Ravi Teja

Senior AI/ML & Data Engineer with 8+ years of experience designing and delivering large-scale, cloud-native AI and data platforms across Azure, AWS, GCP, and Oracle Cloud Infrastructure (OCI). I specialize in Generative AI, LLM orchestration, RAG architectures, Python, Apache Spark, SQL, and enterprise-grade MLOps pipelines, transforming complex data into reliable, decision-ready insights and intelligent systems. I’ve led end-to-end AI and data engineering initiatives across diverse sectors, including healthcare, telecommunications, and intelligent systems, for global leaders like Oracle, Cisco, Elevance Health. My work includes architecting HIPAA-compliant Gen AI solutions for clinical insights, developing autonomous analytical agent ecosystems for predictive business intelligence, and optimizing customer retention through ML-driven churn prediction models. I have a proven track record of migrating legacy BI to AI-driven platforms, building real-time streaming pipelines, and delivering solutions that significantly enhance operational efficiency and strategic decision-making. Technically, I’m strongest in LLM fine-tuning (GPT-3, Llama-2, PaLM AI), LangGraph, LangChain, PyTorch, TensorFlow, Hugging Face, Apache Spark/Flink, Kubernetes, Docker, and vector databases (Pinecone, Weaviate). I possess deep expertise in data modeling (star/snowflake), advanced SQL, and integrating AI with robust governance and observability layers (MLflow). I’m motivated by building scalable, reliable AI and data systems that directly impact business outcomes and drive innovation. I enjoy collaborating closely with data science, product, and executive stakeholders to translate complex challenges into high-impact, production-ready solutions. 📩 Open to senior AI/ML engineering, Gen AI architect, cloud data platform, and intelligent systems roles. Let’s connect and build something impactful.