Vidya V

Computer Science Engineering Student · Full-Stack Developer

Bengaluru, Karnataka, India

@vidya_v

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🎓 B.E. Computer Science and Engineering at VTU · Graduating 2027

About

Computer Science Engineering student with hands-on experience building full-stack web applications in Python, JavaScript, React, and AI/ML. Has delivered an end-to-end medical diagnostic tool and a production-style SaaS platform, and is seeking a full-stack development internship.

Experience

Pragathi: Path to Future

Infosys Springboard

— – Present

Training cohort covering current AI technologies and applied ML tooling.
Python Developer Program

Infosys

Aug 2021 – —

Completed a structured training program covering core Python and application development skills.
Training Program

TNSIF

Completed training in Java programming and professional communication skills.

Education

B.E. Computer Science and Engineering

Sri Krishna Institute of Technology

Computer Science and Engineering · Sep 2023 – Jun 2027
Pre-University (PCMB)

ALPUC RR Institutions

PCMB · Apr 2023
High School

St. John's High School

Skills

5 to 8 years

Python

<3 months

SQL CSS3 Java React Keras HTML5 OpenCV Node.js Bootstrap Express.js JavaScript TensorFlow Neural Networks Predictive Modeling API Integration Understanding CNN (Convolutional Neural Network)

Tools / apps / platforms

<3 months

Git Linux MySQL GitHub PostgreSQL Microsoft Windows

Projects

AI-Integrated SaaS Service Platform

React.js, Node.js, Express, JWT

Built a full-stack SaaS application with a modular AI-driven service engine that automates repetitive user tasks. Designed a responsive React.js and Bootstrap frontend, developed a low-latency RESTful API with Node.js and Express, and implemented secure authentication and session management using JWT and encrypted sessions.
Medical Imaging Diagnostic Tool (Pneumonia Detection)

Python, React, FastAPI, TensorFlow, OpenCV

Built an end-to-end CNN pipeline in Python/TensorFlow to detect pneumonia from chest X-rays, reaching 93% validation accuracy. Used OpenCV for image preprocessing and augmentation and built a React frontend on a FastAPI backend for real-time predictions.
Predictive Health Analytics Dashboard

Python, Scikit-learn, MySQL

Built a Scikit-learn model to predict chronic disease risk from patient biometric data, ran EDA to handle imbalanced classes, and built an interactive dashboard with a MySQL backend for secure patient history storage.

Courses & certifications

Cloud Computing · NPTEL
Artificial Intelligence · Certification
Deep Learning · NPTEL

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