I am a Computer Science graduate student at Arizona State University, graduating in December 2025. I bring over two years of professional experience as a Software Engineer at LTIMindtree, where I led and contributed to enterprise-scale projects involving cloud migration, backend automation, and configuration tools using technologies like SQL, Python, APIs, JavaScript and Oracle Fusion.
In parallel with my graduate studies, I have worked as a Research Assistant on computer vision projects and developed real-time AI applications such as LambdaLens and PersonalizedFeed—showcasing my ability to deploy machine learning models, automate workflows, and build scalable backend systems using AWS, PyTorch, OpenCV, and FastAPI.
I am currently seeking Summer 2025 internship opportunities in Software Engineering, Machine Learning Engineering, or Data Science roles. With a strong foundation in algorithms, practical experience deploying ML systems, and a track record of solving real-world problems at scale, I am confident in my ability to contribute to teams building impactful, data-driven products.
At Arizona State University, I built an AI tool that detects and tracks soil particles movement with 94% accuracy, automating geo-technical researcher's manual efforts. Using thousands of soil particle's images and smart data analysis, this tool makes soil research faster and more reliable.
At LTIMINDTREE, I moved over a million customer records to Oracle Cloud using SQL and Python, making data safer and cheaper to handle. I also built an automation tool that saved 300+ hours of manual work for efficient migration of configurations across environments, hence boosting operational efficiency.
Earned my Bachelor’s in Computer Science from Ramdeobaba University, mastering the building blocks of tech—machine learning, data systems, and web development. Courses in algorithms, databases, and distributed systems taught me how to design solutions that scale and work seamlessly in the real world.
