Amit Sahu

Final-year BCA student with expertise in Java, Data Structures & Algorithms, and full-stack development. Skilled in building scalable web apps, ML systems, and REST APIs. Proficient in QA automation using Selenium, TestNG, Maven, and Cucumber. Strong experience in React.js, Linux environments, Git workflows, and agile practices. Passionate about delivering high-quality software through clean code, automation, and open-source contributions.

Frontend Developer Intern at Landmine Soft (2026-02 – Present)

Developed responsive React.js components and integrated frontend with backend APIs

• Developed responsive, reusable React.js components with HTML5/CSS3, improving UI performance by 25%
• Integrated frontend with backend REST APIs for dynamic data rendering and seamless user experience
• Optimized cross-browser compatibility and conducted code reviews in agile sprints
• Collaborated on feature implementation and debugging to deliver production-ready modules

Research Intern at National Institute of Technology (NIT) Rourkela (2025-05 – 2025-07)

Built AI-powered retinal disease detection system using CNNs and developed Streamlit web application

• Built AI-powered retinal disease detection system using CNNs (EfficientNet) achieving 90%+ accuracy
• Developed Streamlit web app for real-time image upload & prediction with Google Maps API integration
• Designed end-to-end ML pipeline including data preprocessing, model training, and deployment
• Recommended nearby eye specialists based on user geolocation

Bachelor of Computer Applications in Computer Applications – Chaudhary Charan Singh University (2023 – 2026)