Sandeep Kumar Rudhravaram
I've been passionate about technology from an early age, diving into coding and software development as soon as I could. Over the years, I've had the opportunity to work in diverse fields, from automating insurance claims to developing robust applications in cloud environments.
I enjoy solving real-world problems with code, and I’m particularly interested in backend development, cloud computing, and machine learning. Currently, I'm focused on honing my skills in Python, Flask, and cloud technologies, while also exploring the world of data science.When I'm not coding, you can find me keeping up with the latest tech trends, working on side projects, or playing cricket when the weather's right! 🏀
🛠️ Tech StackTo craft effective and innovative solutions, I leverage a carefully curated set of programming languages, frameworks, tools, and platforms. These technologies empower me to deliver scalable, efficient, and high-performance solutions tailored to each project's needs, including:
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🗂️ TimelineAn overview of my career and education, highlighting key roles, responsibilities, and milestones along the way.
🏆 AwardsRecognitions received across academic and professional settings for excellence, innovation, and impactful contributions.
📝 PublicationsA curated selection of academic and technical publications demonstrating my commitment to research excellence, technological innovation, and practical impact in the fields of machine learning, AI, and software development.
Published in: W4A '24:Proceedings of the 21st International Web for All Conference
Date:October 22, 2024
Summary:This paper introduces A11yPDF, a free accessibility evaluation tool designed to help authors assess the inclusiveness of PDF documents. Unlike existing tools, A11yPDF covers a comprehensive range of accessibility elements, is cost-free, and generates actionable, user-friendly reports. The work addresses a critical gap in making PDF content more accessible for users with disabilities.
Published in: W4A '24:Proceedings of the 21st International Web for All Conference
Date:October 22, 2024
Summary:This paper introduces A11yPDF, a free accessibility evaluation tool designed to help authors assess the inclusiveness of PDF documents. Unlike existing tools, A11yPDF covers a comprehensive range of accessibility elements, is cost-free, and generates actionable, user-friendly reports. The work addresses a critical gap in making PDF content more accessible for users with disabilities.
🧠 PostsA collection of technical articles and personal reflections highlighting key learnings, practical problem-solving, and real-world experience in software development, AI, and machine learning.
Deep Learning in Medical Imaging
Date: June 2024
This paper introduces a deep neural network approach to segment complex 3D MRI scans with higher accuracy than traditional models, improving early-stage disease diagnosis.
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