I am a passionate and skilled Software Engineer with a solid foundation in backend and full-stack development, DevOps, and machine learning. Currently completing my Master’s in Computer Science at Stevens Institute of Technology, I have honed my expertise through hands-on experience in Python, JavaScript, and cloud technologies such as AWS and Azure. My work has included developing scalable applications, optimizing legacy codebases, and implementing robust CI/CD pipelines to drive deployment efficiency.My background includes working as a Software Engineer at InfiApp Solution, where I led projects to enhance application performance and streamline database management. In addition, as an ML Engineer Intern at Linux World, I gained experience building predictive models, optimizing algorithms, and deploying machine learning solutions on cloud platforms. My technical toolkit includes RESTful APIs, SQL, Docker, Jenkins, and various machine learning frameworks, allowing me to deliver efficient, data-driven solutions.Driven by a commitment to continuous learning and innovation, I enjoy tackling challenging projects, such as cardiovascular health prediction models and real-time object recognition systems. I’m excited to connect with other tech enthusiasts and explore opportunities where I can make an impact through technology and collaboration.