Kiranmai Arva

I am an AI & Data Engineer with expertise in building scalable, intelligent applications leveraging LangChain, LangGraph, and advanced LLM-based techniques. I specialize in creating end-to-end AI systems that integrate semantic search, document processing, and retrieval-augmented generation (RAG) pipelines, enhancing the capabilities of large language models. By combining cutting-edge technologies like Azure OpenAI GPT-4 and vector databases (e.g., Azure Cognitive Search), I optimize AI performance, ensuring low-latency, high-quality, and contextually relevant responses. With a strong foundation in Azure cloud services, I design and implement end-to-end data pipelines using Azure Data Factory, Databricks, and Delta Lake architecture. My experience spans building automated workflows, optimizing data quality, and implementing MLOps practices for model deployment, monitoring, and evaluation. I’ve integrated various AI models for predictive analytics, real-time telemetry data analysis, and system automation, delivering significant operational efficiency gains. I am passionate about bridging the gap between complex technical solutions and business needs, ensuring that data and AI systems drive measurable impact. Whether it's fine-tuning LLM prompts, orchestrating LangChain agents, or designing production-ready architectures, I thrive on building AI-powered solutions that push the boundaries of what's possible. Always eager to collaborate I aim to continue advancing the field through continuous learning and innovation.