Undergraduate Researcher in IIIT Hyderabad studying CSE and pursuing a masters in Computational Humanities
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SMAI-Assignments
June 13, 2023 – June 13, 2023
Assignments done as part of the course "Statistical Methods in AI" in IIIT Hyderabad. It includes mini projects related to fundamental ML concepts such as regression/classification/PCA as well as work done in Deep learning by utilizing neural networks such as CNN's, MLP's and the like.
View Projectfilm-barcode
May 21, 2023 – June 13, 2023
This repository contains film barcodes for Wong Kar Wai's films as processed using the KALMUS python package
View ProjectHonours_Project2
May 15, 2023 – May 17, 2023
Honours Project done as part of the Spring 2023 Semester in IIIT Hyderabad
View Projectxv6
May 7, 2023 – May 7, 2023
Modified version of the xv6 operating system as part of a mini project in the Operating systems and networks course (OSN) in IIIT Hyderabad
View ProjectDataSystemsSlides
April 17, 2023 – April 17, 2023
Repository for the Data Systems Course in IIIT Hyderabad
View ProjectAdversarial-Neural-Cryptography
April 7, 2023 – April 8, 2024
This repository contains the code for the project based on Adversarial Neural Cryptography implemented in PyTorch framework as part of the SMAI course offered at IIIT Hyderabad (Spring 2023)
View Projectxv6
October 10, 2022 – May 7, 2023
Modified the Xv6 operating system as part of a mini project in the Operating systems and networks (OSN) course in IIIT Hyderabad
View Projectaadproject
November 30, 2021 – May 17, 2023
Collection of Infographic Posters made as part of the Algorithm Analysis and Design (AAD) course in IIIT Hyderabad
View ProjectBITCOIN_DSA_MiniProject
April 22, 2021 – May 10, 2021
This is the repository for group 9 of the Data Structures and Algorithms MiniProject for the UG1 students of IIIT Hyderabad during the year 2020-21. Our topic is V. BITCOIN.
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic and personal, indicating a strong interest in foundational computer science and AI/ML. The diversity of projects (OS, DSA, ML, Deep Learning) suggests a broad technical curiosity. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit beyond academic collaboration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.