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Hi there πŸ‘‹

I am Rushikesh B. Zawar I am a student pursuing Masters in Computer Vision at Carnegie Mellon University (CMU) (2023-2024). I have previously completed Bachelor's in Computer Science and a Master's in Biological Sciences at BITS Pilani, Pilani Campus, India and partly at Harvard University.

I am actively looking for internship opportunities!

Experience:

I have worked on Deepfake detection from GANs, Diffusion, Faceswap,etc methods and developed a novel a diffusion based detector and also deployed some models used in production at a startup.

I also work on Continual Learning in Computer Vision at Harvard University.

I previously worked on fraud detection as an Applied Scientist at Amazon.

My work at Massachusetts Institute of Technology (MIT) involved building a personalized assisted learning system.

My work at CSIR-CEERI involved developing a robust system that detect anomalies in unbalanced data scenarios using GANs

I have also worked at Tata Institute of Fundamental Research, Mumbai (TIFR) on the cake-cutting and fair resource allocation problem.

Others:

I received admissions from Harvard University and CMU to pursue my graduate studies

I have been selected as a Khorana Scholar in 2020. I was recently selected for the program of CMMRS 2021- SaarbrΓΌcken(Germany) and also for ILDP+ start program at Hiroshima University.

Contact: Linkedin, Gmail, BITS_email

Rushikesh Zawar's Projects

anogan-pytorch icon anogan-pytorch

Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"

computer-networks icon computer-networks

The repository contains lab work done as a part of Computer Networks course at BITS Pilani

dl_sys icon dl_sys

Project for Deep Learning Systems

h-baselines icon h-baselines

A repository of high-performing hierarchical reinforcement learning models and algorithms.

icarus_verilog icon icarus_verilog

This repo contains code snippets written in verilog as part of course Computer Architecture of my university curriculum

nl-augmenter icon nl-augmenter

NL-Augmenter 🦎 β†’ 🐍 A Collaborative Repository of Natural Language Transformations

plrpim icon plrpim

Prediction of lncRNA-protein interaction

practical--rl icon practical--rl

My coding solutions of Pratical Reinforcement Learning by HSE via Coursera

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