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I am writing to express my deep interest in the position focused on integrating Artificial Intelligence (AI) in High Energy Physics (HEP) experiments, as advertised. The opportunity to contribute to cutting-edge research and also learn at CERN, where AI is pushing the boundaries of scientific discovery, is incredibly exciting.

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I have a robust foundation in AI, machine learning (ML), and automation, coupled with experience in software development within a Linux environment. I am eager to learn further and also apply my skills to your research & Development program.

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As a Software Development Engineer, I have worked on the development and optimization of test automation software using C# and Python, significantly improving the robustness and coverage of our test suites.

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My role also involved implementing CI/CD pipelines with GitHub Actions and Jenkins, streamlining our software delivery process and enhancing its efficiency and reliability. Notably, I leveraged large language models (LLMs) to generate unit test cases, focusing on data parsing and prompt engineering. These experiences align closely with your requirements for predictive analysis and real-time monitoring in HEP experiments.

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Beyond my professional experience, I have successfully executed several AI-driven projects that demonstrate my ability to innovate and apply advanced technologies in practical scenarios. For example, in the “Improved Speech Synchronized Talking Face Generation” project, I utilized Generative Adversarial Networks (GANs) to generate videos, enhancing emotional expressiveness and realism. Additionally, I employed BSRGAN for super-resolution and MTCNN to implement an eye mask, underscoring my capability to integrate cutting-edge AI techniques for real-time analysis—an essential component for automating experiment operations in HEP. Similarly, in the “Bird Identification from Soundscapes” project, I developed a Windows application using C# and TensorFlow, leveraging Convolutional Neural Networks (CNNs) to accurately identify bird species from their songs. This project illustrates my proficiency in using AI models for predictive analysis and real-time monitoring, skills directly relevant to enhancing the efficiency and accuracy of HEP experiments.

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My leadership experience as the Technical Head of Sanket 2023 and Design Head of the Electronics and Communication Engineering Association has honed my ability to lead and manage initiatives. For instance, as Technical Head, I successfully led a team to organize a technical fest, coordinating multiple events, and ensuring smooth operations, which strengthened my project management and team collaboration skills.

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Academically, I graduated with a B.Tech in Electronics and Communications Engineering from the National Institute of Technology, Calicut, with a CGPA of 9.69 and received a Gold Medal for academic excellence. This strong academic background has equipped me with the technical expertise necessary to excel in this role. My career goals are deeply aligned with CERN’s objectives, particularly my passion for advancing the frontiers of AI in scientific research and developing autonomous systems that can revolutionize HEP experiments.

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I am eager to bring my expertise and enthusiasm to your team and contribute to the success of your AI and ML initiatives in HEP. Additionally, I am enthusiastic about the prospect of learning French to better integrate into CERN’s diverse, multilingual environment. I would welcome the opportunity to discuss how my skills and experiences align with your needs. Thank you for considering my application.

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