Ph.D. Research Scholar in Computer Science & Engineering at IIT
Kharagpur, working under the supervision of Prof. Sudip Misra. I
Hold M.Sc. in Computer Science from Banaras Hindu University and
B.Sc. (Honours) in Computer Science from Visva-Bharati University.
My research interest lie in computer science, with a strong focus
on developing innovative solutions to challenging problems. I am
passionate about research, problem-solving and continuous learning
and I enjoy exploring emerging technologies and contributing to
impactful academic work.
Artificial Intelligence, Machine Learning, Neural Networks, Text Mining
Python, C/C++, Java, Git/GitHub, SQL, MATLAB
pandas, numpy, scikit-learn, NLTK, OpenCV, matplotlib, seaborn
HTML5, CSS, JavaScript, PHP
VS Code, PyCharm, IntelliJ IDEA, Eclipse, Jupyter, Google Colab, Anaconda
Linux, Windows
Skills: R, Algebra, Statistics, Optimization, Regression, Classification, Clustering
Skills: Fuzzy Logic, Fuzzy Systems, ANN, Genetic Algorithms
Skills: Python, Data Structures, Algorithms
Skills: C++, OOPs
Skills: Python, OPPs, Data Structures, Regular Expressions, Problem Solving
Skills: Version-control, Git, GitHub
Skills: Web-design, HTML5, CSS
Developed RecSumm, a recursive NLP Frame work for summarizing long legal documents using BART/DistilBART. By recursively processing lengthy texts, the model preserves context while generating accurate and coherent summaries, outperforming leading LLMs and legal-specific models on ROUGE and BLANC evaluation metrics.
This project focuses on evaluating six abstractive summarization models (Seq2Seq with Attention, BERTSUMABS, BART, T5, PEGASUS, XLNet) on benchmark datasets (CNN/DailyMail, XSum, Gigaword). The models were analyzed using ROUGE and BLEU metrics to measure fluency, coherence, and content accuracy.
This project involves Natural Language Processing (NLP) to perform sentiment analysis by classifying tweets as positive or negative. Machine learning models are employed for classification, with additional focus on text mining, text analysis, data analysis, and data visualization.
