Open-Source Tools Every Travel Technologist Should Know
Martin Tuncaydin shares essential open-source tools for travel technology, from booking engines to route planning and data pipelines for modern developers.
Latest
Why Travel Technology is the Next Frontier for AI Investment
Martin Tuncaydin explores why travel technology represents one of the most compelling opportunities for AI investment, despite being undervalued in ventur…
The Modern Travel Data Stack in 2025: Building Warehouse Layers for Scale
Martin Tuncaydin explores how travel companies can build enterprise-grade analytics infrastructure with cloud warehouses, transformation frameworks, and m…
How to Build Trust in Airline Schedule Data at Scale: A Data Quality Guide
Martin Tuncaydin shares his practitioner's guide to building data quality frameworks for airline schedule data at scale, ensuring trust in travel platform…
AI-Driven Dynamic Pricing in Hotels: A Data Engineer's Deep Dive
Martin Tuncaydin explores AI-driven dynamic pricing in hotels, covering real-time inference, feature engineering, and the architectural challenges of mode…
Generative AI for Travel Content: Martin Tuncaydin on Opportunity and Risk
Martin Tuncaydin examines how generative AI is reshaping travel content creation, exploring the balance between efficiency gains and authentic destination…
Graph Databases for Travel: How to Map Routes, Hubs, and Connections Efficiently
Martin Tuncaydin explores how graph databases solve complex travel routing challenges that traditional relational databases can't handle, from multi-hop j…
Agentic AI Workflows for Corporate Travel Management: When Intelligent Systems Handle the Chaos
Martin Tuncaydin explores how agentic AI transforms corporate travel management through autonomous agents that negotiate, decide, and collaborate across c…
MLOps in Travel: From Notebook to Production in 30 Days
Martin Tuncaydin explores how MLOps practices enable travel technology teams to deploy data science models from notebook to production in just 30 days, tr…
Fine-Tuning Open-Source LLMs on Travel Domain Data: A Practitioner's Guide to LoRA Adapters
Martin Tuncaydin explores fine-tuning open-source LLMs like Mistral and Llama for travel technology using LoRA adapters to decode fare rules, GDS commands…
The Future of Personalization in Travel: AI-Powered Recommendations at Scale
Martin Tuncaydin explores how vector embeddings and real-time architectures are transforming travel personalization, moving beyond generic results to cont…
AI-Driven Dynamic Pricing in Hotels: A Data Engineer's Deep Dive into Revenue Management Systems
Martin Tuncaydin explores the engineering challenges behind AI-driven dynamic pricing in hotels, from real-time feature engineering to scaling revenue man…
conversational ai
Conversational AI in Online Travel Agencies: Beyond Traditional Chatbots
Martin Tuncaydin explores how conversational AI and large language models are transforming online travel agencies beyond traditional chatbot limitations.
agentic ai
Agentic AI Workflows: The Next Evolution in Corporate Travel Management
Martin Tuncaydin explores how agentic AI and multi-agent systems are transforming corporate travel management through autonomous negotiation, decision-mak…
travel personalization
The Future of Personalization in Travel: AI-Powered Recommendations at Scale
Martin Tuncaydin explores how embedding-based architectures are transforming travel personalization beyond traditional collaborative filtering to anticipa…
rag
Applying RAG Architectures to Travel Knowledge Bases: A Practitioner's View
Martin Tuncaydin explores how retrieval-augmented generation (RAG) architectures transform travel domain knowledge access, from fare rules to GDS taxonomi…
apache-kafka
Building a Real-Time Travel Data Platform with Apache Kafka and Flink
Martin Tuncaydin explores building real-time travel data platforms using Apache Kafka and Flink to capture booking events, inventory changes, and pricing …
machine learning
Flight Delay Prediction with Machine Learning: Lessons from Production
Martin Tuncaydin shares lessons from building and deploying real-time flight delay prediction models at scale using air traffic control feeds, weather API…
dynamic pricing
AI-Driven Dynamic Pricing in Hotels: A Data Engineer's Deep Dive into Feature Pipelines
Martin Tuncaydin explores the data engineering infrastructure behind AI-driven hotel pricing systems, focusing on feature pipelines and real-time rate opt…
llm fine-tuning
Fine-Tuning Open-Source LLMs on Travel Domain Data: A Practitioner's Guide
Martin Tuncaydin shares his practical guide to fine-tuning open-source LLMs for travel industry applications using parameter-efficient techniques like LoR…
graph databases
Graph Databases for Travel: How Martin Tuncaydin Maps Routes, Hubs, and Connections
Martin Tuncaydin explores how graph databases naturally model travel networks, mapping routes, hubs, and connections across flights, trains, and multi-mod…
sustainable travel
Sustainable Travel Tech: Using AI to Reduce Carbon Footprint in Global Travel
Martin Tuncaydin explores how artificial intelligence and machine learning can reduce the carbon intensity of travel through data infrastructure and algor…
large language models
How Large Language Models Are Reinventing Travel Search
Martin Tuncaydin explores how large language models are fundamentally transforming travel search beyond traditional filters, reimagining how travellers di…
data quality
Data Quality at Scale: Building Trust in Airline Schedule Data Pipelines
Martin Tuncaydin explores how to build systematic trust in airline schedule data pipelines at scale, addressing the unique challenges of travel technology…