👩‍💻 Shravani Parte

About Me

I am a Computer Engineering undergraduate with a strong interest in AI systems, backend development, and real-world problem solving. I enjoy building systems that are practical, reliable, and deployment-ready, especially in domains like healthcare, autonomous systems, and offline intelligence.

What drives me is the idea of creating technology that continues to work even under constraints - limited connectivity, real-time requirements, or critical environments. I believe good engineering is not just about models or code, but about designing systems that people can actually depend on.

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🔍 What I’m Good At

• Designing end-to-end systems, not just isolated features
• Breaking down complex problems into clear, implementable pipelines
• Working with offline-first and resource-aware architectures
• Combining AI + software engineering for real-world applications
• Writing structured, readable, and well-documented code

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🚀 Featured Projects

🏥 Agentic AI – Hospital Readiness System

An agent-based AI system designed to assess and monitor hospital preparedness.

Key Highlights:

• Multi-agent architecture for independent decision-making modules
• Evaluates readiness based on resources, staff availability, and operational constraints
• Focused on real-world healthcare scenarios, not just theoretical AI
• Designed for extensibility and future integration with live hospital data

Tech Stack:
AI Agents, Python, System Design, Decision Logic

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📚 Offline RAG System (NLP-Based)

A fully offline Retrieval-Augmented Generation (RAG) system that answers queries based on uploaded documents.

Key Highlights:

• No internet or external API dependency
• Local document ingestion, chunking, embedding, and retrieval
• NLP-powered semantic search over user-uploaded content
• Suitable for secure, air-gapped environments

Tech Stack:
Python, NLP, Embeddings, Vector Search, Offline AI Pipelines

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🩺 Healthcare Management Platform

A full-stack healthcare web application for appointment booking and doctor management.

Highlights:

• Secure user authentication
• Doctor browsing and smart scheduling
• PHP backend with MySQL integration
• Responsive frontend and user dashboard

Tech Stack:
HTML, CSS, JavaScript, PHP, MySQL

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📊 Algorithm Visualizer – Fractional Knapsack

An interactive visualization tool to demonstrate greedy algorithms.

Highlights:

• Step-by-step execution visualization
• Adjustable animation speed
• Manual and random input modes
• Educational and beginner-friendly design

Tech Stack:
HTML, CSS, JavaScript

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🧠 Research & Technical Exposure

• Research Assistant Intern – Autonomous Vehicle Research Lab
• Worked with LiDAR and depth camera data on ROS2
• Experience in sensor fusion and perception pipelines
• Strong foundation in Data Structures and Algorithms

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🛠️ Technical Skills

Languages: Python, Java, C++, PHP, SQL
Web: HTML, CSS, JavaScript
Databases: MySQL, PostgreSQL
Tools & Frameworks: ROS2, Git, Linux, VS Code, Jupyter
Core Areas: AI Systems, NLP, Backend Development, Algorithms

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🌱 What I’m Exploring Next

• Advanced agentic AI architectures
• Scalable RAG pipelines
• AI systems for critical and offline environments
• Deeper research in autonomous and intelligent systems

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📫 Let’s Connect

• GitHub: https://github.com/Shravani-Parte
• LinkedIn: https://www.linkedin.com/in/shravani-parte-0b1b68347

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I enjoy building systems that work not just in ideal conditions, but in the real world.