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Hi, I'm Shivani, an experienced AI/ML Engineer and Data Analyst with over 7 years of designing and implementing end-to-end Generative AI solutions, ML and RAG pipelines, and ETL workflows across diverse industries. I specialize in deploying scalable machine learning systems integrating cloud-native technologies with strong MLOps practices for cost-effective and high-performance AI applications. Over the years, I've worked extensively with LLM fine-tuning, healthcare NLP, computer vision, and distributed training on platforms like GCP, Azure, and AWS. I enjoy collaborating with cross-functional teams to deliver robust AI-driven products that improve operational efficiency and customer experience.…Hi, I'm Shivani, an experienced AI/ML Engineer and Data Analyst with over 7 years of designing and implementing end-to-end Generative AI solutions, ML and RAG pipelines, and ETL workflows across diverse industries. I specialize in deploying scalable machine learning systems integrating cloud-native technologies with strong MLOps practices for cost-effective and high-performance AI applications. Over the years, I've worked extensively with LLM fine-tuning, healthcare NLP, computer vision, and distributed training on platforms like GCP, Azure, and AWS. I enjoy collaborating with cross-functional teams to deliver robust AI-driven products that improve operational efficiency and customer experience.

Shivani G odugu

AI Engineer, Data Analyst, Developer, +1

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Hi, I'm Shivani, an experienced AI/ML Engineer and Data Analyst with over 7 years of designing and implementing end-to-end Generative AI solutions, ML and RAG pipelines, and ETL workflows across diverse industries. I specialize in deploying scalable machine learning systems integrating cloud-native technologies with strong MLOps practices for cost-effective and high-performance AI applications. Over the years, I've worked extensively with LLM fine-tuning, healthcare NLP, computer vision, and distributed training on platforms like GCP, Azure, and AWS. I enjoy collaborating with cross-functional teams to deliver robust AI-driven products that improve operational efficiency and customer experience.…Hi, I'm Shivani, an experienced AI/ML Engineer and Data Analyst with over 7 years of designing and implementing end-to-end Generative AI solutions, ML and RAG pipelines, and ETL workflows across diverse industries. I specialize in deploying scalable machine learning systems integrating cloud-native technologies with strong MLOps practices for cost-effective and high-performance AI applications. Over the years, I've worked extensively with LLM fine-tuning, healthcare NLP, computer vision, and distributed training on platforms like GCP, Azure, and AWS. I enjoy collaborating with cross-functional teams to deliver robust AI-driven products that improve operational efficiency and customer experience.

Available to hire

Hi, I’m Shivani, an experienced AI/ML Engineer and Data Analyst with over 7 years of designing and implementing end-to-end Generative AI solutions, ML and RAG pipelines, and ETL workflows across diverse industries. I specialize in deploying scalable machine learning systems integrating cloud-native technologies with strong MLOps practices for cost-effective and high-performance AI applications.

Over the years, I’ve worked extensively with LLM fine-tuning, healthcare NLP, computer vision, and distributed training on platforms like GCP, Azure, and AWS. I enjoy collaborating with cross-functional teams to deliver robust AI-driven products that improve operational efficiency and customer experience.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Software Engineer, ML at Walmart

November 1, 2024 - Present

Led end-to-end GenAI solution development involving raw data ingestion, preprocessing, fine-tuning, and deployment, achieving a 30% reduction in implementation time. Created a production-grade Retrieval-Augmented Generation pipeline integrating product data and policies, raising answer accuracy from 68% to 89%. Developed automated pipelines processing product images and text using Vision AI and Natural Language API for real-time inference. Engineered distributed training workflows on GCP TPUs customizing open-source LLMs for retail applications. Standardized MLOps pipelines with automated quality checks and drift monitoring ensuring continuous model training and deployment. Optimized inference serving combining Vertex AI Prediction with quantization and adaptive batching to reduce costs by 40% while maintaining sub-second latency.

Machine Learning Engineer - Computer Vision & NLP at Tata Consultancy Services

May 31, 2024 - August 22, 2025

Designed scalable Azure ML pipelines for processing clinical healthcare text such as notes, prescriptions, and discharge summaries enabling large-scale text analytics. Developed medical entity extraction models using BERT, spaCy, and Hugging Face transformers. Built intent classification and QA modules to enhance chatbot accuracy deployed as RESTful APIs using Azure Functions. Automated data ingestion and preprocessing workflows with Azure Data Factory. Managed CI/CD pipelines using Azure DevOps integrating MLflow and Evidently for model tracking and drift detection. Ensured HIPAA-compliant data handling in collaborations with healthcare experts. Developed AWS SageMaker pipelines for mortgage document processing with CNN and ViT models for classification. Integrated OCR and NLP for printed and handwritten text extraction deployed via AWS Lambda for low latency. Automated workflows with AWS Glue and accelerated training on EC2 GPUs using Horovod, deploying containerized models on AWS EK

Python Developer (Data Engineering & Cloud) at Thomson Reuters

April 30, 2021 - August 22, 2025

Developed and maintained performant Python applications on Microsoft Azure supporting financial and legal data operations. Built and deployed RESTful APIs and microservices using Flask and FastAPI on Azure App Services, reducing latency by 20%. Optimized real-time data processing with Azure Functions, Azure SQL, and Cosmos DB lowering query response times by 30%. Implemented CI/CD pipelines with Azure DevOps automating testing and deployments increasing release efficiency by 40%. Led legacy system refactoring during Azure Kubernetes Service migration improving scalability and maintainability. Integrated Azure Active Directory and OAuth 2.0 for secure authentication aligning with data governance policies. Actively participated in Agile methodologies and collaborated with cross-functional teams to meet business requirements.

Data Engineer with Python at Quadrant Technologies

October 31, 2019 - August 22, 2025

Developed and optimized ETL pipelines with Python, PySpark, and Pandas enhancing data processing efficiency by 40%. Designed scalable data solutions on Azure and GCP reducing query times. Automated data workflows using Apache Airflow improving reliability and reducing manual effort. Built RESTful APIs with FastAPI, Flask, and Django for seamless data integration. Implemented data modeling and warehousing using SQL and NoSQL databases. Deployed serverless functions and containerized apps on cloud platforms for scalable cost-efficient solutions. Performed data analysis and visualization with Matplotlib, Seaborn, and Tableau generating actionable insights. Improved data security through IAM policies and encryption. Collaborated cross-functionally to translate business needs into technical solutions. Optimized database performance cutting query execution time by 25%.