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Robotics | Computer Vision | Research Fellow at Stanford University - School of Medicine
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Assessing your cultural and operational fit
Stanford University
Data Scientist
June 17, 2026 – Present
iit-guwahati-pytorch-talk
June 22, 2025 – June 22, 2025
iit-guwahati-pytorch-talk — GitHub repository
View Projectdsce-guest-lecture-fdp
March 25, 2024 – March 26, 2024
dsce-guest-lecture-fdp — GitHub repository
View Projectimage-to-dna-engine
June 18, 2023 – June 18, 2023
image-to-dna-engine — GitHub repository
View Projectrtdetr-pytorch
June 6, 2023 – June 22, 2023
This repository provides a PyTorch implementation of RT-DeTR, a state-of-the-art Realtime Detection Transformer for object detection tasks.
View Projectquantum-gates
May 27, 2023 – September 5, 2024
This repository provides comprehensive implementations of the fundamental gates used in quantum computing.
View Projectresnet-model
May 23, 2023 – June 1, 2023
This repository contains various PyTorch implementations of the well-known ResNet image classification model.
View ProjectTodo-Flutter-App
March 1, 2021 – March 10, 2021
A simple app to get your daily life together
View ProjectEye-Gaze-Tracker
August 6, 2020 – June 6, 2021
Eye Gaze Tracker is an OpenCV based application that determines the eye movement of the person sitting in-front of the webcam.
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a passion for learning new technologies, which could indicate a good cultural fit for an innovative environment. However, the projects are predominantly academic/research-oriented, and there's limited information on collaborative work or diverse project types beyond personal exploration. The single listed experience at Stanford University as a Data Scientist is current, but no details are provided about responsibilities or achievements, making it difficult to fully assess cultural fit based on professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.