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among-llms
August 8, 2025 – September 21, 2025
You are the only impostor. One wrong word and they'll tear you apart.
View Projectchampsim-data-extraction
May 30, 2022 – May 30, 2022
A ChampSim's data extraction API written for extracting the behavioural data from any prefetcher operating at any cache-level, for training machine-learning models
View Projectdeep-video-interpolation
April 3, 2022 – November 16, 2022
Course project for CS763 + CS764 (Computer Vision + Lab) which builds upon the paper "Video Frame Interpolation via Adaptive Separable Convolution" for real-time scenarios
View Projectbuild-your-own-prefetcher
January 12, 2022 – February 2, 2022
This repository is meant to be a guide for building your own prefetcher for CPU caches and evaluating it, using ChampSim simulator
View Projectseam-carving
November 9, 2021 – November 21, 2021
Python implementation of "Seam Carving for Content-Aware Image Resizing" paper
View Projectdeep-vision
July 4, 2021 – August 5, 2021
Computer-Vision related research papers implemented using PyTorch
View Projectq-fetcher
June 16, 2021 – August 6, 2021
An experimental prototype of a reinforcement-learning based CPU cache prefetcher
View Projectsf2net
May 2, 2021 – May 14, 2021
Speech Frame Filtering for Effective Speech Enhancement (Course project for CS753: Automatic Speech Recognition)
View Projectkaggle-simulations-lab
March 17, 2021 – April 24, 2021
GUI-based application allowing for experimentation with a wide variety of Reinforcement-Learning agents for Kaggle Simulations competitions
View Projectcli-reader
October 24, 2020 – November 17, 2020
An interactive command-line reader for reading light novels online
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards research, complex problem-solving, and independent work, particularly in areas like machine learning, computer vision, and system architecture. While these skills are valuable, the target role is 'Frontend Developer', which is not directly aligned with the majority of the projects. This suggests a potential mismatch in primary interest areas, though the ability to learn new technologies is implied by the project diversity. The candidate's experience level is 0, indicating a junior profile.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a strong interest in technical challenges and self-directed learning.