Sandeep Paladugula

Aspiring Software Engineer | Java & DSA | AI/ML Enthusiast

Hyderabad, India

About

I am a Computer Science student specializing in Artificial Intelligence and Machine Learning, passionate about software development, problem-solving, and building practical technology solutions. My technical interests include Java programming, Data Structures and Algorithms, Android development, Python, and Artificial Intelligence. I enjoy strengthening my programming fundamentals, solving coding challenges, and exploring new technologies through hands-on projects. I am eager to connect with developers, learn from the Google Developer community, collaborate on innovative projects, and contribute to meaningful technology solutions. I look forward to learning, sharing ideas, and growing through developer events and community collaboration.

Skills

JavaScript

Python

Java

PostgreSQL

MongoDB

Projects

SmartData AI – Automated Data Cleaning and Preprocessing Tool

Developed a user-friendly web application using Python and Streamlit that allows users to upload CSV or Excel files and obtain clean, preprocessed CSV files ready for further analysis or machine learning workflows. The application simplifies data preparation for both ML developers and non-technical users by streamlining data cleaning and preprocessing through an intuitive interface, reducing the need for manual processing and coding expertise.

Python

Streamlit

Pandas

Machine Learning

Smart Civic Governance System – From Citizen Voice to Government Action

An intelligent civic governance platform designed to bridge the gap between citizens and government authorities. The system aims to streamline civic issue reporting, improve complaint tracking, and support transparent issue resolution through technology.

Python

FastAPI

PostgreSQL

Google Maps API.

IncidentMind – AI Incident Response Agent

Collaborated with a team to build IncidentMind, an AI-powered incident response agent that uses Hindsight persistent memory to make past incident knowledge reusable. The system analyzes reported incidents, recalls similar historical cases, assists with root-cause investigation, recommends troubleshooting steps, and stores incident resolutions for future reference. The project aims to make incident response more efficient by enabling AI agents to learn from previous engineering experiences. Live Demo: https://incidentmind-8w73.onrender.com Project Article: https://dev.to/praneeth_chelpuri_6ee9968/how-hindsight-turned-incident-resolutions-into-searchable-memory-3bl6

Python

FastAPI

Hindsight

Groq

HTML

CSS

JavaScript

Education

B.Tech

Kakatiya Institute of Technology & Science (KITS), Warangal · 9.2

Aug 2024 to Aug 2028

Certifications