Hi, I’m Shiva Prasad Yadav Gundeboina, a Full Stack & AI Engineer with 9+ years of experience delivering scalable enterprise solutions across finance, healthcare, and retail. I design and build AI-enabled platforms and data pipelines using Python, Java, and cloud services to drive measurable business outcomes. I thrive on creating human-in-the-loop annotation systems, robust evaluation frameworks, and interactive dashboards that empower stakeholders to act on insights and improve model quality. I’m proficient in end-to-end software delivery—from backend data processing to rich front-end interfaces—while maintaining strong emphasis on data governance, security, and compliance. I enjoy collaborating with cross-functional teams to translate complex requirements into reliable solutions, and I continuously explore new tools and techniques to accelerate delivery and boost data quality across enterprise annotation workflows.

Shiva Prasad Yadav Gundeboina

Hi, I’m Shiva Prasad Yadav Gundeboina, a Full Stack & AI Engineer with 9+ years of experience delivering scalable enterprise solutions across finance, healthcare, and retail. I design and build AI-enabled platforms and data pipelines using Python, Java, and cloud services to drive measurable business outcomes. I thrive on creating human-in-the-loop annotation systems, robust evaluation frameworks, and interactive dashboards that empower stakeholders to act on insights and improve model quality. I’m proficient in end-to-end software delivery—from backend data processing to rich front-end interfaces—while maintaining strong emphasis on data governance, security, and compliance. I enjoy collaborating with cross-functional teams to translate complex requirements into reliable solutions, and I continuously explore new tools and techniques to accelerate delivery and boost data quality across enterprise annotation workflows.

Available to hire

Hi, I’m Shiva Prasad Yadav Gundeboina, a Full Stack & AI Engineer with 9+ years of experience delivering scalable enterprise solutions across finance, healthcare, and retail. I design and build AI-enabled platforms and data pipelines using Python, Java, and cloud services to drive measurable business outcomes. I thrive on creating human-in-the-loop annotation systems, robust evaluation frameworks, and interactive dashboards that empower stakeholders to act on insights and improve model quality.

I’m proficient in end-to-end software delivery—from backend data processing to rich front-end interfaces—while maintaining strong emphasis on data governance, security, and compliance. I enjoy collaborating with cross-functional teams to translate complex requirements into reliable solutions, and I continuously explore new tools and techniques to accelerate delivery and boost data quality across enterprise annotation workflows.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Expert
Beginner
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Language

English
Fluent

Work Experience

AI Engineer at PNC
February 1, 2024 - Present
Designed an enterprise-grade AI annotation and evaluation platform using Python, FastAPI, and React to streamline human-in-the-loop validation, improving model accuracy by 28% across financial document processing systems. Built scalable data infrastructure with AWS S3, AWS Glue, and Amazon Redshift for secure, low-latency access to structured and unstructured datasets. Implemented automated labeling and evaluation pipelines with Apache Airflow, PyTorch, and Hugging Face Transformers, reducing annotation turnaround by 35% while maintaining labeling consistency. Developed annotation assistance tools with spaCy and BERT for pre-labeling, boosting annotator productivity by 40%. Enhanced automated scoring with OpenAI API and Pandas, and built reviewer dashboards with React/Redux/D3.js. Integrated real-time content moderation with AWS Lambda and Amazon Comprehend. Added rule-based validation with JSON Schema, versioned datasets with DVC and Git, QA workflows with NLTK and scikit-learn, and R
Full-Stack & AI Developer at McKesson
June 1, 2021 - January 1, 2024
Designed a healthcare AI data annotation and validation platform using Java, Spring Boot, and Angular, enabling structured clinical labeling that improved AI model accuracy by 25%. Built scalable storage using Azure Blob Storage, Azure Data Factory, and SQL Server for ingesting, transforming, and securely storing annotated clinical data. Orchestrated end-to-end annotation pipelines with Apache Airflow, Python, and TensorFlow for medical text and imaging data. Built AI-assisted annotation tools with scikit-learn and spaCy to reduce manual tagging. Implemented full-stack reviewer interfaces with Angular/TypeScript, integrated NLP pipelines with NLTK and TensorFlow, and enforced data validation with Java/JSON Schema/Spring Boot. Implemented secure authentication with OAuth 2.0 and Azure AD; CI/CD with Azure DevOps and Docker; dashboards with Power BI and SQL; leveraged Kubernetes for scalable deployments; ensured HIPAA-compliant data handling with encryption and audit logging.
Full-Stack Developer at Reliance Retail, Mumbai, India
September 1, 2018 - April 1, 2021
Built and optimized relational database schemas (MySQL/SQL Server) and implemented robust REST/SOAP APIs. Conducted code reviews and unit testing (JUnit/NUnit), integrated Backbone.js with back-end services, and deployed across staging/production with CI/CD (Jenkins, Maven). Developed dynamic, responsive front-end UIs using HTML5/CSS3/JavaScript/jQuery; created reusable UI components; monitored performance; and implemented SEO best practices. Deployed and managed applications on AWS EC2/S3, enabling scalable retail solutions and improved data integrity across transactional systems.
Front-End Developer at TATA AIG General Insurance Company Limited, Mumbai, India
July 1, 2016 - August 1, 2018
Optimized website performance through asset compression and efficient front-end code, integrated AJAX-enabled server calls for real-time data, and collaborated with UX/UI designers to translate wireframes into responsive interfaces. Implemented client-side validation, cross-browser compatibility, and scalable web components. Deployed applications on AWS EC2/S3, configured CI/CD workflows, and conducted comprehensive testing to ensure reliability and accessibility.

Education

BTech in Computer Science and Engineering at JNTUH, India
June 1, 2012 - May 1, 2016

Qualifications

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Industry Experience

Software & Internet, Financial Services, Healthcare, Retail, Professional Services