PP

Prasanna Puttaparthi

Computer Science undergraduate · Aspiring Software Engineer

Kurnool, Andhra Pradesh, India

@prasanna_puttaparthi

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🎓 B.Tech in Computer Science & Engineering at Rajeev Gandhi Memorial College of Engg. & Tech. (RGMCET) · Graduating 2027

About

Detail-oriented Computer Science and Engineering undergraduate with experience in Python, full stack web development, and machine learning. Builds Flask/MySQL-backed web applications and integrates AI models into responsive web platforms.

Experience

  • AI & Software Development Intern
    Infosys Springboard
    Jul 2026 – Present

    Architected and implemented an end-to-end AI-based Online Exam Monitoring & Integrity Analytics Platform to ensure secure remote assessments. Engineered secure user authentication module and real-time candidate monitoring functionality using Python and Machine Learning algorithms. Developed automated suspicious activity detection algorithms and generated detailed analytics reports to assist administrators in assessment auditing.

Education

  • B.Tech in Computer Science & Engineering
    Rajeev Gandhi Memorial College of Engg. & Tech. (RGMCET)
    Computer Science & Engineering · 2023 – 2027
  • Intermediate (MPC)
    MPC · 2021 – 2023
  • SSC (Secondary School Certificate)
    ZPHS English Medium High School
    2020 – 2021

Skills

3 to 6 months 3 to 6 months A few months of practice with it.
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git MySQL GitHub VS Code

Projects

  • Heart Disease Prediction System
    Python, Flask, Scikit-learn, Pandas, NumPy

    Developed a predictive healthcare web application using Machine Learning classification models to assess heart disease risks. Preprocessed medical datasets using Pandas and NumPy, conducting feature scaling, data cleaning, and model evaluation with Scikit-learn. Integrated the trained ML inference model into a lightweight Flask web interface, delivering instant risk prediction feedback based on clinical inputs.

  • Student Internal Marks Management System
    Python, Flask, MySQL, HTML5, CSS3, JavaScript

    Engineered a full-stack academic web application featuring Role-Based Access Control (RBAC) for administrators, faculty, and students. Designed optimized relational MySQL database schemas and developed efficient Flask backend controllers for seamless CRUD operations. Created a responsive dynamic UI with HTML5/CSS3 and JavaScript, automating internal mark calculations and grade report generation.

Courses & certifications

  • NPTEL - IOT (Internet of Things) · NPTEL
  • NPTEL - Soft Skills · NPTEL

🏆 Achievements & awards

  • Smart India Hackathon (SIH) Internal Institutional Level Round Qualification

    Qualified in the internal institutional level round for innovative problem solving.

  • Technical Workshops Participation

    Participated in hands-on workshops on Artificial Intelligence, Competitive Coding, Modern Web Development and Hackathon.

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