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📰 Dev.to · Martin Tuncaydin

20 articles · Updated every 3 hours · View all reads

All Articles 189,339Blog Posts 171,214Tech Tutorials 50,750Research Papers 36,772News 23,157 ⚡ AI Lessons
Fine-Tuning Open-Source LLMs on Travel Domain Data: A Practitioner's Guide to LoRA Adapters
Dev.to · Martin Tuncaydin 🧠 Large Language Models ⚡ AI Lesson 4mo ago
Fine-Tuning Open-Source LLMs on Travel Domain Data: A Practitioner's Guide to LoRA Adapters
Martin Tuncaydin shares a practitioner's guide to fine-tuning open-source LLMs for travel industry data using LoRA adapters, tackling GDS responses and fa…
Event-Driven Microservices for Booking Systems: Saga Patterns and Eventual Consistency in Travel Technology
Dev.to · Martin Tuncaydin 🏗️ Systems Design & Architecture ⚡ AI Lesson 4mo ago
Event-Driven Microservices for Booking Systems: Saga Patterns and Eventual Consistency in Travel Technology
Martin Tuncaydin explores event-driven microservices architecture, saga patterns, and eventual consistency for high-throughput booking systems in travel t…
Open-Source Tools Every Travel Technologist Should Know
Dev.to · Martin Tuncaydin 🔧 Backend Engineering ⚡ AI Lesson 4mo ago
Open-Source Tools Every Travel Technologist Should Know
Martin Tuncaydin explores essential open-source tools transforming travel technology, from APIs to interoperability solutions that enable transparency and…
Generative AI for Travel Content: How Martin Tuncaydin Navigates Opportunity and Risk
Dev.to · Martin Tuncaydin 🛠️ AI Tools & Apps ⚡ AI Lesson 4mo ago
Generative AI for Travel Content: How Martin Tuncaydin Navigates Opportunity and Risk
Martin Tuncaydin explores how generative AI transforms travel content production while addressing critical risks like hallucinations, SEO impact, and user…
MLOps in Travel: From Notebook to Production in 30 Days
Dev.to · Martin Tuncaydin 🏭 MLOps & LLMOps ⚡ AI Lesson 5mo ago
MLOps in Travel: From Notebook to Production in 30 Days
Martin Tuncaydin shares his journey of deploying a hotel ranking model from experimental notebook to production in 30 days, proving rapid MLOps iteration …
Flight Delay Prediction with Machine Learning: Lessons from Production
Dev.to · Martin Tuncaydin 📐 ML Fundamentals ⚡ AI Lesson 5mo ago
Flight Delay Prediction with Machine Learning: Lessons from Production
Martin Tuncaydin shares hard-won lessons from building production-grade flight delay prediction models, bridging the gap between data science and operatio…
The NDC Revolution and What It Means for Data Engineers in Travel Tech
Dev.to · Martin Tuncaydin 📣 Digital Marketing & Growth ⚡ AI Lesson 5mo ago
The NDC Revolution and What It Means for Data Engineers in Travel Tech
Martin Tuncaydin explores how IATA's NDC standard is transforming airline distribution and creating new challenges for data engineers in the travel techno…
Flight Delay Prediction with Machine Learning: Lessons from Production
Dev.to · Martin Tuncaydin 📐 ML Fundamentals ⚡ AI Lesson 5mo ago
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…
AI-Driven Dynamic Pricing in Hotels: A Data Engineer's Deep Dive into Feature Pipelines
Dev.to · Martin Tuncaydin 📐 ML Fundamentals ⚡ AI Lesson 5mo ago
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…
Data Quality at Scale: Building Trust in Airline Schedule Data Pipelines
Dev.to · Martin Tuncaydin 📊 Data Analytics & Business Intelligence ⚡ AI Lesson 6mo ago
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…
MLOps in Travel: Deploy Machine Learning Models from Notebook to Production in 30 Days
Dev.to · Martin Tuncaydin 📐 ML Fundamentals ⚡ AI Lesson 6mo ago
MLOps in Travel: Deploy Machine Learning Models from Notebook to Production in 30 Days
Martin Tuncaydin shares how travel technology teams can deploy ML models to production in 30 days using MLOps practices, overcoming unique challenges in h…
Generative AI for Travel Content: Balancing Opportunity and Risk in Tourism Marketing
Dev.to · Martin Tuncaydin 📣 Digital Marketing & Growth ⚡ AI Lesson 6mo ago
Generative AI for Travel Content: Balancing Opportunity and Risk in Tourism Marketing
Martin Tuncaydin explores how the travel industry can harness generative AI for content creation while mitigating risks like factual accuracy and search p…
Event-Driven Microservices for Booking Systems: Managing Distributed Transactions at Scale
Dev.to · Martin Tuncaydin 🏗️ Systems Design & Architecture ⚡ AI Lesson 6mo ago
Event-Driven Microservices for Booking Systems: Managing Distributed Transactions at Scale
Martin Tuncaydin explores event-driven architecture for travel booking systems, covering sagas, eventual consistency, and the outbox pattern for managing …
Flight Delay Prediction with Machine Learning: Lessons from Production
Dev.to · Martin Tuncaydin 📐 ML Fundamentals ⚡ AI Lesson 6mo ago
Flight Delay Prediction with Machine Learning: Lessons from Production
Martin Tuncaydin shares hard-won lessons from building production-grade flight delay prediction models, navigating incomplete aviation data, and earning o…
Why Travel Technology is the Next Frontier for AI Investment
Dev.to · Martin Tuncaydin 📰 AI News & Updates ⚡ AI Lesson 6mo ago
Why Travel Technology is the Next Frontier for AI Investment
Martin Tuncaydin explores why travel technology represents an unprecedented opportunity for AI investment, examining market fragmentation and data richnes…
The NDC Revolution and What It Means for Data Engineers
Dev.to · Martin Tuncaydin ⚡ AI Lesson 7mo ago
The NDC Revolution and What It Means for Data Engineers
Martin Tuncaydin explores how IATA's NDC standard is transforming airline distribution and what this API-first shift means for travel technology data engi…