Apr 2025 – May 2025 · 1 mo · Bengaluru, Karnataka, India · Remote

Jul 2024 – Mar 2025 · 8 mos · Bengaluru, Karnataka, India · On-site

• At Surya Digital, I focus on developing high-performance web applications, optimizing workflows, and improving system efficiency. My work revolves around frontend and backend development, performance optimization, and CI/CD automation, helping build scalable and responsive digital solutions.
• 🔹 Architected and launched Surya Digital’s company website using Next.js, delivering a fully responsive design and an enhanced user experience. This resulted in a significant reduction in bounce rate within the first month of launch.
• 🔹 Optimized web performance by improving the PageSpeed Insights (PSI) score to a perfect 100, ensuring lightning-fast load times and seamless interactions.
• 🔹 Collaborated with a leading e-commerce company to boost the performance of their Product Detail Page (PDP) from 7/100 to 100/100 PSI score using Astro.js, dramatically improving load speeds and user experience.
• 🔹 Enhanced CI/CD operations by modularizing 25+ GitHub Actions into a centralized repository, increasing efficiency, scalability, and maintainability across multiple projects.
• Beyond writing code, I work closely with designers, analysts, and engineering teams to bring ideas to life, ensuring a balance between innovation and performance.

Jul 2023 – Jul 2024 · 1 yr · Bengaluru, Karnataka, India · On-site

• As a Software Development Engineer - 1, I developed scalable web applications, optimizing authentication systems, and streamlining internal processes to improve efficiency across projects. My role involved collaborating with cross-functional teams to enhance both development workflows and user experiences.
• 🔹 Led the development and implementation of an evaluation system for grading freshers' tests, which streamlined the recruitment process and improved efficiency in the initial screening rounds.
• 🔹 Explored and integrated Keycloak, an open-source identity and access management solution, improving OAuth authentication setups and reducing project onboarding time.
• 🔹 Collaborated with a team of developers, designers, and analysts to build a comprehensive asset management and monitoring system for fund management firms, with React.js at the frontend and Kotlin at the backend.
• 🔹 Liaised the tools and design teams to create and catalog a proprietary design system for React.js-based applications, using Material UI as the foundation for a consistent and scalable UI framework.
• 🔹 Integrated OpenTelemetry-based logging (SigNoz) into web applications, enhancing debugging capabilities and facilitating developers identify and resolve issues 30% faster.
• This role enabled me to hone my full-stack development skills, engage in cross-functional teams, and explore innovative solutions to improve both software performance and development efficiency.

Feb 2023 – Jun 2023 · 4 mos · Bengaluru, Karnataka, India · On-site

• As an SDE Intern at Surya Digital, I had the opportunity to dive deep into full-stack development, gaining hands-on experience in building and optimizing web applications. The internship provided comprehensive training in modern frontend and backend technologies, along with practical exposure to database management and server-side development.
• 🔹 Front-End Development: Trained in JavaScript, TypeScript, React.js, and MobX-State-Tree, focusing on building effective and efficient user interfaces.
• 🔹 Back-End Development: Worked extensively with Kotlin, Ktor, and Koin to develop RPC-based web servers, ensuring scalability and performance.
• 🔹 Database Management: Gained hands-on experience in PostgreSQL, using JOOQ to streamline database operations and optimize queries for backend development.
• This internship allowed me to enhance my ability to work with modern frameworks, and collaborate on real-world projects, setting a strong foundation for my journey as a software developer.

Aug 2022 – Sep 2022 · 1 mo · Mangaluru, Karnataka, India

• During this internship, I explored the fundamentals of Artificial Intelligence and Machine Learning using Python, working on basic models and gaining hands-on experience with key AI/ML concepts.
• 🔹 Worked with Python-based ML libraries such as NumPy, Pandas, Scikit-Learn, and TensorFlow, building and training simple machine learning models.
• 🔹 Implemented basic AI/ML algorithms, including classification, regression, and clustering, to analyze datasets and generate insights.
• 🔹 Explored data preprocessing techniques, including feature engineering and data cleaning, to improve model accuracy and performance.
• 🔹 Gained hands-on experience with model evaluation, tuning hyperparameters, and interpreting results to optimize performance.
• This internship helped me develop a strong foundation in AI/ML, improve my Python programming skills, and understand the practical applications of machine learning in real-world scenarios.