Tech Stack & Expertise
Building robust, scalable systems with modern cloud-native technologies
Cloud & Infrastructure
Infrastructure as Code
Kubernetes & GitOps
CI/CD & Automation
Platform Engineering
Languages
Observability
Professional Certifications
Industry-recognized credentials validating cloud and container expertise
Certified Kubernetes Administrator
Demonstrated expertise in Kubernetes cluster administration, troubleshooting, networking, and security.
AWS Solutions Architect
Proven ability to design distributed systems on AWS, optimize costs, and implement secure architectures.
Work Experience
Building infrastructure and developer platforms at scale
Featured Projects
Personal and professional projects showcasing platform engineering expertise
Engineered a voting system featuring biometric authentication with face recognition. Implemented liveness detection using OpenCV/MediaPipe and designed scalable infrastructure on AWS ECS with AutoScaling policies.
Key Features
- Face recognition with liveness detection
- AutoScaling based on CloudWatch metrics
- JWT authentication with secure backend
- Nginx reverse proxy configuration
DevOps AI System
LLM-Powered Code Review
Built an automated code review system that analyzes GitLab commits, Merge Requests, and failed pipelines using Large Language Models. Includes custom VS Code extension for IDE integration.
Key Features
- Automated code review on commits & MRs
- Failed pipeline analysis with AI
- VS Code extension for IDE chat
- Real-time analysis throughput monitoring
Internal Developer Platform
Backstage-based IDP
Built Getir's central IDP 'Kitchen' enabling self-service infrastructure provisioning. Developers can scaffold microservices, provision HashiCorp Vault, ECR, MongoDB, and enable ArgoCD with a single click.
Key Features
- Self-service microservice scaffolding
- Automated Vault & ECR provisioning
- MongoDB & RDS connection setup
- One-click ArgoCD/CI enablement
RAG DevOps Agent
AI Knowledge Base
Developed a Retrieval-Augmented Generation agent using vector embeddings and semantic search. Streamlines internal issue resolution and knowledge base querying for DevOps teams.
Key Features
- Vector embeddings for document retrieval
- Semantic search capabilities
- Internal knowledge base integration
- Context-aware responses
Video Content
Sharing knowledge about DevOps, Platform Engineering, and Cloud technologies