🌐 Researcher | Software Engineer | NLP EnthusiastI'm an experienced software engineer and researcher specializing in Natural Language Processing (NLP), with a focus on contextualized dynamic embeddings for event-based mental health tracking. My work aims to leverage machine learning to develop adaptive, real-time NLP models that can track mental health trends through contextual insights. My technical journey includes experience with a variety of programming frameworks and tools like Python, Node.js, React, and databases such as MySQL and MongoDB.🚀 Professional ExperienceAs a Software Engineer, I’ve contributed to critical projects, such as developing an ERP system for the marble and granite industry, and creating the CCIS Online Admission System for the Bangladesh Army. My work spans backend architecture, team coordination, and the implementation of robust, user-friendly solutions that enhance operational efficiency and user experience.🎓 Academic BackgroundI hold a Bachelor of Science in Computer Science & Engineering from American International University-Bangladesh, where my passion for machine learning, AI, and HCI was ignited and nurtured. As a published author in machine learning applications, my research also covers predictive analytics for health-related outcomes, specifically post-COVID complications, showcasing my dedication to using technology to address real-world challenges.🔍 Current ResearchI am actively conducting research on dynamic embeddings within NLP to enhance event-based tracking mechanisms in mental health contexts. By refining how NLP models interpret and adjust to context dynamically, I aim to contribute valuable insights to the growing field of mental health technology.I’m excited to connect with fellow researchers, professionals, and organizations interested in NLP, AI, and mental health innovation. Let’s connect!