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
- HuggingFace
- Docker
- Kubernetes
- AWS
- Go
- TypeScript
- Vue.js
02.Experiences
- Jul 2025 – Present
DevOps Engineer Intern@P.I. Works ↗
Istanbul, Turkey
- Assisted in building and maintaining CI/CD pipelines using GitLab, Bash, and Python to automate deployments, testing, and code quality checks.
- Supported deployments in a bare-metal Kubernetes cluster, contributing to the management of key DevOps services including PostgreSQL, Prometheus, and Grafana.
- Helped monitor infrastructure health using Grafana dashboards, collected performance metrics, and worked with centralized logging via the ELK Stack.
- Contributed to internal AI agent development using LLMOps workflows, including RAG architecture, prompt engineering, and vector search.
- Gained hands-on experience managing Linux servers and participating in automation efforts across development and deployment workflows.
- 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 Prof. Mehmet Fatih Amasyalı on the project “New Approaches for Text Representation and Text Generation with Neural Language Models.”
- 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
- Collaborated with the search team on a product to enhance semantic search features and optimize a neural search pipeline, personalizing results for e-commerce partners and improving APIs.
- Supported NLP-driven search features by fine-tuning language models for relevance, implementing spell correction, suggestion algorithms, and ranking techniques to boost query understanding and intent detection.
- Developed and deployed REST services using Python FastAPI, Elasticsearch, and Java Spring Boot to enable real-time search and improve user experience.
- Contributed to embedding extraction and indexing, reducing query time by 5-10%. Learned about the semantic search pipeline using AWS Lambda, Redis, Amazon ECS, Amazon S3, and Kinesis Firehose.
- Enhanced scalable ML workflows and model deployment using Apache Airflow and Amazon SageMaker, while streamlining microservices architecture with AWS, Docker, and Kubernetes.
- Mar 2024 – May 2024
Big Data Research Assistant@Istanbul Bilgi University, Center for Financial Studies ↗
Istanbul, Turkey
- Contributed to a web scraping project at the Center for Financial Studies (CEFIS), focusing on gathering and analyzing inflation data to support an economic research.
- Conducted in-depth analysis of large datasets, applying advanced data mining techniques to develop predictive models that accurately predict inflation trends using time series data, leading to valuable insights for research.
- Automated the web scraping process using Scrapy, Playwright, Docker and Cron, significantly enhancing data collection efficiency by addressing API throttling issues and ensuring reliable, uninterrupted data flow.
- Jul 2023 – Sep 2023
Software Developer Intern@Insider ↗
Istanbul, Turkey
- Developed full-stack features for e-commerce personalization tools using Vue.js and Node.js, integrating RESTful APIs to deliver dynamic campaign experiences.
- Engineered backend services for user behavior tracking and real-time customer segmentation, contributing to scalable recommendation system infrastructure.
- Collaborated in an Agile team to refactor legacy codebases, implement CI/CD pipelines, and ensure robust frontend performance across high-traffic client platforms.
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!