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Sai Hemanth Paturi - Data Scientist/AI/ML Engineer

[email protected]

Location: Milwaukee, Wisconsin, USA

Relocation: Yes

Visa: Green Card

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Sai Hemanth Paturi Generative AI & Machine Learning Engineer Charlotte, NC | US Citizen Professional Summary I am a dedicated Generative AI and Machine Learning Engineer with over ten years of experience building and architecting enterprise-scale solutions across the financial, healthcare, and retail sectors. My career is defined by a deep commitment to pushing the boundaries of autonomous systems, specifically through the design and implementation of Agentic AI frameworks and multi-agent orchestrations. I possess a comprehensive technical background that spans the entire machine learning lifecycle, from initial data ingestion and sophisticated feature engineering to the deployment of production-grade models within highly regulated environments. I specialize in bridging the gap between complex architectural needs and operational execution, ensuring that AI initiatives drive measurable business value while adhering to strict governance and security standards. Technical Expertise My core technical toolkit is centered on advanced Python development and the application of modern AI frameworks such as LangChain, LangGraph, and CrewAI for building self-correcting, autonomous agents. I am an expert in the AWS ecosystem, having spent years optimizing large-scale data pipelines with Glue, Spark, and EMR, and deploying models via SageMaker and Bedrock. My experience extends to the Google Cloud Platform, where I leverage Vertex AI and BigQuery to architect high-performance data and ML solutions. I have a profound understanding of the Model Context Protocol (MCP) and have designed secure server-side adapters to give AI agents structured access to enterprise tools and data sources. My work in Retrieval-Augmented Generation (RAG) involves creating sophisticated vector-based search systems using Pinecone and FAISS, integrated with complex orchestration layers to minimize hallucinations and ensure factual grounding. Professional Experience Throughout my tenure as a Senior AI/ML Engineer, I have led high-impact projects that transformed how organizations leverage their data. In the healthcare digital space, I architected multi-agent systems to streamline operational workflows, including meal ordering and task management, by implementing custom planning and QA agents. In the financial sector, I designed robust fraud detection and anomaly detection models using Graph Neural Networks and deep learning techniques, ensuring high availability and low-latency performance. My role often involves leading technical teams through the complexities of MLOps and LLMOps, where I establish automated CI/CD pipelines and monitoring frameworks to maintain model integrity in production. I have successfully partnered with cross-functional leadership to prioritize high-value AI opportunities and am known for my ability to translate highly technical concepts into actionable strategy for non-technical stakeholders. Education and Certification I hold a Bachelor s degree in a relevant technical field and have consistently updated my skills through advanced certifications in cloud architecture and machine learning. My academic background in data science and information technology management provided the foundational logic required to manage the massive datasets and complex relational models I work with today. I am a lifelong learner, constantly researching and evaluating new agentic models and planning algorithms to ensure the solutions I build remain at the forefront of the industry. Keywords: continuous integration continuous deployment quality analyst artificial intelligence machine learning access management North Carolina