I'm a Senior GenAI Engineer with 9+ years delivering end-to-end AI, ML, data engineering, and enterprise solutions. I design and deploy LLM-powered applications, build RAG systems, and ensure production-ready, observable AI platforms. I enjoy collaborating with stakeholders across IT and business to translate complex problems into scalable, secure AI-driven outcomes. I'm passionate about reliability, clean interfaces, and long-term operational success, and I thrive in regulated environments where governance and risk considerations matter.

Shiva Saidula

I'm a Senior GenAI Engineer with 9+ years delivering end-to-end AI, ML, data engineering, and enterprise solutions. I design and deploy LLM-powered applications, build RAG systems, and ensure production-ready, observable AI platforms. I enjoy collaborating with stakeholders across IT and business to translate complex problems into scalable, secure AI-driven outcomes. I'm passionate about reliability, clean interfaces, and long-term operational success, and I thrive in regulated environments where governance and risk considerations matter.

Available to hire

I’m a Senior GenAI Engineer with 9+ years delivering end-to-end AI, ML, data engineering, and enterprise solutions. I design and deploy LLM-powered applications, build RAG systems, and ensure production-ready, observable AI platforms. I enjoy collaborating with stakeholders across IT and business to translate complex problems into scalable, secure AI-driven outcomes.

I’m passionate about reliability, clean interfaces, and long-term operational success, and I thrive in regulated environments where governance and risk considerations matter.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Gen AI Engineer at Citi Bank
August 1, 2024 - Present
Designed and delivered an enterprise GenAI platform to support internal decision-making, workflow automation, and knowledge retrieval; built end-to-end Retrieval-Augmented Generation (RAG) pipelines with LangChain, embeddings, and semantic search; implemented robust prompt engineering, secure RBAC, and production-grade back-end services; containerized with Docker and deployed on AWS; established LLMOps, monitoring, and evaluation frameworks; integrated legacy systems and collaborated with compliance and risk teams.
AI Engineer at MedAxis HealthTech Solutions
March 1, 2022 - August 1, 2024
Designed healthcare AI analytics platform; built data pipelines (Python, SQL, Snowflake, AWS S3); orchestrated ETL with Airflow; engineered features; trained/evaluated ML models; integrated models into backend services via FastAPI/REST; created Snowflake data models; built Power BI dashboards; implemented data validation and RBAC; deployed on AWS; collaborated with clinical stakeholders; supported modernization efforts.
NLP Engineer at Sutter Health
July 1, 2020 - February 1, 2022
Led development of healthcare AI/NLP platform to extract insights from unstructured clinical and operational text; built NLP pipelines with SpaCy/NLTK; NER and text classification; applied TF-IDF and embeddings; integrated NLP outputs into backend services via REST; maintained structured and unstructured data pipelines; supported analytics and modernization efforts; provided production support.
Data Engineer at MetLife
February 1, 2019 - June 1, 2020
Designed scalable data pipelines to support insurance risk and customer analytics; optimized SQL queries, CTEs, and stored procedures; batch ingestion from multiple sources; designed dimensional data models; automated recurring data processing tasks; implemented data validation and quality checks; supported production environments and contributed to modernization of legacy workflows.
Data Analyst at Happiest Minds Technologies
August 1, 2016 - December 1, 2018
Analyzed enterprise datasets; developed complex SQL queries; built interactive dashboards (Tableau/Power BI); designed structured data models; performed data validation and QA; collaborated with business users to translate requirements into KPIs and reports; supported legacy reporting systems while contributing to enhancements.

Education

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Qualifications

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Industry Experience

Financial Services, Healthcare, Software & Internet