I’m a Data Scientist at Sentinel where I help governments and organizations defend against deep fakes and information warfare by developing intelligent systems and architectures to automatically detect AI generated and manipulated media.

Previously, I have had the good fortune of working with Dr.Brandie Nonnecke at UC Berkeley at the intersection of machine learning and social network analysis. I have also spent time as a research intern at Nvidia and IIT Kharagpur.

If you’re starting your journey in machine learning, check this roadmap I maintain.

Check out places I’ve worked at here

When I don’t </>, I write snippets.

Research Interests

  • Generative Modeling
  • Image Synthesis and Image Translation
  • Computer Vision
  • Representation Learning
  • Semi supervised and self supervised learning


  • Delivered a talk at PyData Berlin on deepfakes
  • Started working at Sentinel as a Data Scientist
  • Joined Nvidia as a research intern (Jan 2020 - June 2020)
  • Delivered a talk at PyCon Taiwan'19 on ‘Probabilistic Programming using TensorFlow Probability’
  • Won ‘Best Social Hack’ at LA Hacks 2019 hosted by UCLA (Major League Hacking)
  • Won the 2nd Runners-up award at San Francisco (SF) Hacks 2019 (Major League Hacking)
  • Won ‘Best Utility Hack’ at DeveloperWeek Hackathon 2019 (America’s largest challenge driven hackathon)


  • Alternative rock and pizza junkie
  • I like to think I play the guitar pretty fly and speak German fluently
  • Always up for a game of football (on TV or if you want to play FIFA!)
  • Will we ever answer ‘The Last Question’? - Perhaps not, but it’s definitely worth pursuing. “Break the cycle, Morty. Rise above. Focus on Science.”

Here are some research papers that I have really enjoyed reading