Atakan Salar

DevOps & Cloud Engineer

Currently working at TIRPORT as a DevOps & Cloud Engineer. Interested in software development, DevOps practices, and artificial intelligence.

About Me

I'm a DevOps & Cloud Engineer and Software Developer working with AWS, Azure, and GCP, managing cloud infrastructure and building CI/CD pipelines for scalable and reliable deployments. I have expertise in artificial intelligence, machine learning operations and deploying AI systems in production environments.

Beyond my professional work, I contribute to academic AI and computer vision research projects as a volunteer researcher. I've presented at KaVe Istanbul and given guest lectures on distributed systems at Galatasaray University.

Education

2018 — 2023
İstanbul Bilgi Üniversitesi
Computer Engineering • Full Scholarship • 3.4/4.0 GPA

Focused on machine learning, natural language processing, computer vision, and DevOps practices during my studies.

Experience

FEBRUARY 2023 — PRESENT
DevOps & Cloud Engineer • TIRPORT
  • • Building and maintaining multi-cloud infrastructure solutions across AWS, Azure, and GCP
  • • Implementing Kubernetes orchestration for containerized applications and microservices
  • • Developing automated CI/CD workflows that reduce deployment time and improve reliability
  • • Creating comprehensive monitoring and alerting systems for production environments
  • • Designing internal tools and AI-enhanced solutions to optimize development processes
NOVEMBER 2020 — 2025
DevOps & MLOps Engineer, Full Stack Developer, Team Lead • Summarify
  • • Spearheaded the development of NLP and LLM-powered applications from concept to production
  • • Built end-to-end MLOps pipelines for model training, testing, and automated deployment
  • • Architected scalable cloud infrastructure using containerization and orchestration technologies
  • • Led cross-functional teams in delivering full-stack web and mobile AI solutions
  • • Established best practices for AI model versioning, monitoring, and performance optimization

Publications

JULY 2023

Research on applying machine learning techniques to analyze psychological drawings from the House-Person-Tree test in child psychology, contributing to AI-assisted art therapy methodologies.

DOI: 10.1109/ICECCME57830.2023.10252218
2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)