

Computer Science undergraduate with experience in Python, Flask, JavaScript, React.js, and SQL. Completed a Frontend Developer internship and developed full-stack and machine learning-based projects. Strong foundation in software engineering, REST APIs, and database management, with a keen interest in building scalable web applications and cloud-based solutions.
• Developed and maintained responsive web pages using HTML, CSS, and JavaScript.
• Improved website responsiveness and cross-browser compatibility across multiple devices.
• Assisted in UI enhancements, testing, debugging, and deployment activities.
Programming Languages: Python, JavaScript, SQL
Frontend Development: HTML5, CSS3, Reactjs, Tailwind CSS
Backend Development: Flask, REST APIs
Database Technologies: MySQL
Tools & Platforms: Git, GitHub, VS Code
AWS Academy Machine Learning Foundations
Oracle Cloud Infrastructure 2025 Certified Foundations Associate
Alteryx Designer Core Micro-Credential: Data Preparation
AWS Academy Machine Learning Foundations
Deep Learning Models for Classification of Red Blood Cells in Microscopy Images to Aid in Sickle Cell Anemia Diagnosis | IEEE, 2025
• Research focused on machine learning-based classification of red blood cells for early sickle cell anemia detection.
• Runner-Up, SRM Hackathon 8.0 (2024).
• Participant, Layer'24 Blockchain Hackathon (2024), organized by Blockchain Club SRM.
LinkedIn | GitHub | LeetCode
linkedin.com/in/rudranil-patra-240a7425b | github.com/nilf4 | leetcode.com/u/rp4224