Yağız is available for hire

Yağız Münger

Verified Expert in Engineering

Backend and DevOps Developer

Location

Istanbul, Turkey

Toptal Member Since

April 7, 2022

Yağız是一位杰出的软件工程师，他参与了多个针对全栈web开发的项目, 机器和深度学习——特别是计算机视觉和NLP——以及最近的DevOps. 有了这么全面的背景, Yağız总是迎接挑战，喜欢尽可能高效地解决问题. 尽管他更喜欢用Python, Yağız不断努力为给定的任务寻找最佳可用工具.

Portfolio

Nexstar Digital

Terraform, Docker, Kubernetes, Fastly, GitHub, Datadog, AWS Lambda, Slack...

Nexstar Digital

JavaScript, Node.js, React, Next.js, D3.js, Python, Flask, GraphQL, Aiohttp...

UlakFin金融科技服务

NumPy, PyTorch, OpenCV, Pandas, Scrapy, MongoDB, Python...

Experience

Python - 7 years Flask - 4 years React - 3 years 亚马逊网络服务(AWS)——3年 Deep Learning - 3 years Fastly - 2 years Terraform - 2 years Docker - 2 years

Availability

Part-time

Preferred Environment

Linux、Docker、Terraform、GitHub、GitLab、Fastly、Python、Amazon Web Services (AWS)、Python 3

The most amazing...

...我所从事的工作是基于Next的一个完全无服务器的web应用程序的改造.js，并由GrahpQL层支持到现有的CMS.

Work Experience

DevOps Engineer

2021 - PRESENT

Nexstar Digital

致力于迁移遗留项目的基础设施，使成本降低60%以上. 是否负责通过Docker进行集装箱化, integration to CI/CD, 以及在AWS上托管的Kubernetes集群的创建和管理.
负责将一个主要新闻网站从自定义平台转移到共享平台，没有停机时间, 从而增加收益并改善用户体验.
参与一个内容摄取项目，该项目使用AWS Lambda从各个供应商摄取内容并将其上传到CMS. 该平台被设计为完全无服务器和高度可扩展的.
将几个外部工具集成到我们的系统中, such as Datadog, Flagsmith, Kubecost, Selenium Grid, and the ELK Stack–Elastic, Logstash, and Kibana.
Worked with various CI/CD tools, such as Travis, GitHub Actions, 以及部署到高度可扩展环境的AWS CodeBuild, Serverless, and Kubernetes, 将开发人员从架构关注中解放出来.
创建了各种Slack机器人，旨在通知非技术人员并为其提供可见性.

Technologies: Terraform, Docker, Kubernetes, Fastly, GitHub, Datadog, AWS Lambda, Slack, Amazon EKS, Amazon弹性容器服务(Amazon ECS), Amazon Web Services (AWS), AWS CloudFormation, Bash, CI/CD Pipelines, Linux, AWS IAM, Amazon CloudWatch, Amazon EC2, Amazon S3 (AWS S3), Amazon CloudFront CDN, Amazon API Gateway, Amazon RDS, Amazon Route 53, Amazon Virtual Private Cloud (VPC), Continuous Integration (CI), Continuous Delivery (CD), Python, Continuous Deployment, GitOps, AWS Fargate, AWS Cloud Architecture, Site Reliability Engineering (SRE), Infrastructure as Code (IaC), Architecture, Subnet, Networking, BlazeMeter, Elastic, Elasticsearch, Serverless, Google Cloud Platform (GCP), Microservices, Distributed Systems, Python 3, Databases, Cloud Architecture, Amazon DynamoDB, Containers, Scalability, Platforms, Kanban, Automation, Monitoring, Pipelines, NGINX, Infrastructure, Containerization, Amazon ElastiCache, AWS Systems Manager, Docker Compose, SSH

Software Engineer

2020 - 2021

Nexstar Digital

在一个项目中担任关键人物，该项目专注于使用VideoJS创建一个新的视频播放器来增加广告收入. 通过自定义GrahpQL层连接到后端, 对玩家执行广告和分析.
实现了一个GraphQL层，允许新项目与各种其他服务进行交互, such as CMS, ad servers, and analytics. 致力于设计和实现它，以适合非常高的负载.
作为数据团队的一员，实施各种分析工具, such as Segment, 在前端使用原生JavaScript，性能影响最小.
监督创建COVID-19数据各种可视化的项目, including geospatial (maps), time series, 和数字数据使用React和D3.

Technologies: JavaScript, Node.js, React, Next.js, D3.js, Python, Flask, GraphQL, Aiohttp, Redis, AWS Lambda, Amazon Web Services (AWS), Amazon弹性容器服务(Amazon ECS), Starlette, Apollo, REST, CI/CD Pipelines, Linux, Amazon S3 (AWS S3), Amazon CloudFront CDN, Amazon API Gateway, Amazon RDS, API/Services Architecture, Docker, GitHub, Git, Video.js, Amazon EC2, HTML5, AWS Fargate, Amazon Simple Queue Service (SQS), SQLAlchemy, WebSockets, API Gateways, Message Queues, UI Components, Full-stack Development, Agile, Microservices, Express.js, CRUD, CSS, Python 3, API Integration, Cloud Architecture, Amazon DynamoDB, React Hooks, Celery, ECMAScript (ES6), Relational Databases, Third-party APIs, CSS3, Gatsby, Responsive Web Apps, Amazon ElastiCache, Code Review, Material UI, Web Analytics, Segment, Docker Compose, Async/Await

Software Engineer

2019 - 2020

UlakFin金融科技服务

从零开始开发了一个抓取新闻网站的系统, process textual data, 并产生对金融股票价格的情绪和预测. 实现和优化各种深度神经网络用于文本分类.
参与了一个OCR项目，旨在将图像中的金融数据转换为CSV格式. 在给定的片段中负责图像分割和文本预测.
使用Python作为项目语言. 使用Scrapy和BeautifulSoup网站爬行和解析, PyMongo for database operations, OpenCV and PIL for segmentation, Numpy and Pandas for processing, and PyTorch for predictions.
利用传统的计算机视觉方法，如边缘检测器、滤波器等.，用于分割和现代深度学习方法(cnn, lstm)用于文本预测.

