraging my deep understanding of the Spine application to debug and solve any issues that may arise.