Hi, I’m Ziraddin Gulumjanli.
I architect scalable MLOps ecosystems that bridge the gap between AI research and production-grade products. Whether it’s designing multimodal RAG pipelines or CNN-based vision systems, I build the full lifecycle—orchestrating LLM workflows with LangChain, managing experiments with MLflow, and deploying containerized FastAPI clusters on Kubernetes. My focus is shipping automated, CI/CD-driven infrastructure on AWS that doesn't just work, but stays high-performing, monitored, and cost-effective at scale.
Python
Sckitlearn
Matplotlib
Keras
PyTorch
Keras
Tensorflow
ML Algorithms
CNN
LLM
FastAPI
Docker
MLflow
Airflow / Prefect
Kubernetes
Monitoring
Prometheus / Grafana
Evidently
Apache Spark
CI/CD (GitHub Actions)
GCP/ AWS (S3)/Azure