Manpreet Singh Kullar

Background

About Manpreet Singh Kullar

DevOps | MLOps | Data Engineering | Generative AI I am a results-driven engineer with 3+ years of experience in building cloud-native infrastructure, data pipelines, and AI-driven solutions. My expertise lies at the intersection of DevOps, Data Engineering, and Generative AI, where I design scalable systems that accelerate innovation. DevOps & Cloud – Skilled in AWS, Azure, Kubernetes, Docker, Terraform, Jenkins, and CI/CD automation for seamless deployments. Experienced in infrastructure as code and monitoring solutions (Prometheus, Grafana, ELK, Datadog). Data Engineering & MLOps – Strong background in PySpark, Databricks, Airflow, MLflow, and SQL, enabling large-scale data processing, ETL pipelines, and production-ready ML workflows. Generative AI – Hands-on with LangChain, HuggingFace Transformers, RAG pipelines, vector databases (Pinecone, FAISS, Weaviate), and LLM fine-tuning (LoRA, QLoRA, PEFT). Passionate about building enterprise-ready GenAI applications using advanced LLM architectures and prompt engineering. I enjoy solving real-world problems by combining automation, AI, and cloud to deliver secure, scalable, and efficient solutions. Specialties: DevOps, MLOps, Cloud Solutions, Data Engineering, Generative AI, CI/CD Automation, Scalable AI Pipelines