Hi, I’m Serdar İlder Çağlar
AI/ML Engineering Lead & Solutions Architect with a passion for building production-grade artificial intelligence systems that solve real-world problems.
What I Do
I specialize in architecting and implementing enterprise-scale AI solutions, with a particular focus on:
🤖 Retrieval-Augmented Generation (RAG) Systems
- Production-ready RAG implementations
- Advanced retrieval strategies and optimization
- Multi-modal and agentic RAG patterns
- Evaluation frameworks and MLOps integration
🚀 ML Engineering & Operations
- End-to-end ML pipeline design and implementation
- Model deployment and serving at scale
- ML infrastructure and platform engineering
- Performance optimization and monitoring
🏗️ AI Solutions Architecture
- System design for AI-powered applications
- Integration strategies for existing enterprise systems
- Scalability planning and technical decision making
- Cross-functional team leadership and technical guidance
Technical Expertise
Languages & Frameworks:
- Python, SQL, JavaScript
- PyTorch, TensorFlow, Hugging Face Transformers
- LangChain, LlamaIndex, Haystack
- FastAPI, Flask, Streamlit
ML & AI Platforms:
- AWS SageMaker, Google Cloud AI Platform
- MLflow, Weights & Biases, Neptune
- Docker, Kubernetes, Terraform
- Vector databases (Pinecone, Weaviate, Chroma)
Data Engineering:
- Apache Airflow, Spark, Kafka
- PostgreSQL, MongoDB, Redis
- ETL/ELT pipeline design
- Real-time data processing
Recent Focus
Currently, I’m deep into:
- Advanced RAG Architectures: Exploring cutting-edge patterns for enterprise RAG systems
- LLM Operations: Building robust production pipelines for large language model applications
- AI Agent Frameworks: Developing multi-agent systems for complex workflow automation
Let’s Connect
I’m always interested in discussing:
- AI/ML engineering challenges and solutions
- Production ML system design
- RAG implementation strategies
- Technical leadership in AI teams
Get in touch:
“Building AI systems that not only work in the lab, but thrive in production.”