Hi, my name is
Eray Alp.
I’m a Software Engineer specializing in building intelligent, scalable, and production-ready systems. With a strong foundation in Machine Learning and NLP, my experience spans both Engineering and Applied AI. I focus on applying modern AI techniques to solve real-world problems.
01.About Me
I am a Software Engineer and Machine Learning enthusiast with a passion for building robust, intelligent systems. My experience bridges applied machine learning, natural language processing, and modern software engineering.
I work on everything from scalable backend services and automation pipelines to developing and deploying advanced AI models. I enjoy solving challenging problems at the intersection of AI, infrastructure, and production software.
I'm currently a DevOps Engineer Intern at P.I. Works, where I help design and maintain CI/CD pipelines, manage Kubernetes clusters, and contribute to internal AI agent development using LLMOps workflows. My work involves automating deployments, monitoring infrastructure, and supporting AI-driven solutions for telecom networks.
Previously, I conducted research at COSMOS AI Research Group, Yıldız Technical University, focusing on mathematical reasoning in large language models using reinforcement learning. As a Machine Learning Engineer Intern at Insider, I worked on semantic search pipelines, fine-tuning LLMs for search relevance, and deploying scalable ML services in production. Earlier, I contributed to data-driven research projects at Istanbul Bilgi University's Center for Financial Studies, working on predictive analytics and automation for economic data.
Some of the tools & technologies I enjoy working with:
- Python
- PyTorch
- FastAPI
- Docker
- Kubernetes
- AWS
- Go
- TypeScript
- Vue
- Linux
- Git
02.Experiences
- Jul 2025 – Present
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.
- Deployed and monitored applications on bare-metal Kubernetes clusters, automating CI/CD with GitLab to strengthen infrastructure reliability and scalability.
- Enhanced observability and infrastructure monitoring with Grafana and Prometheus, and managed centralized logging pipelines through the ELK Stack.
- 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.
- Developed and fine-tuned Turkish Large Language Models (LLMs) for improved reasoning capabilities, including curating and organizing datasets tailored to research objectives.
- Applied Reinforcement Learning (RL) techniques to enhance mathematical reasoning, logical inference, and structured decision-making in NLP tasks. Contributed to academic publications and collaborative research outputs.
- Aug 2024 – Dec 2024
Machine Learning Engineer Intern@Insider ↗
Istanbul, Turkey
- Supported the search team in a product’s semantic search pipeline by fine-tuning transformer models for relevance and contributing to query understanding/expansion services for personalized e-commerce results.
- Assisted in improving retrieval and ranking by experimenting with hybrid search (BM25 + dense embeddings) and evaluating trade-offs of cross-encoder reranking in production.
- Contributed to data ingestion, embedding extraction, and indexing pipelines that reduced query latency by 5–10%, leveraging AWS Lambda, SQS, S3, Kinesis Firehose, and Redis.
- Gained hands-on experience in ML workflows and model deployments using Airflow and SageMaker, and optimizing microservices on AWS, Kubernetes, and Docker.
- Developed and deployed features with Python FastAPI, Elasticsearch, and Java Spring Boot to support real-time search, while ensuring scalability and integration with cloud infrastructure.
- 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 ↗
Istanbul, Turkey
- Built full-stack e-commerce personalization features with Vue.js and 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 reliable, 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!