CV

Curriculum Vitae.

Basics

Experienced and interested in computer vision, medical imaging, and software development.

Work

  • 2023.03 - 2025.03
    Uni Bern Student Ambassador
    The MathWorks
    Supported MathWorks' outreach to the University of Bern, including organizing workshops and events for students and faculty. Engaged with the academic community to promote MATLAB and Simulink.
  • 2019.07 - 2021.10
    Product Manager - AI in Academia (Asia Pacific)
    The MathWorks
    Created and delivered AI content to academic audiences, adopted by 20+ universities. Presented at over 40 events across India.
  • 2014.11 - 2019.06
    Software Engineer - Image Processing and Computer Vision
    The MathWorks
    Enhanced MATLAB toolboxes with high-performance video and image processing features, including neuroimage file support and real-time object detection workflows.
  • 2013.02 - 2014.10
    Trainee - Engineering Development
    The MathWorks
    Improved accuracy in image processing metrics and mentored software testing intern.
  • 2012.10 - 2013.02
    Software Engineering Intern
    Vital Images Inc. (now Canon Medical)
    Contributed to 3D medical imaging GUI development for annotation features in Vitrea.
  • 2011.09 - 2012.10
    Research Assistant
    Center for Magnetic Resonance Research, University of Minnesota
    Worked on diffusion MRI acquisition and fiber distribution simulation using Camino and MATLAB.

Education

  • 2021.10 - 2025.10

    Bern, Switzerland

    PhD
    University of Bern
    Biomedical Engineering
    • AI for Automated QA in Radiotherapy
  • 2016.01 - 2020.01

    Atlanta, GA (Online)

    Master of Science (coursework only)
    Georgia Institute of Technology
    Computer Science
    • Computer Vision
    • Machine Learning
    • Reinforcement Learning
    • Software Architecture
  • 2010.09 - 2012.10

    Minneapolis, MN

    Master of Science
    University of Minnesota Twin Cities
    Electrical Engineering
    • Generalized CSA-ODF for Fiber Orientation Mapping
  • 2006.08 - 2010.05

    Surathkal, India

    Bachelor of Technology
    National Institute of Technology Karnataka
    Electrical Engineering
    • Device for Finger Mobilization in Tendon Treatment

Awards

  • 2025.05.01
    University of Bern Venture Fellowship 2025
    University of Bern Innovation Office
    One year fellowship to support the development of a startup project in the field of AI and radiation oncology. Skills - Entrepreneurship, business development, networking.
  • 2024.07.01
    Falling Walls Lab Winner, Western Switzerland
    Falling Walls Foundation
    Selected amongst six finalist pitches to attend the Falling Walls Science Summit in Berlin, November 2024. Skills - Elevator pitch for science, research communication, networking.
  • 2023.07.01
    2nd Place - Best Student Paper Award
    EMBC 2023
    Awarded amongst more than 10 shortlisted researchers worldwide for our work on ASTRA - radiotherapy quality assurance using dose predictions. Skills - Novel translational research, competitive scientific communication.
  • 2022.10.01
    MICCAI Hackathon Winner - Annotator/Data Uncertainty
    MICCAI 2022
    Won first place amongst six teams in the hackathon by developing methods for estimating annotation uncertainty in medical images. Skills - Rapid prototyping, presentation, analysis.

Talks

  • Fast and Reliable AI-based Dosimetric Contour Quality Assurance for Radiotherapy
    SASRO 2025 (Annual Meeting of Swiss Society for Radiation Oncology) • September 2025
    Invited talk presenting PhD thesis work on AI-based quality assurance for radiotherapy contours. 15-minute presentation during the Scientific Session on Clinic/AI at the 29th Annual SASRO Meeting in Davos.
    Event page
  • Breaking Walls with AI - Revolutionizing Radiotherapy Quality Control
    Falling Walls Science Summit 2024, Berlin • November 2024
    Selected as one of 100 "lab" pitches from 60+ countries. 3-minute pitch at the prestigious Falling Walls Science Summit commemorating the 35th anniversary of the fall of the Berlin Wall.
    Event page
  • Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor
    MIDL 2024 (Medical Imaging with Deep Learning) • July 2024
    Oral presentation (18% acceptance rate, 36/217 submissions) presenting comparative analysis of AI vs. clinical expert performance in radiotherapy dose prediction.
    Event page
  • Comparing Radiation Oncologists vs Deep Learning Dose Predictor
    University of Bern GCB Symposium 2024 • June 2024
    Full-talk presentation on comparative study between clinical experts and AI models in radiotherapy planning, demonstrating translational research bridging AI and clinical practice.
    Event page