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Resume

Professional Experience

2021 - Present

Lead Data Scientist

Siemens Healthineers

Erlangen, Germany

  • Leading a team of six data scientists and machine learning engineers for the AI-Rad Companion portfolio of clinical applications in Siemens Healthineers

  • Responsible for data science for seven AI-based medical devices spanning medical image information processing systems, medical image analyzers and computer aided diagnosis and detection devices. 

  • Skilled at working collaboratively with algorithm development, clinical evaluation, product management, software engineering, quality and regulatory teams. 

  • Evangelist for MLOps methodology for AI design and development

  • Hoshin-Kanri Ambassador - Supporting Productline Leadership with long-term Strategy Decisions. 

  • Engaging with cross-functional teams based in multiple locations worldwide 

  • Steering clinical validation studies for submission to regulatory authorities. 

  • Nine patents filed covering topics of AI Workflow Integration, Clinical Reporting, Medical Imaging, Clinical Natural Language Processing, Interoperability, Workflow Orchestration.  

2019 - 2021

Global Product Manager

Siemens Healthineers

Erlangen, Germany

  • Global Product Manager for AI-Rad Companion Chest X-ray - an AI-based Chest X-ray Diagnostic Aid - first of its kind within Siemens Healthineers (CE-marked under EU- MDR)

  • Product and portfolio management for AI-based Computer-Aided Detection, Diagnosis, and Triage Products (CAD e/x/t)

  • Experienced with Software as a Service (SaaS) business models

  • Hoshin-Kanri Ambassador - Supporting Productline Leadership with long-term Strategy Decisions. 

  • Engaging with cross-functional teams based in multiple locations worldwide 

  • Skilled at working collaboratively with customer engagement teams, marketing & sales, quality & regulatory teams

  • Steering clinical validation studies for submission to regulatory authorities. 

  • Seven patents filed covering topics of AI Workflow Integration, Clinical Reporting, Medical Imaging, Clinical Natural Language Processing, Interoperability, Workflow Orchestration.  

2017 - 2018

Research Scientist

German Center of Neurodegenerative Diseases

  • Lead efforts on deep learning for computational neuro-imaging with focus on image understanding, semantic segmentation and image reconstruction.

  • Built FastSurfer- a fast and extensively validated deep-learning pipeline for the fully automated processing of structural human brain MRIs.

  • Built FatSegNet - a novel, fast, and fully automated deep learning pipeline to accurately identify, segment, and quantify visceral and subcutaneous adipose tissue (VAT and SAT) within a consistent, anatomically defined abdominal region on Dixon MRI scans

Bonn, Germany

Education

2014 - 2017

Research Assistant

Chair for Computer Aided Medical Procedures and Augmented Reality

​

Prof. Nassir Navab

 

Technische Universität München

​

  • Graduated PhD in Computer Science with summa cum laude

  • Developed methods for fast and scalable semantic indexing retrieval within large-scale heterogeneous databases using Hashing

  • Investigated deep learning for exploring chest X-rays, breast histology images and neuron databases with relevance feedback

  • Developed classification, segmentation and domain adaptation methods for IVUS,  retinal OCT, breast histology, skin lesions etc.

  • Graduated with 10 MICCAI publications and 7 journals.

  • Guided 10 Master Thesis and taught courses on machine learning for medical imaging.

Munich, Germany

2012 - 2014

Graduated Master of Technology with specialization in Medical Imaging and Informatics - University Silver Medalist (Department Topper)

2008 - 2012

Graduated Bachelors in Engineering (Honors) with specialization in Electrical and Electronics Engineering - with Distinction

Competencies

AI / ML Expertise

  • Deep Learning and Computer Vision

  • Medical Image Computing including Computational Neuroimaging, Computational Cardiolog, Digital Pathology, X-ray Image Analysis, Image Reconstruction etc. 

  • Clinical Natural Language Processing 

  • Data Analytics and Visualization

​

Medical Devices

  • AI/ML Product Management of Computer Aided Detection / Diagnosis Devices

  • Requirements Engineering, Product Risk Management, Clinical Use Test, Usability Evaluation 

  • CE Marking - EU Medical Device Regulation, GSPR Requirements, FDA 510(k)

  • AI Benchmarking, Clinical Performance Assessment and Clinical Evaluation for Regulatory Clearance

  • Working knowledge of ISO 13485, IEC 62304, ISO 14971 and other medical SW development standards.

