Vrushali Ranadive
A Software Engineer & AI Enthusiast passionate about crafting intelligent systems and scalable applications. Currently pursuing my Master’s in Computer Science at NC State University.
About Me
I’m a graduate student in Computer Science at NC State University, passionate about Artificial Intelligence, Data Science, and Software Engineering. My journey blends research-driven projects with industry experience.
My foundation in Computer Science was built during my undergraduate studies at Dharmsinh Desai University, where I discovered my passion for algorithms and intelligent systems. Today, I channel that passion into building technologies that create meaningful, real-world impact.
Skills
Programming Languages
AI/ML & Data Science
Web Frameworks
Databases
Tools & DevOps
Experience
Software Engineering Intern
Early Rehab Services Inc
June 2025 – Present
- Enhancing usability of Exabill, a medical record & billing software for healthcare providers
- Building agentic AI solutions, RAG pipelines and automated workflows
Research Intern
Indian Space Research Organisation (ISRO)
Dec 2023 – Mar 2024
- Engineered a full-stack solution for Payload Electrical Interface Definition
- Centralized data and optimized MySQL workflows, cutting redundancy by ~40%
- Reduced manual processing time by ~30% to improve efficiency
Software Engineering Intern
Linde Engineering
May 2023 – Jun 2023
- Developed a full-stack Intranet Intern Management System
- Validated and documented 20+ RESTful APIs to achieve high reliability using Swagger UI
- Collaborated with stakeholders to refine requirements and deliver a reliable solution
Featured Projects
DocuSense - RAG Chatbot
A RAG-based PDF chatbot with custom prompts and fallback logic for out-of-context queries. Deployed on Gradio UI for real-time QA with conversational memory, chunked PDF parsing, and low-confidence detection.
AI-Generated Image Detection
A deep learning-based image classification system to detect AI-generated (fake) versus real images. Implemented a custom CNN and fine-tuned ResNet & EfficientNet models, with optional explainability via Grad-CAM. Achieved 94.99% test accuracy and 0.9892 ROC-AUC
Stock Vision – Stock Price Predictor
A robust ML application predicting daily closing prices of stocks using LSTM & ARIMA trained on historical market data from Yahoo Finance. Achieved mean absolute error (MAE) below 2.5%.
AI Image Captioning
An AI-based image captioning system using deep learning. It utilizes the Flickr30k dataset and a hybrid architecture combining a Convolutional Neural Network (CNN) and a Transformer or LSTM decoder to generate descriptive captions for images. Achieved notable evaluation metrics with a BLEU score of 0.1688 and a CIDEr score of 0.556.
Appointment Tracking System
A full-stack Appointment Tracking System using .NET Core and ReactJS. Built and tested RESTful APIs with Swagger UI for reliable backend communication.
Google Classroom Clone
A full-stack learning management platform. Architected using the MERN stack for scalable full-stack functionality.
Certifications
Getting Started with Deep Learning
NVIDIA
Issued Feb 2025
View Certificate →LLM Application Development with LangChain and OpenAI
Issued Jul 2025
View Certificate →Introduction to Generative AI with GPT
Issued Jun 2025
View Certificate →Data Structures and Algorithms
Univeristy of California, San Diego & Coursera
Issued Oct 2021
View Certificate →Certification in Financial Markets
National Stock Exchange of India
Issued Jul 2024
View Certificate →