Aishwarya Rao Pantula

Aishwarya Rao Pantula

AWS Certified Cloud Practitioner | Python | AI ML Enthusuast | SQL | Final Year Student @Ramdeobaba College of Engineering and Management | UI UX Designer

Nagpur, Maharashtra, IndiaInformation Technology
2roles
32skills
2education
2credentials

About

I’m Aishwarya Pantula, a final-year B.Tech Information Technology student (2026) with a strong interest in software development and building reliable applications. I have hands-on experience working on Python-based projects where I’ve contributed to developing and improving application workflows, validating outputs, and ensuring system reliability. My work involves understanding requirements, working with backend processes, and supporting application functionality through structured coding . Key Areas of Expertise 💻 Programming: Python, SQL, C++🧠 Core Concepts: OOP, SDLC, DBMS, Linux☁️ Tools: Git, GitHub, AWS, GitHub Actions, Terraform, Docker I’m highly motivated, detail-oriented, and enjoy solving problems while working in team environments. I’m looking for opportunities where I can contribute to application development, enhancement, and support, while continuing to learn and grow as a software developer. Let’s connect! 🚀

Experience

Design Lead

Blockchain RCOEM Chapter

Oct 2024 - Sep 2025

UI/UX Intern

InteractiveWarriors Studio Pvt. Ltd.

Jun 2024 - Sep 2024

Education

Shri Ramdeobaba College of Engineering and Management

Bachelor of Technology - BTech, Information Technology

2022 - 2026

CGPA: 8.32

Bharatiya Vidya Bhavan's

2020

Skills

Amazon Web Services (AWS)DockerTerraformGitGitHubPythonC++User Experience (UX)User Interface DesignSQLSupervised LearningUnsupervised LearningConvolutional Neural Networks (CNN)Random ForestTransfer LearningModel EvaluationPandasNumPyScikit-learnTensorFlowMatplotlibLinux (Ubuntu)WindowsAWS EC2AWS S3Data Structures and AlgorithmsObject-Oriented ProgrammingSentence-BERTRetrieval-Augmented GenerationOpenRouterStreamlitOpenCV

Projects

Multilingual AI Chatbot for Water Footprint Awareness

Developed a Retrieval-Augmented Generation chatbot providing district-wise and crop-wise water footprint insights from structured datasets. Implemented semantic search with Sentence-BERT embeddings, achieving 85% response accuracy, integrated OpenRouter LLM APIs for recommendations, built a Streamlit interface, and processed over 10,000 agricultural records.

Soybean Disease Detection System

Trained a transfer-learning CNN model using ImageNet to detect 15 soybean leaf diseases with 92% accuracy. Combined CNN feature extraction with Random Forest classification, applied OpenCV preprocessing and segmentation for disease severity estimation, integrated LLM-based treatment recommendations, and trained and validated on over 8,000 labeled leaf images.