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.
- 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
- Understanding deep learning requires rethinking generalization
- Opening the Black Box of Deep Neural Networks via Information
- Statistical Modeling: The Two Cultures
- Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?
- How transferable are features in deep neural networks?
- On the Measure of Intelligence