Curriculum Vitae
I am a PhD researcher in AI for computational pathology at the University of Amsterdam and the Netherlands Cancer Institute. This page is a short version. The PDF has the rest.
Education
PhD Candidate, Artificial Intelligence
Sep 2021 – PresentUniversity of Amsterdam · ICAI AI for Oncology Lab
Deep representation learning on histopathology images to assess risk of recurrence in breast and ovarian cancers.
MS by Research, Electrical Engineering
Jul 2019 – Aug 2021Indian Institute of Technology Delhi · GPA 9.0/10
Major in deep learning for computer vision.
BE, Electronics & Communication Engineering
Jul 2014 – Jul 2018Nitte University, Karnataka · GPA 8.03/10
Major in signal processing, information theory, and digital communication systems.
Experience
PhD Candidate
Sep 2021 – PresentThe Netherlands Cancer Institute
I build deep-learning models with pathologists to test clinical hypotheses in breast and ovarian cancer histopathology. The work covers biomarker quantification and survival modeling.
AI Advisor (product development)
Nov 2025 – PresentDiligent Global
I advise the product team on AI methods, from whether an idea is feasible to how it shows up in the product.
Consultant (computer vision)
Nov 2020 – Mar 2021Rayreach Technologies
Built deep-learning models to identify personal protective equipment and face masks on factory floors.
R&D Engineer
Aug 2018 – Nov 2018Skanray Healthcare
Designed hardware and firmware for power delivery, sensory acquisition, and pneumatic actuation of a turbine-based critical care ventilator.
Selected projects
Dundi: AI assistant for Sanskrit scripture study
A chat tool for studying the Upanishads, the Bhagavad Gita, and the Brahma Sutras. It retrieves verse-keyed commentaries. It is in production, with a few hundred active users.
AutoComply: ingredient compliance intelligence
A B2B tool that checks whether a cosmetic ingredient is allowed in the EU, India, and the US. Official regulation is the source of truth for the model outputs.
itsper: intra-tumoral stroma percentage computer
A command-line tool that computes the tumor-stroma ratio from tissue segmentations. I built it at the AI for Oncology lab.
Chaos: Lorenz attractor watch face for Watchy (ESP32)
A real-time 3D Lorenz attractor rendered on e-ink. The Watchy team accepted it and put it in the official gallery. The animation on this homepage is the same simulation.