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B.Tech, Computer Science and Engineering, IIT Bombay
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Assessing your cultural and operational fit
Algebraic-Reconstruction-Technique---MIC
April 11, 2019 – June 29, 2019
Course Project for Medical Image Processing : Algebraic Reconstruction Technique for MRI
View ProjectAdversarial-Pose-Estimation
March 13, 2019 – July 21, 2023
A PyTorch implementation of the paper 'Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation' (https://arxiv.org/pdf/1705.00389v2.pdf)
View ProjectSafe-RL-Pacman
November 23, 2018 – November 25, 2018
Reinforcement Learning Course Project - IIT Bombay Fall 2018
View ProjectImage-Quilting-and-Texture-Synthesis
October 24, 2018 – November 24, 2018
Digital Image Processing Course Project - IIT Bombay Fall 2018
View ProjectDIP-Assignment-CS-663
August 2, 2018 – November 16, 2018
Contains all the assignments related to Digital Image Processing
View Projectobjects-that-sound
March 15, 2018 – May 7, 2018
Unofficial Implementation of Google Deepmind's paper `Objects that Sound`
View ProjectCrop-Disease-Detection
December 20, 2017 – August 17, 2018
Used a modified AlexNet architecture for classification of 38 classes of healthy and diseased crops.
View ProjectAndroid-Social-Network-App
October 3, 2017 – October 12, 2017
A basic social networking app which allows users to post images and text and comment on posts. The app was made in Android and was done as a part of an assignment in DataBase Systems Lab.
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic or personal, indicating a strong interest in learning and applying theoretical concepts. The diversity of projects across computer vision, reinforcement learning, and even a compiler suggests a broad technical curiosity. However, without information on team-based projects or professional experience, it's difficult to assess cultural fit in a collaborative work environment. The projects align well with a research-oriented or technically deep Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.