I am a computer engineering professional with a strong foundation in both education and practical experience. I completed my Master of Science in Computer Engineering from the University of Texas at Dallas, where I honed my skills in various programming languages such as Python and C++, and gained expertise in statistical analysis, machine learning, and data manipulation.Prior to that, I earned my Bachelor of Technology in Computer Science from U.I.E.T Kurukshetra University in India. In terms of experience, I had the privilege of interning as a Software Developer at Ciena in San Jose, CA, where I contributed to the development of a user-friendly dashboard for the PD team. This project not only improved project information access but also facilitated collaboration across teams. I efficiently utilized tools like Python, Git, and various data visualization libraries to extract, organize, and analyze data. My experience at Ciena taught me the importance of cross-functional collaboration, understanding stakeholders' needs, and delivering effective solutions.Additionally, I had the opportunity to work as a Machine Learning Intern at Xccelerata in Delhi, India. During this time, I Worked on a comprehensive automated system to achieve compliance with data validation, while saving time, reducing human error, and automatically generating required IPAC("Infection Prevention and Control.) reports for meeting all of client’s sterilization monitoring and compliance needs contributed to the development of anautomated system called SterilWize, implementing machine learning and AI algorithms to achieve compliance and enhance efficiency. This experience reinforced my skills in data analysis, algorithm development, machine learning and collaboration with domain experts.Furthermore, my projects showcase my practical application of skills. For instance, I developed a Drowsy Driver Alert System using Python and various frameworks like Keras, OpenCV, and TensorFlow. This project demonstrated my ability to address real- world problems using technology. I also worked on a Sentiment Analysis Model for agriculture, highlighting my commitment to leveraging technology for social impact and real-time feedback.Overall, my education and experience have equipped me with a strong foundation in computer engineering, programming languages, machine learning, and data analysis. I am enthusiastic about contributing my skills to meaningful projects, collaborating with teams, and continuously expanding my knowledge in the ever- evolving field of technology."