Hrishikesh Kamath Website


I currently work at Ederlabs on privacy preserving Machine learning (PPML).

My interests are in Machine Learning , Privacy Preserving Machine Learning (PPML) and Software Engineering. In PPML , I am specifically interested in Differential Privacy , Federated Learning and Trusted Execution Environments (TEE's).

Available on Twitter as kamathhrishi and on LinkedIn.

I would like to write Blogposts


Experience

Privacy AI Engineer , Ederlabs (October 2020-Present)

Worked on privacy preserving machine learning using Trusted Execution Environment(TEE) Intel SGX.

Intern , Ederlabs (January 2020-September 2020)

Worked on Differential Privacy and Intel SGX

Freelance Web Developer (July-October 2018)

Worked on two frontend projects for two clients using AngularJS and Bootstrap4.


Open Source Contributions

PySyft

“A library for answering questions using data you cannot see”
A framework for privacy-preserving deep learning using Pytorch and Tensorflow.
I worked on Pytorch development. Part of the Core team Contributed to Core PySyft Team

The experience helped me learn a lot of software engineering practices such as unit tests, code reviews, Git, writing clean and documented code.

Deepgaze

Computer Vision library for human-computer interaction in Python

I have refactored certain parts of the library for improved usability and wrote test cases to ensure accurate functionality. Ported library to Python 3.0.


Some Projects I am proud of

For complete list of projects feel free to check my Github Profile.

Privacy Preserving Pandas
Coming Soon

Indoor Scene Recognition with Visual Attributes

Weakly Supervised Street View Text Detection

Animals with Attributes
Supervised Learning

Zero Shot Learning


Contact

Contact me on kamathhrishi [at] gmail