Münchner Softwareingenieur spezialisiert auf Infrastrukturautomatisierung, Kubernetes-Management und CI/CD-Implementierung.
Aktualisiert am 25.09.2024
Profil
Mitarbeiter eines Dienstleisters
Remote-Arbeit
Verfügbar ab: 30.09.2024
Verfügbar zu: 100%
davon vor Ort: 0%
Skill-Profil eines fest angestellten Mitarbeiters des Dienstleisters
Turkish
Muttersprache
English
Verhandlungssicher
German
Grundkenntnisse
French
Grundkenntnisse

Einsatzorte

Einsatzorte

München (+500km)
Deutschland, Österreich
möglich

Projekte

Projekte

4 Jahre 4 Monate
2020-06 - heute

Deep Network GmbH

Software Engineer
Software Engineer
Ø Liebherr: Design, development, deployment, and monitoring of 40+ microservices running on AKS
and using Azure platform.
Kubernetes used as the orchestration platform. Services were implemented using Spring-boot Java.
Databases were PostgreSQL. Infrastructure was deployed using IaaC, with tooling such as
Terraform, Helm charts.
CI/CD scripts and pipelines are developed using Jenkins, with the help of groovy, bash scripts.
Ø Optifarm: Designed and implemented a dashboard-based project for a sensor-based IOT system.
Data ingestion through Azure Blob Storage, Event hubs as a broker. Utilized Azure functions to
feed information to visualization layer. Heavy scripting of Microsoft Power BI objects such as
dashboards and datasets with Python. Implemented authentication, automated building workspaces
using Microsoft Graph APIs.
Maintained big data analytics pipelines utilizing Azure Databricks and Azure Synapse Analytics
Optimized SQL queries that Power BI uses to reduce rendering times 7-fold in production.
1 Jahr
2019-01 - 2019-12

Turkish Machine Learning Research Group

Researcher
Researcher
Irony detection: Trained Turkish irony detection model with limited dataset and novel features which
uses an ensemble learning model. Utilized: gensim-word2vec, scikit-learn, spacy, nltk, zemberek-nlp
Trained word embedding models using different data sources, experimented with hyperparameters
for fine-tuning
Tweet crawling for different tasks, such as geospatial filtering, event prediction
Researched COVID-19 trends by using various NLP methods and exploring fields such as topic
modeling
Published a paper on Irony detection with Neural Networks
8 Monate
2018-06 - 2019-01

Corporate Company in Turkey

Software Engineer
Software Engineer
Developed an ETL pipeline that cleaned, processed erroneous and absent data, then aggregated
heterogenic data from different sources.
Created visualizations using NumPy, pandas, Power BI, and prepared detailed reports.
Designed an interactive virtual tour, using Krpano 360° Viewer alongside plain JavaScript, HTML5 and
CSS
Written Krpano libraries to connect course content to LMS, compliant with SCORM2004 standards.

Aus- und Weiterbildung

Aus- und Weiterbildung

6 Jahre 1 Monat
2014-06 - 2020-06

B.S. Computer Engineering

Middle East Technical University
Middle East Technical University

Kompetenzen

Kompetenzen

Produkte / Standards / Erfahrungen / Methoden

Kubernetes (AKS)
Databricks
Multi-Threading
Async Patterns
Machine Learning
UML
CI/CD
Deep Learning
Microsoft Visual Studio
SQL Server SSDT
TDD
IoT
Agile
JIRA
Jenkins
Postman
Kanban
Azure DevOps
Azure
Azure Stream Analytics
Azure ML
Azure Data Factory
Azure Data Lake
Maven
Gradle
Spring Boot
Docker
Power BI

Programmiersprachen

T-SQL
Python
Java
JavaScript
Typescript
Terraform

Datenbanken

SQL Server
PostgreSQL
SQLite
Azure SQL

Einsatzorte

Einsatzorte

München (+500km)
Deutschland, Österreich
möglich

Projekte

Projekte

4 Jahre 4 Monate
2020-06 - heute

Deep Network GmbH

Software Engineer
Software Engineer
Ø Liebherr: Design, development, deployment, and monitoring of 40+ microservices running on AKS
and using Azure platform.
Kubernetes used as the orchestration platform. Services were implemented using Spring-boot Java.
Databases were PostgreSQL. Infrastructure was deployed using IaaC, with tooling such as
Terraform, Helm charts.
CI/CD scripts and pipelines are developed using Jenkins, with the help of groovy, bash scripts.
Ø Optifarm: Designed and implemented a dashboard-based project for a sensor-based IOT system.
Data ingestion through Azure Blob Storage, Event hubs as a broker. Utilized Azure functions to
feed information to visualization layer. Heavy scripting of Microsoft Power BI objects such as
dashboards and datasets with Python. Implemented authentication, automated building workspaces
using Microsoft Graph APIs.
Maintained big data analytics pipelines utilizing Azure Databricks and Azure Synapse Analytics
Optimized SQL queries that Power BI uses to reduce rendering times 7-fold in production.
1 Jahr
2019-01 - 2019-12

Turkish Machine Learning Research Group

Researcher
Researcher
Irony detection: Trained Turkish irony detection model with limited dataset and novel features which
uses an ensemble learning model. Utilized: gensim-word2vec, scikit-learn, spacy, nltk, zemberek-nlp
Trained word embedding models using different data sources, experimented with hyperparameters
for fine-tuning
Tweet crawling for different tasks, such as geospatial filtering, event prediction
Researched COVID-19 trends by using various NLP methods and exploring fields such as topic
modeling
Published a paper on Irony detection with Neural Networks
8 Monate
2018-06 - 2019-01

Corporate Company in Turkey

Software Engineer
Software Engineer
Developed an ETL pipeline that cleaned, processed erroneous and absent data, then aggregated
heterogenic data from different sources.
Created visualizations using NumPy, pandas, Power BI, and prepared detailed reports.
Designed an interactive virtual tour, using Krpano 360° Viewer alongside plain JavaScript, HTML5 and
CSS
Written Krpano libraries to connect course content to LMS, compliant with SCORM2004 standards.

Aus- und Weiterbildung

Aus- und Weiterbildung

6 Jahre 1 Monat
2014-06 - 2020-06

B.S. Computer Engineering

Middle East Technical University
Middle East Technical University

Kompetenzen

Kompetenzen

Produkte / Standards / Erfahrungen / Methoden

Kubernetes (AKS)
Databricks
Multi-Threading
Async Patterns
Machine Learning
UML
CI/CD
Deep Learning
Microsoft Visual Studio
SQL Server SSDT
TDD
IoT
Agile
JIRA
Jenkins
Postman
Kanban
Azure DevOps
Azure
Azure Stream Analytics
Azure ML
Azure Data Factory
Azure Data Lake
Maven
Gradle
Spring Boot
Docker
Power BI

Programmiersprachen

T-SQL
Python
Java
JavaScript
Typescript
Terraform

Datenbanken

SQL Server
PostgreSQL
SQLite
Azure SQL

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