About me


I am currently a computer vision engineer at Unitary where I build computer vision models to ensure safe media content online.

Previously, I was research assistant in verification of deep learning working on distributional robustness to semantic perturbations at University of Oxford. You can read our paper here.

I also worked as a data scientist at Visulytix for almost 2 years working on developing and building deep learning models for healthcare.

During my MSc in Neurotechnology at Imperial College London, I was part of Dr. Anil Bharath's BICV group, working on 3D unsupervised deep learning models.

My main interests are in AI safety & explainability, unsupervised learning, and the underlying mechanisms of creativity, artificial or not :).

CV

Projects


Project Title

2D & 3D Autoencoder

As part of my MSc Thesis, I trained a 3D autoencoder to learn deep representations of the MRI data.

Github Repo

Project Title

WGAN-GP on MRI images

Generated MRI images using a generative adversarial model. Further info here.

Github Repo

Project Title

Fun Stuff with GANs

This is an ongoing personal project, where I basically have some fun applying latest GANs.

Coming soon...

Project Title

3D Fractal Forest Project

I modelled a 3D fractal phantom to resemble vasculature in wave experiments.

Coming soon...

Background


  • May 2020
    -
    ongoing

    Unitary

    Computer Vision Engineer

    Building computer vision models to detect undesirable content in images and videos.

  • Dec 2019
    -
    Mar 2020

    University of Oxford

    Researcher in Deep Learning

    Working on exploring distributional robustness to generated semantic perturbations using GANs.

  • 2019
    -
    2017

    Visulytix

    Data Scientist

    Building & implementing state-of-the-art deep learning models for 3D retinal imagery.

  • 2017
    -
    2016

    Imperial College London

    Research Project

    Trained a 2D and 3D autoencoder to learn deep representations of the MRI data. Masters Thesis here.

  • 2016
    -
    2016

    King's College London

    Research Assistant

    Designed a 3D network of fractal trees in C++ for MagneticResonance Elastography experiments to model arterial branching.

Education


  • 2017
    -
    2016

    Imperial College London

    MSc Bioengineering with Neurotechnology

    Research Thesis: “Training unsupervised deep learning algorithmson 2D and 3D medical data”.

  • 2016
    -
    2013

    King's College London

    BEng Biomedical Engineering

    Research project: “Inferring micro-structural information frommacroscopic elastic parameters determined from shear wavescattering in fractal-like media”.

  • 2013
    -
    2009

    Mihai Viteazul National College

    High School Degree

    National Baccalaureate Diploma: 97.3% Overall, including Mathematics and Physics.