Tathagata Banerjee

Investigating and experimenting with Quantum Natural Language Processing (QNLP) techniques, focusing on text classification and ambiguity resolution using quantum and hybrid quantum-classical models. Actively writing the paper on the investigation to be published in any reputed journal or IEEE conference. Delivered structured sessions on Python, advanced Deep Learning concepts, basic transformers and QNLP basics covering categorical compositional models, tensor networks, and quantum circuit-based text encoding. Guided interns and junior researchers through hands-on implementations of hybrid quantum-classical NLP pipelines and evaluation methodologies. Collaborating closely with mentors and cross-functional teams to benchmark experimental datasets and validate research outcomes. Used basic Rust code for an experimental project. Built a binary sentiment classifier for Twitter data by fine-tuning the advanced transformer model DistilBERT, demonstrating strong proficiency in NLP and modern deep learning techniques. Successfully replicated a Quantum NLP text classification model, demonstrating the ability to implement hybrid quantum-classical pipelines and evaluate model performance effectively. Received commendation from mentors for acceptance of a submitted survey paper for poster presentation in IIT Patna IEEE conference on QNLP.

Played a key role in developing a hybrid machine learning solution to classify incoming comments from Dell Forms into four categories: Inbound Sales, Small Business, Support, and Spam. Worked on a multi-stage classification pipeline that combined rule-based filtering for accurate spam detection with advanced deep learning models including BERT and DistilBERT to classify Sales and Support queries with high precision. Integrated the ML models with rule-based logic to ensure robust final classification and improve lead routing efficiency, enhancing customer experience & operational workflow. Collaborated with cross-functional teams to deploy the solution within existing systems, demonstrating practical expertise in NLP model application, data preprocessing, and real-world ML integration. Developed an NLP script leveraging HuggingFace & Tensorflow to automatically generate relevant metadata and tags for AEM DAM assets based on content titles and descriptions, improving asset discoverability and management. Built and maintained enterprise AEM solutions including custom components, templates, OSGi services, servlets, and backend integrations. Designed and developed AEM Forms for lead generation with API-based validation and workflow automation; optimized caching and reduced load times by 40%. Developed backend microservices using SpringBoot for scalable data processing and content delivery systems. Owned CI/CD pipelines (GitLab YAML) and Python/Selenium automation frameworks supporting continuous integration. Acted as Security Champion performed vulnerability assessments and collaborated with security teams to drive mitigation strategies. Led API testing (Postman, RestAssured) and contributed to reliability, monitoring, and regression automation efforts.

Built and maintained enterprise AEM solutions including custom components, templates, OSGi services, servlets, and backend integrations. Designed and developed AEM Forms for lead generation with API-based validation and workflow automation; optimized caching and reduced load times by 40%. Developed backend microservices using SpringBoot for scalable data processing and content delivery systems. Owned CI/CD pipelines (GitLab YAML) and Python/Selenium automation frameworks supporting continuous integration. Acted as Security Champion performed vulnerability assessments and collaborated with security teams to drive mitigation strategies. Led API testing (Postman, RestAssured) and contributed to reliability, monitoring, and regression automation efforts.

Built and maintained enterprise AEM solutions including custom components, templates, OSGi services, servlets, and backend integrations. Designed and developed AEM Forms for lead generation with API-based validation and workflow automation; optimized caching and reduced load times by 40%. Developed backend microservices using SpringBoot for scalable data processing and content delivery systems. Owned CI/CD pipelines (GitLab YAML) and Python/Selenium automation frameworks supporting continuous integration. Acted as Security Champion performed vulnerability assessments and collaborated with security teams to drive mitigation strategies. Led API testing (Postman, RestAssured) and contributed to reliability, monitoring, and regression automation efforts.

Developed AEM components and workflows supporting multi-site content delivery and global navigation features. Managed AEM Assets (DAM) lifecycle including metadata handling, rollout, and publishing workflows across author-publish setups. Built automation scripts using Selenium/Cucumber and contributed to test planning, documentation, and quality engineering for mission-critical applications.