Garanti BBVA Teknoloji
August 2025 - Present
Software Engineer
- Architecting and developing a Java framework for internal use.
- Java
- Spring
- Framework Development
- Banking
Furkan Akkurt's Resume
Furkan Akkurt
Software Engineer & Architect dedicated to build highly reliable, scalable and secure systems.
About
I'm Furkan Akkurt, Cloud DevOps Engineer with Full Stack development background and academic foundation. My journey in the tech world has been quite the adventure. Academically, I have worked on Medical Image Reconstruction and Analysis using Deep Learning and Privacy-Preserving Federated Learning where I cultivated a rich knowledge base. From optimizing cloud infrastructure to building robust backend systems, I have been working on developing, building, and deploying mid to large scale systems, and ensuring their high-availability, optimizing performance, scalability, and reliability in the ever-evolving cloud environment, using IaC and DevOps tools. I have also been working on MLOps and DataOps to build and deploy machine learning models and data pipelines.
Work Experience
Lyrebird Studio
Februray 2023 - August 2025
Cloud DevOps Engineer
- Built services on NestJS to expose training/inference workloads to millions of requests on a daily basis. Mainly used AWS ECS, Elasticache with Redis, Amazon DynamoDB, AWS Lambda, SQS.
- Built a PoC for migration of ML workloads to Kubernetes for efficient GPU and resource allocation and utilization, which resulted in up to 40% cost reduction. Used Karpenter, Keda, Bottlerocket, ArgoCD, Bottlerocket.
- Configured a Kubernetes cluster for our self-hosted CI/CD runners and integrated with a caching mechanism to reduce build/deploy times by 50% and costs by 60%.
- Used S3 Express One Zone storage class when it first came out to gain up to 90% performance improvement on storage on applications serving users below second latency. Blog post can be read here.
- Worked with the research and development team, which develops high-quality machine learning models serving millions of users worldwide, to create a cloud-based working environment with powerful accelerators (GPUs, TPUs, and Inf2), and deploy those models to production using seamless infrastructures.
- Developed advanced observability, monitoring, and alerting mechanisms on AWS, and integrated them with Slack for real-time notifications and incident management. Also utilized Incident Manager, Amazon GuardDuty, AWS WAF to provide comprehensive threat detection, mitigation, and automated incident response capabilities across the cloud infrastructure.
- GenAI
- AWS
- Python
- TypeScript
- GCP
Commencis
October 2021 - June 2022
Cloud Engineer
- Managing environments on AWS, GCP, Azure, and Yandex (mostly on AWS).
- Managing customers’ projects on the cloud and offers solutions to customers in the migrations to the cloud.
- Managing IaC projects (written mostly using Terraform), CI/CD pipelines, Kubernetes clusters, AWS Elastic Beanstalk applications, Glue jobs, Redshift clusters, and many more complex environments of both our customers and internal projects.
- Using DevOps practices to deliver better products for customer satisfaction.
- AWS
- GCP
- Terraform
- CI/CD
- Kubernetes
CryptoIndexSeries
March 2021 - October 2021
Full Stack Developer
- Worked full-stack on a web application that provides users institutional-grade data and analytics solutions for cryptocurrency market. Used Node.js, AWS and WebSockets.
- Worked on a mobile application that provides users with a way to track their cryptocurrency portfolio and investments. Used React Native and AWS.
- Full Stack
- NodeJS
- Blockchain
- AWS
- React
Istanbul Technical University
December 2020 - July 2021
Undergraduate Research Assistant
- Worked on Medical Image Reconstruction and Analysis using Deep Learning under the supervision of Assoc. Prof. Ilkay Oksuz.
- Implemented medical image segmentation models for x-ray images, using architectures like UNet and XNet. Used and optimized data augmentation techniques for training.
- PyTorch
- CNN
- Python
- Medical Image Analysis
Education
Bilkent University
2017 - 2022
B.S. in Computer Science
Skills
- AWS
- TypeScript
- Backend Development
- Java - Spring Framework
- Cloud-Native Development
- System Design
- NodeJS
- CI/CD - Jenkins - SonarQube
- Infrastructure as Code Tools (CDK, Terraform, CloudFormation)
- GCP
- Python - PyTorch - MLOps pipelines
- WebSockets
- Node.js
Projects
Plantify
Cross-platform mobile application for hobby-gardening: plant detection via ML, social feed, and real-time soil/moisture tracking with Arduino integrations.
- Flutter
- Node.js
- PyTorch
- Docker
- Arduino
American Sign Language Detector
Built two ML models (CNN & Decision Tree) on ASL dataset and a real-time Python/OpenCV pipeline to recognize and stream ASL letters from webcam video.
- Python
- CNN
- Decision Trees
- OpenCV
Medical Image Reconstruction & Analysis (UNet)
Implemented UNet-based segmentation on X-ray images for medical image reconstruction and analysis.
- Python
- UNet
- Medical Imaging
Blogs
Innovating with Generative AI on AWS
Gave a presentation on Innovating with Generative AI on AWS at AWS Cloud Day Türkiye 2023. Covered GenAI concepts and how we leveraged AWS to serve users efficiently.
Amazon SQS Fair Queues for Fairness in Multi-Tenant Environments
Explained how Amazon SQS Fair Queues can be used to ensure fairness in multi-tenant environments. Covered the concept of fair queues and how they can be implemented using Amazon SQS.
Lyrebird improves performance and reduces costs for generative AI workloads using Amazon S3 Express One Zone
Explained how Amazon S3 Express One Zone can be used to improve performance and reduce costs for generative AI workloads. Covered the concept of S3 Express One Zone and how it can be implemented using Amazon S3.