• Worked on Treatment session management application that acts as a liaison between delivery machine and the legacy software. It handles fetching, processing and recording treatment delivery adhering to IHE health standards for radiation oncology profiles. Utilized C# .NET RESTful services, SQL server, RabbitMQ, Redis containerized and deployed using Docker and kubernetes• Pivotal in achieving release independence of new treatment delivery software from a legacy monolith. • Worked on 3D image viewer application and eradicated performance bottlenecks, addressing a long standing pain point and improving customer satisfaction• Leveraged cutting edge Azure cloud solutions to existing application use cases facilitating distributed deployments

• Designed, productized and maintained several features of 2D Medical imaging application enabling precision radiation oncology treatments globally using C# .NET, MVVM, WPF, XAML, WCF, SQL server • Developed critical components to enable 2D real-time motion monitoring and automatic gating support for the flagship Unity MR-Linac• Implemented reusable components for vital image processing algorithms in the internal imaging framework platform

• Developed algorithms (image analysis, segmentation, feature extraction, classification) as a part of Companion Diagnostics from detection of salient biological structures in digital histology images to cancer prediction• Prototyped automatic Immunohistochemistry (IHC) nuclei scoring system to assess the prognosis of early stage breast cancer• Worked on Color Standardization system to account for stain color variations in H&E stained whole slide digital images acquired from various institutions/scanners by transforming the color distribution to a template image• Extended implementation of blur detection algorithm at low resolution by estimating image sharpness, which identifies unanalyzable regions for image analysis and facilitates overall image quality assessment • Prototyped Mitosis detection system in H&E stained images to compute mitosis score as a part of Nottingham invasive breast cancer grading• Collaborated and worked closely with pathologists to better understand the tumor characteristics and to develop algorithmic strategy for automatic detection of structures

• Hierarchical fuzzy anatomic modelling of Thoracic objects (Lungs, Skeleton, subcutaneous and visceral adipose tissue)• Location and delineation of interface between Subcutaneous Adipose Tissue (SAT) and Visceral Adipose Tissue (VAT) for different combination of object hierarchies

• Developed Automatic Tumor Measurement module that computes Response Evaluation Criteria for Solid State Tumors (RECIST 1.1) in abdominal CT images for all “Target” and “Non-Target” lesions to classify the disease response categories Complete Response (CR), Partial Response (PR), Stable Disease (SD) and Progressive Disease (PD).• Prototyped “Automatic Trajectory Planning” module with multiple needle insertions for CT guided Robotic ablations.• Identified possible insertion zones using “hard constraints” (occlusion with critical organs, safety margin around tumor, tangency of insertion angles and needle length constraints)

• Segmented spine using bone density mapping and Adaptive thresholding followed by Multi-organ segmentation• Extracted spine/organ based features and used Principal Component Analysis (PCA) for dimensionality reduction• Classified thoracic spine in axial CT slices using SVM and ANN with Accuracy 86.4%, Precision 72.7% and Recall 100%

Developing and maintaining Imaging module (WIF) integration for MAXIO and NAVIOS products for CT image guided interventional Oncology procedures like biopsy, drug delivery, ablation, drainage, fine needle aspiration and pain care procedures for both cancerous and non-cancerous pain.

- Trained in C, C++, Java, Perl, Oracle, HTML, Javascript, UNIX.• Developed an online portal ‘Agri Market’ managing the transactions among dealers, manufacturers and government agencies.• Created web pages (HTML/Javascript), developed software tools (C++/ Java/ Oracle) for processing, validating and updating data. • Executed Unit test cases for verification and validation of the software and performed requirements traceability.• Worked in Infrastructure Management Services - American Express client

- Worked in the Department of Radiology and Imaging Sciences, focusing on the Radiology InformationSystem and PACS Image databases, CT Reconstruction and Hybrid MRI pulse sequences and protocols.- Worked with case studies of breast cancer patients in Mammography, Ultrasound and Breast MRI in developing an Automated software for early detection of Breast cancer.

- Learnt post processing of radiological images (CT, MRI, Fusion Imaging, FMRI) - Aided technicians in image acquisition.- Prepared equipment utilization systems and Manuals.- Servicing, maintenance and troubleshooting of medical instruments.

Course Coverage:- MRI Physics, Instrumentation, Pulse sequences, Artefacts, Post-Processing.- Functional MRI, Diffusion weighted imaging, MR contrast, MR safety.