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About Me

I started my career in backend development and developed B2B, service network and human resources projects using Django Rest Framework. In this process, I had the experience of working with complex ERP systems and integrating various databases and technologies.

Then I stepped into the field of artificial intelligence and worked on NLP and NLG and managed three different chatbots with Rasa. At the same time, I worked on face and liveness detection and trained models using technologies such as KNN, MTCNN and Caffe. I developed successful projects using models such as YOLOv5 and YOLOv7 for object detection. At the same time, I worked on customer segmentation and product recommendation with the data we obtained from the B2B platform. We published an academic publication as a team on this subject.

I joined the DevOps team and mastered Kubernetes technology. I created and installed the K8s files required for deployment and followed up with Argocd. I experienced CI/CD phases, managed projects from start to finish using Jenkins and GitHub Actions. I actively worked on CodeBuild, Route53, ECR, EC2, ACM and EKS from AWS technologies.

In all these processes, I have mastered basic technologies such as Git, GitHub, Postman, Docker. I have also frequently used Linux/Unix systems in my projects and worked effectively with project management tools such as Jira.

Language and tools

python logo javascript logo kubernetes logo docker logo argocd logo grafana logo prometheus logo jenkins logo ubuntu logo linux logo tensorflow logo postgresql logo redis logo django logo fastapi logo flask logo git logo jira logo

Hüseyin Daş's Projects

discord-bot-base icon discord-bot-base

This repository contains templates for discord moderation and entertainment bot.

django-mongo-base icon django-mongo-base

This repository includes the steps of creating a django project using the mongo atlas database.

pynq-z2-deepface-caffessd-tester icon pynq-z2-deepface-caffessd-tester

It is a testing tool for DeepFace and Caffe SSD models. This tool can be used for face recognition and object detection. This tool has been developed to be compatible with the Pynq Z2 embedded card.

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