Resume

Professional Experience

2019 - Present

Global Product Manager

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

  • 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

  • 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 PathologyX-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

Tools and Technologies

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

  • MATLAB, Simulink

  • Microsoft Azure DevOps, Team Foundation Server

  • PowerBI

Awards and Recognition