​

General Industry Knowledge

  • Requirements Engineering and Acceptance Testing (Behavior Driven Development)

  • Strategic Roadmaps and Portfolio Management

  • Cross-functional team leadership, coordination and alignment

  • Competition Analysis 

  • Patents including Intellectual Property Clearing

  • Scaled Agile Framework (SAFe)

  • Healthineers Performance System - Practitioner of Structured Problem Solving (A3s, Root Cause Analyses ) and Hoshin Kanri Planning

  • Design Thinking

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Tools and Technologies

  • Python - PyTorch, Pandas, OpenCV, NumPy, Scikit-Learn. 

  • MATLAB, Simulink

  • Microsoft Azure DevOps, Team Foundation Server

  • PowerBI

AI/ML PRM
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Awards and Recognition

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  • 2021: Among Top Inventors of Digital Health business line of Siemens Healthineers - 7 patents filed in FY 21. 

  • 2021: Awarded Siemens Healthineers Special Stock Rewards from the Management Board as a token of recognition for outstanding performance. 

  • 2021: Winner  - Best Business Pitch as part of Executive Education Program of Harvard Medical School in the course on Design and Implementing AI Solutions for Healthcare.   

  • 2021: Recognized by Siemens Healthineers Digital Health Management Team for steering and leading the product team through a successful Artificial Intelligence Audit. 

  • 2021: Recognized by Siemens Healthineers Digital Health Management Team for successful orchestration of long-term strategy workshop (Hoshin Kanri) for the product line. 

  • Team Member- AI-Rad Companion - nominated for NASSCOM Engineering & Innovation Excellence Awards 2021 under Next Gen Product of the Year. 

  • Team Member - AI-Rad Companion - won Siemens Healthineers Development Center Excellence Award, 2020. 

  • Team Member - AI-Rad Companion Chest CT received the 2020 R&D 100 Award and 2020 Market Disruptor Gold Award.

  • Co-author - Cover-page Article (and ISMRM Highlight) for work on Adipose Tissue Segmentation in International Journal on Magnetic Resonance in Medicine, 2020. 

  • Internationalization Grant from TUM Graduate School for attending MICCAI 2017, Quebec City, Canada.

  • Co-author - Runner-up - Young Investigator Award at MICCAI 2017 (12 out of over 850 submissions).

  • Best Paper Award in Medical Image Analysis at MICCAI 2016, Athens, Greece (1 out of over 800 
    submissions).

  • Runner-up - Young Scientist Award at MICCAI 2015 (13 out of over 800 submissions).

  • Awarded Shri Gopal Rajgahria International Student Fellowship for an exchange visit to Kharagpur Learning, Imaging and Visualization (KLIV) Group, Indian Institute of Technology Kharagpur, India

  • Won Synapse Prostate Cancer Dream Subchallenge 1b for best performing machine learning models to improve the prediction of survival and toxicity of docetaxel treatment in patients with metastatic castrate resistant prostate cancer (mCRPC), August 2015

  • Awarded Institute Silver Medal from Indian Institute of Technology Kharagpur, for best academic performance in Post Graduate Course in Medical Imaging and Informatics, July 2014.

  • Awarded Deutscher Akademischer Austauschdienst (DAAD) Scholarship to pursue Master's Thesis at 
    Chair for Computer Aided Medical Procedures & Augmented Reality, Fakultaet fuer Informatik, Technische Universität München, Germany from September 2013 to March 2014.

  • Awarded Ministry of Human Resources and Development, Government of India Scholarship for
    pursuing graduate studies in Medical Imaging and Informatics after qualifying Graduate Aptitude Test in Engineering. (Percentile: 99.81 % among 1,10,125 candidates.

  • Best Outgoing Student of the Year 2012 awarded by the Department of of Electrical and Electronics
    Engineering, BITS Pilani for Overall Excellence.

  • Finalist amongst 192 papers for the Best Student Paper Award at the IEEE EMBS BHI 2012, Shenzhen,
    China.

  • Awarded National Talent Search (NTS) Scholarship by National Council for Education, Research and Training (NCERT) for scholastic excellence in 2007.

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