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Hi, I’m Shiva Vangari, a Senior Consultant AI Engineer with over 4 years of experience building and deploying ML solutions in cloud environments. I specialize in Generative AI, Retrieval-Augmented Generation (RAG), and LLM-driven applications, applying supervised and unsupervised learning, NLP, and time-series forecasting to real-world problems. I’ve led multi-agent and RAG-oriented architectures in production, with a focus on efficiency, maintainability, and measurable business impact. I enjoy translating complex requirements into scalable, observable AI systems, collaborating with cross-functional teams, and continuously learning to stay ahead in a fast-evolving field. I’m passionate about designing robust pipelines, governance, and transparent AI that aligns with user needs and organizational goals.…Hi, I’m Shiva Vangari, a Senior Consultant AI Engineer with over 4 years of experience building and deploying ML solutions in cloud environments. I specialize in Generative AI, Retrieval-Augmented Generation (RAG), and LLM-driven applications, applying supervised and unsupervised learning, NLP, and time-series forecasting to real-world problems. I’ve led multi-agent and RAG-oriented architectures in production, with a focus on efficiency, maintainability, and measurable business impact. I enjoy translating complex requirements into scalable, observable AI systems, collaborating with cross-functional teams, and continuously learning to stay ahead in a fast-evolving field. I’m passionate about designing robust pipelines, governance, and transparent AI that aligns with user needs and organizational goals.

Shiva Vangari

AI Engineer, Data Scientist, Data Analyst, +2

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Hi, I’m Shiva Vangari, a Senior Consultant AI Engineer with over 4 years of experience building and deploying ML solutions in cloud environments. I specialize in Generative AI, Retrieval-Augmented Generation (RAG), and LLM-driven applications, applying supervised and unsupervised learning, NLP, and time-series forecasting to real-world problems. I’ve led multi-agent and RAG-oriented architectures in production, with a focus on efficiency, maintainability, and measurable business impact. I enjoy translating complex requirements into scalable, observable AI systems, collaborating with cross-functional teams, and continuously learning to stay ahead in a fast-evolving field. I’m passionate about designing robust pipelines, governance, and transparent AI that aligns with user needs and organizational goals.…Hi, I’m Shiva Vangari, a Senior Consultant AI Engineer with over 4 years of experience building and deploying ML solutions in cloud environments. I specialize in Generative AI, Retrieval-Augmented Generation (RAG), and LLM-driven applications, applying supervised and unsupervised learning, NLP, and time-series forecasting to real-world problems. I’ve led multi-agent and RAG-oriented architectures in production, with a focus on efficiency, maintainability, and measurable business impact. I enjoy translating complex requirements into scalable, observable AI systems, collaborating with cross-functional teams, and continuously learning to stay ahead in a fast-evolving field. I’m passionate about designing robust pipelines, governance, and transparent AI that aligns with user needs and organizational goals.

Available to hire

Hi, I’m Shiva Vangari, a Senior Consultant AI Engineer with over 4 years of experience building and deploying ML solutions in cloud environments. I specialize in Generative AI, Retrieval-Augmented Generation (RAG), and LLM-driven applications, applying supervised and unsupervised learning, NLP, and time-series forecasting to real-world problems. I’ve led multi-agent and RAG-oriented architectures in production, with a focus on efficiency, maintainability, and measurable business impact.

I enjoy translating complex requirements into scalable, observable AI systems, collaborating with cross-functional teams, and continuously learning to stay ahead in a fast-evolving field. I’m passionate about designing robust pipelines, governance, and transparent AI that aligns with user needs and organizational goals.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior Consultant AI Engineer at Xebia IT Architects

July 1, 2025 - Present

Deployed a multi-agent orchestration system using Azure AI Agent Service with task decomposition and specialized agents for parsing, enrichment, and detection, enabling parallel execution and reducing end-to-end latency by 55%. Built a PII detection engine processing structured and unstructured data via Azure AI Language Service with async batch operations, achieving sub-150ms latency through confidence-threshold guardrails and tiered redaction strategies. Developed Model Context Protocol servers enabling standardized LLM access to Databricks warehouses, Power BI via XMLA, and SharePoint Graph API, contributing to open standards for agentic AI tool integration. Optimized production RAG pipeline with LlamaIndex and Azure SDK, applying MMR, RRF, and cross-encoder reranking to improve retrieval precision by 40%. Integrated intent classification and dynamic persona switching using GPT-5 with chain-of-thought reasoning, enabling context-aware routing across technical, policy, and conversati

AI Engineer at Central Business Solutions Inc

January 1, 2024 - April 1, 2025

Led 10+ design thinking sessions with enterprise clients, identifying Generative AI and ML use cases. Created a multi-agent system using AutoGPT, CrewAI, LangGraph, and Autogen to design multi-step reasoning flows. Developed AI agents capable of performing RAG tasks, interacting with 100+ documents from diverse data sources. Contributed to agentic application design using Azure AI Foundry, leveraging orchestration tools for building autonomous multi-agent systems with tool-use, memory, and reasoning. Participated in early access evaluation of Agentic Web frameworks, assessing deployment strategies using Azure’s agent observability stack and multi-agent coordination tools. Utilized Azure Document Intelligence to process 100+ documents, extracting data from text, tables, and images. Indexed vector embeddings using OpenAI text-embedding-3-large, ada-002 within Azure AI Foundry. Evaluated RAG applications with PromptFlow, achieving high retrieval reliability. Engineered 100+ optimized pr

Machine Learning Engineer at Northwest Missouri State University

January 1, 2023 - December 1, 2023

Built LLM-powered chatbots for sentiment analysis, topic modeling, and named entity recognition, increasing efficiency by 25%. Developed a binary classification model using XGBoost and Random Forest to detect fraudulent transactions, improving detection precision by 28%. Enhanced chatbot accuracy by integrating Azure OpenAI GPT models, raising user satisfaction by 15%. Implemented LSTM-based time-series models for anomaly detection in financial logs, reducing undetected anomalies by 30%.

Data Engineer at NCR Corporation

February 1, 2021 - May 1, 2022

Trained a reinforcement learning agent using PyTorch to manage ATM revenue, improving optimization by 20%. Developed a KerasNLP-based summarizer that reduced documentation review times by 30%. Built a sentiment analysis model using TensorFlow to inform product decisions. Delivered a chatbot via Azure ML, encompassing the full ML pipeline, boosting response efficiency by 30%.

AI Intern at Master Works IT Solutions Private Limited

January 1, 2020 - January 1, 2021

Forecasted energy consumption with PyTorch LSTM models, cutting error rates by 22% over 12 months. Applied RNN models in TensorFlow to predict manufacturing demand, reducing inventory forecasting errors by 15%.