Technologies: NumPy, PyTorch, OpenCV, Pandas, Scrapy, MongoDB, Python, Amazon Web Services (AWS), Linux, API/Services Architecture, GitLab, Slack, Git, React, Flask, REST, Amazon EC2, Web Scraping, HTML5, CSV File Processing, APIs, Scraping, WebSockets, Full-stack Development, HTML, Agile, NoSQL, XML, CRUD, Bootstrap 5, CSS, Bootstrap, Machine Learning, Software Architecture, Python 3, Databases, API Integration, Conda, React Hooks, Celery, Kanban, ECMAScript (ES6), Web Services, Algorithms, Third-party APIs, CSS3, Natural Language Processing (NLP), 生成预训练变压器(GPT), GPT, IPC, Time Series, Material UI, Data Analytics, YAML, Data Engineering, Fintech

Experience

Front-end Revamp

我所在的团队专注于创建一个新的前端，以在使用现有CMS的同时提高功能和性能.

During the project, 我负责在前端创建工作流程, 以尽可能高的性能添加和管理GraphQL层, 因此，它能够以最小的开销处理大量请求, 管理项目所依托的基础设施.

我使用了各种工具来确保团队遵循正确的开发和部署流程，同时使应用变得健壮, highly available, and highly scalable.

Video Player

在一个使用video创建新视频播放器的项目中，作为关键人物发挥了关键作用.js.

我研究了视频播放器的几个部分, 比如通过GrahpQL层连接到后端, integrating an existing platform, and implementing ads and analytics.

Education

2014 - 2020

计算机工程学士学位

中东技术大学-安卡拉，土耳其

Skills

Libraries/APIs

React, NumPy, PyTorch, REST API, OpenCV, Pandas, SQLAlchemy, Web API, GitHub API, Node.js, D3.js, Vue, OpenGL, React Redux

Tools

Terraform, Fastly, Amazon EKS, Amazon弹性容器服务(Amazon ECS), AWS CloudFormation, AWS IAM, Amazon CloudFront CDN, Amazon Virtual Private Cloud (VPC), AWS Fargate, Amazon Simple Queue Service (SQS), Amazon ElastiCache, Docker Compose, GitHub, Git, Amazon CloudWatch, Jira, Celery, AWS Systems Manager, GitLab, Slack, Vim Text Editor, Bitbucket, Elastic, NGINX

Frameworks

Flask, Video.js, Next.js, Scrapy, Bootstrap, Redux, Express.js, Material UI

Languages

Python, JavaScript, SQL, Bash, HTML5, HTML, CSS, Python 3, ECMAScript (ES6), CSS3, YAML, C, C++, GraphQL, XML, Java

Paradigms

REST, API/Services Architecture, Agile, Microservices, CRUD, Microservices Architecture, Kanban, Automation, DevOps, Serverless Architecture, Object-oriented Programming (OOP), Continuous Integration (CI), Continuous Delivery (CD), Continuous Deployment

Platforms

Linux, Docker, AWS Lambda, Amazon Web Services (AWS), Amazon EC2, Ubuntu, Web, Kubernetes, Arch Linux, Google Cloud Platform (GCP)

Storage

Amazon S3 (AWS S3), JSON, NoSQL, Databases, RDBMS, Relational Databases, Datadog, MongoDB, MySQL, PostgreSQL, Amazon DynamoDB, Amazon Aurora, Redis, Elasticsearch

Other

Starlette, Amazon RDS, Amazon Route 53, APIs, AWS Cloud Architecture, Infrastructure as Code (IaC), Architecture, Subnet, Networking, RESTful Services, Software Architecture, Back-end, Back-end Development, API Integration, Cloud Architecture, Lambda Functions, React Hooks, Containers, Web Services, Mathematics, Algorithms, HTTP, Web Development, Cloud, Web App Development, JSON REST APIs, SSH, Computer Vision, Deep Learning, Debugging, Aiohttp, Apollo, CI/CD Pipelines, Amazon API Gateway, DevOps Engineer, AWS DevOps, Web Scraping, CSV File Processing, Scraping, Site Reliability Engineering (SRE), Network Protocols, Storage, API Gateways, BlazeMeter, Message Queues, Full-stack Development, Serverless, Full-stack, Bootstrap 5, Distributed Systems, Machine Learning, Deployment, Front-end, Conda, Scalability, Pipelines, Front-end Development, Third-party APIs, Gatsby, Natural Language Processing (NLP), IPC, Responsive Web Apps, Infrastructure, Containerization, Code Review, Data Analytics, Data Engineering, Async/Await, Platforms, GPT, 生成预训练变压器(GPT), GitOps, WebSockets, User Interface (UI), UI Components, Monitoring, Single Sign-on (SSO), Time Series, Robotics, Analytics, Web Analytics, Segment, Fintech

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