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Machine Learning | Computer Vision I am currently a final year student at IIT Jodhpur and aim to apply AI-based technologies to practical use cases.
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Assessing your cultural and operational fit
Indian Institute of Technology Jodhpur
Machine Learning
June 13, 2026 – Present
GenerativeAgents
July 25, 2023 – July 27, 2023
Generative agents — computational software agents that simulate believable human behavior and OpenAI LLM models. Our main focus was to develop a game - “Werewolves of Miller’s Hollow”, aiming to replicate human-like behavior.
View ProjectSemantic-Segmentation-CV-Project
May 10, 2023 – May 12, 2024
This repository contains the code for Comparing Deep Learning and Classical Computer Vision for Semantic Segmentation: A comprehensive analysis of cutting-edge techniques and algorithms for precise object segmentation in computer vision tasks. This work was done under the Computer Vision course at IIT Jodhpur.
View ProjectMovie-Recommendation
August 15, 2022 – August 15, 2022
Experimented with recommendation models, collaborative as well as content based recommendation systems
View Project3d_Reconstruction_PRNet
July 24, 2022 – July 24, 2022
This repository contains code for the experimentation that I did to test the pre-trained model provided in PRNet.
View Project3D-Reconstruction
July 23, 2022 – July 24, 2022
Trying Various Algorithms related to 3d-reconstruction
View ProjectBitcoin-Price-Prediction
May 5, 2022 – May 5, 2022
Using Time Series Analysis to predict the future price of Bitcoin
View ProjectToxic-Comment-Classification
May 5, 2022 – May 5, 2022
NLP based classification pipeline for detecting toxic comments
View ProjectRetinal-Image-Analysis
May 5, 2022 – October 10, 2025
Image Segmentation and Classification for Medical Applications
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest and self-driven learning in Machine Learning, which aligns well with a Machine Learning role. The diversity of projects indicates a willingness to explore different problem domains within ML. However, the lack of team-based projects or professional experience beyond a single current role at an academic institution makes it difficult to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.