Hi, my name is
Eray Alp.
I'm a Software Engineer specializing in Infrastructure and Applied AI. I design, build and operate cloud native systems that powers production services and ML workloads with a focus on reliability and scalability.
01.About Me
Hey there! I'm someone who genuinely enjoys architecting systems and thinking through how complex components fit together.
I love working at the intersection of software engineering, AI/ML, infrastructure, and data pipelines. I focus on how these systems are designed, connected, and operated under real-world constraints like scale, latency, and reliability.
My key areas of interest:
- DevOps/SRE, Infrastructure & Platform
- MLOps, AI Inference & Training, LLMs
- Data Pipelines & Streaming Analytics
- Cloud Computing & Distributed Systems
Currently at Codeway, I work across DevOps/SRE, platform engineering, and MLOps, powering global AI-powered apps used by millions.
Previously, at sahibinden.com, one of Turkey's largest marketplaces, I helped move high-traffic production systems from rule-based logic to LLM-powered services, building scalable inference pipelines with evaluation and monitoring.
Before that, at Insider One, I worked on production-scale semantic search, large data ingestion pipelines, vector indexing, and hybrid retrieval systems.
Some of the tools & technologies I enjoy working with:
- Kubernetes
- Python
- Go
- Docker
- AWS
- GCP
- PyTorch
- Git
- Linux
- FastAPI
- TypeScript
- Vue
02.Experiences
- Dec 2025 – Present
DevOps Engineer Intern@Codeway ↗
Istanbul, Turkey
- I work across DevOps/SRE, platform engineering, and MLOps.
- My work includes designing and operating cloud native systems and supporting teams to reliably deploy, monitor, and scale production services and ML workloads.
- I work hands-on with Kubernetes, GCP, CI/CD, GitOps, observability stacks, and production ML workflows.
- Sep 2025 – Dec 2025
Machine Learning Engineer Intern@sahibinden.com ↗
Istanbul, Turkey
- Transitioned a rule-based moderation pipeline to an LLM-based system for Turkish user messages, improving semantic violation detection (advertising, fraud, toxicity, off-platform contact) and reducing false negatives by 35%.
- Developed a fast and scalable LLM inference service on GCP using Pub/Sub for asynchronous message processing, enabling low-latency moderation and reasoning generation over 150K–200K user messages daily.
- Fine-tuned smaller open-source LLMs using weakly supervised user message data to achieve comparable moderation performance to proprietary APIs while reducing inference cost.
- Automated dataset versioning and annotation checks via CI/CD and cloud triggers, ensuring data integrity across releases.
- Integrated evaluation and monitoring dashboards to track latency, drift, and violation trends for continuous improvement.
- Jul 2025 – Sep 2025
DevOps Engineer Intern@P.I. Works ↗
Istanbul, Turkey
- Contributed to internal DevOps AI agent development with LLMOps workflows, leveraging Retrieval-Augmented Generation (RAG), prompt engineering, and vector search to analyze commits and pipeline failures.
- Built and maintained CI/CD pipelines using GitLab CI/CD, Bash, and Python on Linux environments, automating dependency scanning, version tracking, and quality checks for greater reliability.
- Deployed and managed containerized applications on bare-metal Kubernetes clusters.
- Managed infrastructure observability through monitoring and alerting with Prometheus and Grafana, and centralized logging via the ELK Stack (Elasticsearch, Logstash, Kibana).
- Jan 2025 – Jun 2025
AI Research Assistant@COSMOS AI Research Group, Yildiz Technical University ↗
Istanbul, Turkey
- Selected for the TÜBİTAK 2247-C STAR Scholarship Program. Conducted research under the supervision of Prof. Mehmet Fatih Amasyalı.
- Fine-tuned Turkish Large Language Models (LLMs) to improve mathematical reasoning capabilities, curating and organizing custom datasets aligned with research objectives.
- Applied Reinforcement Learning (RL) to enhance reasoning and decision-making in NLP tasks, delivering a 20% improvement on Turkish grade-school math benchmarks with a compact model.
- Aug 2024 – Dec 2024
Machine Learning Engineer Intern@Insider One ↗
Istanbul, Turkey
- Supported the search team in building a high-scale, multi-indexed search platform for improved search relevancy and personalized e-commerce results.
- Contributed to batch and streaming pipelines for data ingestion, daily embedding extraction and large-scale vector indexing using AWS Lambda, SQS, S3, Kinesis Firehose, and Redis.
- Assisted in testing hybrid retrieval methods and reranking models for better multilingual search relevance in production.
- Contributed to the Faceted and Banner Merchandising features with FastAPI, Elasticsearch, and Spring Boot, enabling customizable search experiences for partners.
- Gained hands-on experience in ML workflows and model deployments using Airflow and SageMaker, and optimizing microservices on AWS, Kubernetes, and Docker.
- Configured and provisioned AWS EC2 instances using Terraform and Terragrunt to support internal tool development.
- Mar 2024 – May 2024
Big Data Research Assistant@Istanbul Bilgi University, Center for Financial Studies ↗
Istanbul, Turkey
- Contributed to an economic research project at the Center for Financial Studies (CEFIS) by scraping and analyzing large-scale inflation data, applying time series modeling for trend prediction, and automating pipelines with Scrapy, Playwright, Docker, and Cron to ensure efficient, reliable data collection.
- Jul 2023 – Sep 2023
Software Developer Intern@Insider One ↗
Istanbul, Turkey
- Built full-stack e-commerce personalization features with Node.js, developing REST APIs, scalable backend services for behavior tracking and customer segmentation, and contributing to CI/CD pipelines and codebase refactoring to ensure scalable, high-traffic platform performance.
03.Contact Me
Get In Touch
If you want to talk about opportunities and collaboration, my inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!