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malayjoshi13.github.io
December 6, 2023 – March 16, 2024
My personal portfolio website made using website template forked from mmistakes/minimal-mistakes.
View ProjectNeuralMachineTranslator
December 3, 2023 – December 14, 2023
Neural Machine Translator (NMT) using Transformer-based Pretrained Language Models
View ProjectUnderstanding-Transformer
November 24, 2023 – December 3, 2023
Implementation of Vanilla Transformer from scratch and using it as a Machine Translator for understanding it's architecture, training pipeline and inference pipeline.
View ProjectPehchaan
July 15, 2022 – December 19, 2023
Pehchaan is a one-shot labeling tool to auto-label photographs by identifying name of the person(s) present in them.
View ProjectGSoC2022_OligoFinder
June 29, 2022 – September 21, 2022
OligoFinder: RegEx and Machine Learning based system for finding and extracting Oligonucleotides mentions from biomedical research papers
View ProjectFind_Puzzle_Pair
December 26, 2021 – December 27, 2021
Find_Puzzle_Pair is Computer vision and Deep learning based pair finder which by using Siamese neural network find partner of a given puzzle piece that could fit with it.
View ProjectShortRead
December 25, 2021 – December 26, 2021
ShortRead is a Natural Language Processing based text summarizer which uses extraction technique to generate summary of a Wikipedia page (https://en.wikipedia.org/wiki/Thomas_Edison).
View ProjectTalkingHand
February 13, 2021 – December 27, 2023
TalkingHand is a Computer Vision and Deep Learning-based Sign Language to Text conversion system which with the help of fine-tuned convolutional neural network of VGG16, classifies and converts the hand gestures made by the user into corresponding text-based labels.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong interest in personal projects related to Data Science and Machine Learning, which aligns with a proactive and self-driven culture. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural fit. The projects are diverse within the ML/AI domain, showing breadth of interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear and concise, indicating good written communication.