Hotels MCP Server
Python134
MCP server for hotel searches using Booking.com API. Implements robust error handling, rate limiting, and clean API abstractions.
PythonModel Context Protocol
activeView Project →
Hello, I'm
Esa Krissa
About
A bit about me and my background
Background
I'm I Wayan Darmika Esa Krissayoga, a Python Backend Engineer based in Ubud, Bali, Indonesia. I build backend systems, AI agents, and microservices with Python, FastAPI, and cloud-native technologies on AWS and GCP.
I'm passionate about building robust, scalable backend services and working with AI agent architectures. From designing reliable APIs to orchestrating multi-agent systems with LangGraph and MCP, I focus on shipping things that work.
I'm also a published researcher with papers on AI-based travel agent systems and chatbot search algorithms. My creative background as a singer-songwriter gives me a unique eye for design and UX.
🤖
AI-Assisted Development
Cursor + Claude Code
Building faster with AI tooling as a daily driver
Education
Bachelor's Degree
Information Technology (Teknologi Informasi)
Universitas Udayana
Bali, Indonesia
- •Published 2 research papers
- •First author on AI/LangGraph publication
- •Research on microservices and chatbot systems
What I Value
- 🐍
Python First
FastAPI, clean APIs, and production-grade backend code
- 🏗️
Clean Architecture
SOLID principles, microservices, and system design
- 🤖
AI-Native
LangChain, LangGraph, MCP — building with AI agents
- 🚀
Ship It
Done beats perfect. Deploy, learn, iterate.
Skills
Technologies and tools I work with
Languages
Python
expertTypeScript
advancedJavaScript
advancedGo
intermediateRust
intermediateBackend & APIs
FastAPI
expertNode.js
advancedNext.js
advancedServerless Framework
advancedAI & LLM Agents
LangChain
expertLangGraph
expertModel Context Protocol
expertOpenAI API
expertAnthropic API
expertCloud & DevOps
AWS
expertGoogle Cloud Platform
expertDocker
expertTerraform
advancedGitHub Actions
expertDatabases
PostgreSQL
expertRedis
advancedSupabase
advancedMongoDB
advancedDev Tools
Cursor IDE
expertClaude Code
expertPY
Python First
Python is my core language. I build production-grade APIs with FastAPI, orchestrate AI agents with LangChain and LangGraph, and deploy microservices on AWS and GCP. Clean code, solid tests, and reliable systems.
Projects
Selected work from my GitHub repositories
Agents SDK Telegram
Python61
Telegram bot using OpenAI Agents SDK and MCP Server. Popular project with community adoption.
PythonOpenAI APIModel Context Protocol
activeView Project →
LangChain MCP
Python2
LangChain Agent with MCP Servers: Using LangChain MCP Adapters for tool integration.
PythonLangChainModel Context Protocol
activeView Project →
Trading Bot
PythonHigh-performance algorithmic trading bot for cryptocurrency markets. Features real-time data processing pipelines and rigorous testing.
PythonRedis
activeView Project →
Taskr CLI
RustBeautiful interactive task manager CLI built with Rust. Features animated UI, autocomplete, and persistent storage.
Rust
activeView Project →
Agen Travel
TypeScriptTravel agent application built with TypeScript. Final project demonstrating full-stack TypeScript development.
TypeScriptNode.js
activeView Project →
LangGraph Interrupt CLI
PythonImplementation of LangGraph human-in-the-loop (HIL) for hotel booking process. Uses Gemini 2.5 Flash Preview model.
PythonLangGraphOpenAI API
activeView Project →
AI Code Playground
TypeScriptA modern TypeScript playground with AI code assistant integration. Demonstrates strict type safety with generics and advanced TypeScript patterns.
TypeScriptNode.jsOpenAI API
activeView Project →
Publications
Research papers and academic contributions
First Author
AI-Based Travel Agent Architecture with Implementation of LangGraph and Model Context Protocol (MCP)
I Wayan Darmika Esa Krissayoga*, I Made Sukarsa & Putu Wira Buana
Buletin Teknologi Informasi•July 2025
View Abstract
Multi-agent AI system using Large Language Models (LLM) for an integrated travel agent application managing hotel bookings, flights, and tour packages with responsive customer service. Implemented LangGraph framework for multi-agent coordination using StateGraph and cyclical graphs. Applied Model Context Protocol (MCP) for standardized AI assistant integration with external data sources. Performance: 99.7% uptime, response time 6.6-53.6 seconds, error rate <0.5%, accuracy rate 92-96%.
LangGraphMCPMulti-agent AITravel BookingLLM
N-Gram and Full-Text Search Algorithm Testing for Pattern Recognition in a Chatbot Engine
I Made Sukarsa, Deden Witarsyah, I Putu Agung Bayupati, Putu Wira Buana, Ni Wayan Wisswani, I Ketut Adi Purnawan, I Putu Adi Putra Setiawan, I Putu Ngurah Krisna Dana, I Wayan Darmika Esa Krissayoga & Eko Prasetyo
View Abstract
Research on the ISONER (Information System On Internet Messenger) framework, focusing on pattern recognition services using Natural Language Processing (NLP). Implemented and benchmarked N-gram and Full-Text Search algorithms using MySQL's built-in plugins for low-latency pattern matching in chatbot engines. The FTS and four-gram algorithms showed excellent results.
N-GramFull-Text SearchChatbotNLPISONERPattern Recognition
📚
Research Focus
My research focuses on microservices architecture, AI agent orchestration, and backend system optimization. I combine academic rigor with practical implementation, as demonstrated by my GitHub repositories that implement the concepts from my papers.
Contact
Get in touch with me
Let's Connect
I'm always interested in hearing about new opportunities, collaborations, or just having a chat about technology. Feel free to reach out!
🟢 Currently Available
Open to remote opportunities — especially Python backend roles involving FastAPI, microservices, AI agents, and cloud infrastructure (AWS/GCP). Based in Bali (UTC+8), aligned with APAC and EU timezones.