Researcher | Learner - NLP, Deep Learning applications, and everything in between.
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LLMs-on-Bengali-FoS-Identification
August 25, 2025 – November 22, 2025
This work BengFoS, the first Bengali Figures of Speech (FoS) dataset with extensive experiments, LLM probing, and interpretability, to show that even the fine-tuned LLMs with internal deep layer representations perform subpar in identifying Bengali FoS from literary pieces.
View ProjectAcKnowledge---KnowledgeLM-ACL-2024
July 3, 2024 – August 15, 2024
Accepted Paper at ACL 2024 Workshop on Towards Knowledgeable Language Models
View ProjectThird-NLP4DH-IWCLUL-2023
May 29, 2024 – May 29, 2024
Published Paper at the Joint 3rd International Conference on Natural Language Processing for Digital Humanities & 8th International Workshop on Computational Linguistics for Uralic Languages (NLP4DH & IWCLUL 2023)
View ProjectLLM-Evaluation-Dashboard
February 23, 2024 – February 23, 2024
A Visual Dashboard for Fundamental Benchmarking of LLMs
View ProjectKTrain-BERT-for-Hate-Speech-Detection-FIRE-2021-
November 19, 2022 – November 26, 2024
Probabilistic Impact Score Generation using Ktrain-BERT to Identify Hate Words from Twitter Discussions
View ProjectCovinfo-India
July 5, 2021 – July 8, 2021
Web-Based Covid-19 Data Analytics and Visualization using Python and HTML-CSS Framework - An Undergraduate (Computer Science & Engineering) Final Semester Project to Track the Covid-19 Second Wave and Vaccination Information in India (and Kolkata).
View ProjectCovid-19-Predictive-Analysis
May 8, 2021 – May 9, 2021
Predicting the pandemic: sentiment evaluation and predictive analysis from large-scale tweets on Covid‐19 by deep convolutional neural network
View ProjectSentiment-classification-with-GST-tweet-data-on-LSTM-based-on-polarity-popularity-model
May 31, 2020 – June 15, 2020
A full-scale framework for determining the polarity-popularity occurrence order of words extracted from tweets, based on a large scale economic reform.
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong interest in research and academic contributions, particularly in NLP and LLMs. This aligns well with roles requiring innovation and deep technical exploration. However, the projects are predominantly personal/academic, and there is no information on professional experience or team collaboration, making a comprehensive cultural fit assessment challenging. The focus on research might indicate a preference for individual contribution over team-based product development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects and lacks information on collaboration, problem-solving approaches, or communication styles.