Ph.D. student in Cog Sci @desa-lab, UCSD. Interested in human and machine vision.
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desa-lab
Data Scientist
June 19, 2026 – Present
vijayvee.github.io
August 23, 2023 – November 9, 2024
vijayvee.github.io — GitHub repository
View Projectbehavior_recognition
June 18, 2018 – August 20, 2018
For this project, I am developing an end-to-end trainable behavior recognition system using deep convolutional networks. This project is based on Inception 3D, the state-of-the-art in action recognition.
View Projectgilbert_contours
March 8, 2018 – August 22, 2022
Recreating psychophysics stimuli used in "Global Contour Saliency and Local Colinear Interactions"
View Projectnyu-hand
September 10, 2017 – December 18, 2017
Implementation of a deep network to recognize hand poses.
View Projectvideo-captioning
March 30, 2017 – October 12, 2019
This repository contains the code for a video captioning system inspired by Sequence to Sequence -- Video to Text. This system takes as input a video and generates a caption in English describing the video.
View ProjectCS231n_Assignment3
August 14, 2016 – August 14, 2016
This repository contains solutions for the third programming assignment from CS231n: Convolutional Neural Networks for Visual Recogntion.
View ProjectRecursive-neural-networks-TensorFlow
June 10, 2016 – April 2, 2018
Tensorflow based solution for Assignment-3 (Recursive Neural Nets) from CS224d: Deep learning for Natural Language Processing.
View ProjectCS224d_Assignment_2_Solutions
June 2, 2016 – June 2, 2016
CS224d_Assignment_2_Solutions — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic assignments and personal projects, indicating a strong interest in deep learning and computer vision. However, the lack of diverse project types (e.g., industry-specific applications, collaborative open-source contributions) and limited professional experience (one current role with no specified start date or skills) makes it difficult to fully assess cultural fit and adaptability to varied team environments. The target role is 'Data Scientist', and the projects align well with the technical aspects of this role, particularly in research-oriented or computer vision-focused data science positions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and there are no completed psychometric or English tests to provide insights into work attitude, stress handling, team collaboration, or communication clarity.