Kasarla Navya

Research Assistant – University of Central Missouri
Jan 2024 – Present

• Spearheaded deep learning model development using Python, TensorFlow, and Keras, achieving a high-performing Dice Coefficient of 0.91 on complex medical imaging datasets.
• Engineered robust data preprocessing pipelines with OpenCV and SimpleITK for DICOM and NIfTI formats, significantly enhancing model accuracy.
• Co-authored and presented a research paper at a prestigious IEEE Conference (2024), demonstrating strong academic and communication excellence.
• Owned end-to-end research documentation, including in-depth literature review, LaTeX formatting, and publication handling.

• plemented responsive React.js components for a high-traffic fintech portal, improving user experience and engagement.
• Built and secured RESTful APIs using Node.js and Express.js, integrating JWT-based authentication and role-based access control.
• Connected applications to MongoDB via Mongoose, optimizing data flow and ensuring seamless backend communication.
• Performed comprehensive unit testing with Jest and API testing with Postman, ensuring bug-free, production-ready releases.

• Completed an intensive, industry-focused 6-month bootcamp covering full-stack development using Python, JavaScript, Flask, and React.js.
• Built and deployed a full-stack web app integrating REST APIs and MySQL/MongoDB for real-time data management.
• Practiced agile development and used Git for version control and team collaboration, delivering milestones on schedule.