I’m Yadavalli Satya Harsha, a B.Tech AI & ML student interested in building software where AI, automation, and full-stack engineering meet.
I like working on projects that go beyond simple demos — systems with real workflows, APIs, databases, machine learning models, and intelligent interfaces.
Currently focused on:
- AI agents and agentic workflows
- Machine learning and intelligent systems
- Full-stack application development
- Backend engineering and APIs
- Java, DSA, and core software engineering
developer:
name: Yadavalli Satya Harsha
role: B.Tech AI & ML Student
github: satyaprime1
interests:
- AI Agents
- Machine Learning
- Full-Stack Development
- Backend Engineering
- Intelligent Systems
currently:
learning: [Advanced Java, DSA, AI Agents, ML, System Design]
building: [AI-powered applications, automation, production-style projects]
open_to:
- Internships
- Open Source
- Hackathons
- Technical CollaborationsAI-powered disaster risk intelligence and response platform
A disaster-management system combining machine learning, live weather data, satellite intelligence, terrain information, risk analysis, safe routing, and an AI disaster copilot into a single platform.
What it explores
- Flood & landslide risk prediction
- Machine-learning based disaster assessment
- Satellite and geospatial intelligence
- Live weather integration
- Risk fusion and visualization
- Safe-route planning
- AI-powered disaster assistance
Stack
Python Flask Machine Learning React Open-Meteo Satellite Data OpenStreetMap OSRM
An intelligent web agent designed to understand and interact with the web
A project focused on exploring agentic web interaction, where an AI system can reason about tasks, interact with web interfaces, and execute multi-step workflows instead of simply generating text.
Core ideas
- Agentic task execution
- Web interaction
- LLM-powered reasoning
- Multi-step workflows
- Automation through intelligent agents
Stack
Python AI Agents LLMs Web Automation
AI-powered intelligent campus assistant
An AI system designed around campus workflows, bringing together conversational AI, intelligent assistance, and application-level functionality.
Stack
Python FastAPI React LangGraph LLMs
A full-stack student management platform with authentication, role-based access, CRUD operations, and database-backed workflows.
Stack
Python Flask Flask-SQLAlchemy SQLite Flask-Login Bootstrap
A lightweight Chrome extension that provides location-based weather information using live weather data.
Stack
JavaScript HTML CSS Chrome Extensions API Open-Meteo
| Domain | Current Focus |
|---|---|
| AI Engineering | AI agents, LLM applications, RAG, intelligent workflows |
| Machine Learning | Prediction systems, model experimentation, real-world datasets |
| Full-Stack | React interfaces, APIs, authentication, databases |
| Backend | Flask, FastAPI, Node.js, API architecture |
| Core CS | Java, OOP, DSA, problem solving |
| Automation | Agent workflows, web automation, developer tooling |
AI Agents
↓
LLMs + Tool Calling
↓
RAG + Agent Workflows
↓
Production AI Applications
Alongside AI, I'm strengthening the fundamentals that support it:
Java · DSA · OOP · SQL · APIs · Backend Architecture · System Design
IDEA
│
▼
PROTOTYPE
│
▼
ENGINEERING
│
├── AI / ML
├── Backend
├── Data
└── Frontend
│
▼
WORKING SYSTEM
│
▼
ITERATE → IMPROVE → SHIP
