SHASHANKA S P — Software Engineer

About Me

I'm Shashanka, a recent Bachelor of Engineering graduate specializing in Artificial Intelligence and Machine Learning. With hands-on experience in Python Full Stack Development, I thrive on creating impactful web applications and solving complex problems. I'm passionate about continuous growth and eager to contribute to forward-thinking projects.

Professional Experience

Python Full Stack Development Intern

Cloud Institute

02/2026 – 05/2026

Bengaluru

Internship

Key Responsibilities & Tech:

Developed web applications utilizing Python Full Stack technologies.
Created responsive user interfaces using React.js, HTML, CSS, and JavaScript.
Executed CRUD operations and integrated MySQL database solutions.
Collaborated on API development, testing, and debugging processes.

Education & Certifications

Academic Background

Bachelor of Engineering (AI & ML)

Moodlakatte Institute of Technology

2022 – 2026

CGPA: 7.8

12th

Govt PU College, Anavatti

2020 – 2022

68%

10th

KPS Anavatti

2018 – 2020

75%

Certifications & Courses

Google Data Analytics · Coursera

RPA Citizen Developer Foundation · UiPath

Introduction to Python · Data Flair

Featured Projects

D

Drug Side Effects Prediction Using AI

Technologies: Python, machine learning, pandas, Numpy, Scikit-learn, HTML, CSS, JavaScript.

Engineered an AI-driven web application to predict potential drug side effects using advanced Machine Learning algorithms.
Constructed both frontend and backend components utilizing Python Full Stack technologies.
Trained and validated the model with medical and drug-related datasets to ensure precise predictions.
Implemented data preprocessing, feature extraction, and prediction modules using relevant technologies.
Technologies:Python, machine learning, pandas, Numpy, Scikit-learn, HTML, CSS, JavaScript.

Technologies: Pythonmachine learningpandasNumpyScikit-learnHTMLCSSJavaScript.

H

Hospital Management System

Technologies: Python, React.js, HTML, CSS, JavaScript, SQL.

Developed a comprehensive Hospital Management System using Python to efficiently manage patient records, doctor appointments, billing, and hospital administration.
Designed responsive front-end interfaces and integrated backend functionalities with robust database management for secure data handling.
Implemented user authentication, CRUD operations, and appointment scheduling features to enhance workflow automation and system usability.
Technologies: Python, React js, HTML, CSS, JAVASCRIPT, SQL

Technologies: PythonReact.jsHTMLCSSJavaScriptSQL.