Hi, I'm Bhavani Shankar Sasank Mukkamala. I'm a Software Developer with a strong foundation in AI, machine learning, and modern web technologies. I recently completed my Master’s in Computer Science from California State University, Los Angeles, where I currently work as a Research Assistant, contributing to projects involving intelligent systems and large-scale data solutions. Previously, I served as a Graduate Student Assistant in the ITS department at CSULA, where I supported over 500 users by resolving complex software, hardware, and network issues using tools like ServiceNow. My industry experience includes internships as a Machine Learning Engineer at Phoenix Global—where I improved NLP model accuracy and streamlined sentiment analysis pipelines—and as a Software Developer at DRDO, where I built Python-based tools for efficient data conversion and validation across large datasets. My technical experience is reinforced by hands-on projects like NeuralArt AI, an AI-powered art generation platform, and an AI Medical Chatbot that leverages LLMs and vector search to improve healthcare support. These projects combine my skills in backend development, cloud deployment, and machine learning. I’m driven by the challenge of building smart, scalable software that’s not only functional but optimized for performance and real-world impact. I continuously seek opportunities to grow, innovate, and make meaningful contributions through technology.…Hi, I'm Bhavani Shankar Sasank Mukkamala. I'm a Software Developer with a strong foundation in AI, machine learning, and modern web technologies. I recently completed my Master’s in Computer Science from California State University, Los Angeles, where I currently work as a Research Assistant, contributing to projects involving intelligent systems and large-scale data solutions. Previously, I served as a Graduate Student Assistant in the ITS department at CSULA, where I supported over 500 users by resolving complex software, hardware, and network issues using tools like ServiceNow. My industry experience includes internships as a Machine Learning Engineer at Phoenix Global—where I improved NLP model accuracy and streamlined sentiment analysis pipelines—and as a Software Developer at DRDO, where I built Python-based tools for efficient data conversion and validation across large datasets. My technical experience is reinforced by hands-on projects like NeuralArt AI, an AI-powered art generation platform, and an AI Medical Chatbot that leverages LLMs and vector search to improve healthcare support. These projects combine my skills in backend development, cloud deployment, and machine learning. I’m driven by the challenge of building smart, scalable software that’s not only functional but optimized for performance and real-world impact. I continuously seek opportunities to grow, innovate, and make meaningful contributions through technology.WWWW…