Financial Markets

Member

Bachelor of Engineering (B.E.)

CBSE-XII

Master's degree

Research Engineer

Currently evaluating reinforcement learning methods for hardware Security under Dr. Satwik Patnaik.

Graduate Student Researcher

Worked on backend development and DevOps of Eder's Confidential Data Exploration Sandbox.

Software Engineer

Worked with the Computational Research and Programming Lab (CRPL Lab). Published a poster at DARWIN symposium on inference time of various drug response models. Also briefly worked on LLMs for code generation.

Student Researcher

[Note: This is not a Full time paid Experience]

A core member of the OpenMined Secure Multi-Party Computation Team and PySyft. 

PySyft is one of most popular and most used framework for privacy preserving analytics and machine learning. 
I was a core member who reviewed pull requests, fixed bugs, and develop features for the repository. 
I was fortunate to also be acknowledged in the original paper of PySyft. 

My most notable contributions were to the the SyMPC library which allows users to train encrypted Neural Networks using Secure Multi-Party Computation (MPC) protocols using PyTorch.

Wrote implementation of few operations from the paper: "FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning". It was the first ever implementation of the paper in Python.

Core Developer (Secure Multi Party Computation and PySyft) 

Worked on developing a platform for privacy-preserving machine learning using Trusted Execution Environment (TEE) Intel SGX.

Software Engineer Intern

-Analyzed AXA's social media posts using matplotlib, pandas, NLTK and sklearn to derive insights on public opinion of the company 
-Reviewed conversational agents for possible use in service industry

Intern

I worked on PySyft 0.2.x
PySyft is a framework for privacy-preserving deep learning using Pytorch and Tensorflow. 

"A library for answering questions using data you cannot see"

I worked on Pytorch development.

Part of the Core team

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

-Wrote use cases of Federated Learning for developing Word Embeddings from Private Data  and demonstration on CIFAR10 
-Wrote an implementation of Differential Privacy method Private Aggregation of Teacher Ensembles (PATE) 
- Tried working on Polynomial Tensor for non-linear computation in multiparty computation (MPC) setting. The method approximated non-linear computation using interpolation/Taylor series methods. Could not integrate it as part of Syft chain of tensors. 
- Refactored data loaders and federated dataset and wrote a tutorial on developing custom federated datasets
- Type annotated the codebase a

Open Source Developer

Worked on two frontend web development projects for two clients using AngularJS and Bootstrap 4 

Web Developer

OOOOjOOOO is a Science, Technology, Engineering and Math (STEM) organization. We foster STEM interest and fluency worldwide by producing online content and learning experiences for self-learners, and educational materials for educators of secondary-ed students.

I learned the art of general science communication.  With the use of its principles I developed the content, mostly in commercial space. Further , I planned and developed various outreaches. 

Summer Research Engineer at mbd.xyz | Seeking New Grad Machine Learning Engineer, Data Scientist or Software Engineer ro

Know about Hrishikesh Kamath's work experience, education, bootcamps, certifications, and much more. Hrishikesh Kamath