ML Engineer @Trendyol
Tolga İltüzer
ML Engineer with experience building end-to-end, production-ready ML solutions. I bridge the gap between model development and production engineering, translating complex business problems into scalable inference services by drawing on expertise in both data science and backend systems.
Sessions
How we manage ML model deployment lifecycle at Trendyol scale?
Presentation
30 Minutes
Turkish
AI & ML
We will talk about all actors' roles in model deployment lifecycle from Data Scientist to Development Team. It will cover our internal products which used in this lifecycle. We will simulate the way of working between all stakeholders (DS-ML Engineer-Developer).
- Model Registration process after training
- Model Optimization for low latency/high throughput deployment.
- Shipping it production. We will show code examples and dashboards for each step. There will be technical architectures of these products.