am a software engineer with a strong academic background in computer science and engineering, having completed a B.S.E. in Computer Science with a minor in Statistics from the University of Michigan, followed by an MSc in Software Systems Engineering at University College London, and currently pursuing an MSc in Applied Computational Science and Engineering at Imperial College London. Professionally, I have worked as a Full Stack Software Engineer at Metfolio, where I built production features including a real-time delivery tracking system for physical gold shipments and an AI-powered customer support system that improved user experience and reduced reliance on live agents. I have also gained industry experience at ServiceNow and the University of Michigan College of Engineering, where I worked on scalable web applications, automated testing systems, and secure REST APIs deployed on AWS. In addition to my professional experience, I have worked on advanced technical projects such as developing an AI agent to reverse-engineer legacy PDE solvers using LangChain, SymPy, and Devito, combining software engineering with scientific computing and machine learning. My technical skill set includes Python, C++, JavaScript/TypeScript, and frameworks such as Django, Flask, and React, along with experience in distributed systems, cloud computing (AWS), and data-driven applications. Overall, I am particularly interested in building scalable backend systems and intelligent AI-driven solutions, and I bring strong problem-solving abilities, experience with modern development workflows, and a solid foundation in both software engineering and computational science.…am a software engineer with a strong academic background in computer science and engineering, having completed a B.S.E. in Computer Science with a minor in Statistics from the University of Michigan, followed by an MSc in Software Systems Engineering at University College London, and currently pursuing an MSc in Applied Computational Science and Engineering at Imperial College London. Professionally, I have worked as a Full Stack Software Engineer at Metfolio, where I built production features including a real-time delivery tracking system for physical gold shipments and an AI-powered customer support system that improved user experience and reduced reliance on live agents. I have also gained industry experience at ServiceNow and the University of Michigan College of Engineering, where I worked on scalable web applications, automated testing systems, and secure REST APIs deployed on AWS. In addition to my professional experience, I have worked on advanced technical projects such as developing an AI agent to reverse-engineer legacy PDE solvers using LangChain, SymPy, and Devito, combining software engineering with scientific computing and machine learning. My technical skill set includes Python, C++, JavaScript/TypeScript, and frameworks such as Django, Flask, and React, along with experience in distributed systems, cloud computing (AWS), and data-driven applications. Overall, I am particularly interested in building scalable backend systems and intelligent AI-driven solutions, and I bring strong problem-solving abilities, experience with modern development workflows, and a solid foundation in both software engineering and computational science.WWWW…