As a dual-degree graduate in Electrical-Electronics and Computer Engineering, my passion is to build innovative solutions in MLOps, Generative AI, and Natural Language Processing (NLP). I am dedicated to continuous learning and driven by a strong motivation to master the latest technologies.

My Work

MLOps & AI Engineer – Acedemand IT (06/2024 – Present)

I design and manage end-to-end MLOps processes on Google Cloud. My key responsibilities include:

• Architecting fully automated pipelines to ingest real-time metrics (Prometheus) into BigQuery, triggering model training workflows on Vertex AI.
• Fine-tuning large language models like Gemma 2b using a distributed training approach with a Ray cluster on Google Kubernetes Engine (GKE).
• Designing scalable cloud infrastructure with Terraform and implementing robust CI/CD pipelines (GitHub Actions, Cloud Build) for automated deployments to Kubernetes.
• Developing high-performance Retrieval-Augmented Generation (RAG) systems and multi-AI agents using technologies like LangChain, CrewAI, and vLLM.

NLP Engineer – Westerops

In this role, I developed a range of NLP solutions, tackling tasks like sentiment analysis, NER, and text classification. Working with BERT and Transformer-based models, this work culminated in presenting our team's research—including a Turkish Temporal Extractor Library and an extensible chatbot architecture—at three engineering conferences.

Certifications & Expertise

My expertise in cloud and artificial intelligence is validated by the following Google Cloud certifications.

• Google Cloud - Professional Machine Learning Engineer
• Google Cloud - Associate Cloud Engineer
• Google Cloud - Professional Generative AI Leader