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I am a seasoned Generative AI Engineer with a decade of experience delivering LLM-powered solutions across healthcare, finance, retail, and enterprise IT. I design end-to-end GenAI pipelines, build RAG-enabled knowledge systems, and deploy secure, scalable AI copilots for decision support. I thrive at the intersection of data engineering, ML, and DevOps, collaborating with cross-functional teams to ship production-grade AI that reduces processing times and improves operational efficiency while meeting strict regulatory controls.…I am a seasoned Generative AI Engineer with a decade of experience delivering LLM-powered solutions across healthcare, finance, retail, and enterprise IT. I design end-to-end GenAI pipelines, build RAG-enabled knowledge systems, and deploy secure, scalable AI copilots for decision support. I thrive at the intersection of data engineering, ML, and DevOps, collaborating with cross-functional teams to ship production-grade AI that reduces processing times and improves operational efficiency while meeting strict regulatory controls.

Sai Anand Reddy Singareddy

AI Engineer, Data Scientist, Full Stack Developer, +4

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I am a seasoned Generative AI Engineer with a decade of experience delivering LLM-powered solutions across healthcare, finance, retail, and enterprise IT. I design end-to-end GenAI pipelines, build RAG-enabled knowledge systems, and deploy secure, scalable AI copilots for decision support. I thrive at the intersection of data engineering, ML, and DevOps, collaborating with cross-functional teams to ship production-grade AI that reduces processing times and improves operational efficiency while meeting strict regulatory controls.…I am a seasoned Generative AI Engineer with a decade of experience delivering LLM-powered solutions across healthcare, finance, retail, and enterprise IT. I design end-to-end GenAI pipelines, build RAG-enabled knowledge systems, and deploy secure, scalable AI copilots for decision support. I thrive at the intersection of data engineering, ML, and DevOps, collaborating with cross-functional teams to ship production-grade AI that reduces processing times and improves operational efficiency while meeting strict regulatory controls.

Available to hire

I am a seasoned Generative AI Engineer with a decade of experience delivering LLM-powered solutions across healthcare, finance, retail, and enterprise IT. I design end-to-end GenAI pipelines, build RAG-enabled knowledge systems, and deploy secure, scalable AI copilots for decision support. I thrive at the intersection of data engineering, ML, and DevOps, collaborating with cross-functional teams to ship production-grade AI that reduces processing times and improves operational efficiency while meeting strict regulatory controls.

Skills

Experience Level

Expert

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Language

English

Fluent

Work Experience

Generative AI Engineer at New York Life Insurance

October 1, 2024 - Present

Delivered real-time Generative AI solutions for claims intelligence and underwriting copilots, enabling AI-driven decision-making across insurance workflows. Designed retrieval-augmented generation (RAG) pipelines for document understanding and policy Q&A; connected data from Amazon Redshift/RDS with S3 for context-aware retrieval; deployed GenAI services on AWS EKS with monitoring, security, and governance; applied parameter-efficient fine-tuning and automated end-to-end workflows with Airflow; evaluated systems with Prometheus/Grafana.

Generative AI/Data Scientist at Citigroup

April 1, 2022 - September 1, 2024

Delivered scalable AI/ML and near real-time Generative AI solutions for financial document intelligence, fraud analytics, and enterprise knowledge retrieval. Improved document classification by 16% and reduced fraud false positives by 12%; designed NLP and early-stage LLM-based solutions for summarization, regulatory Q&A, and transaction analysis; transformed pipelines into RAG architectures (LangChain, FAISS); integrated Snowflake with unstructured data in S3; built batch and near real-time data pipelines using PySpark; orchestrated workflows with Airflow; developed RESTful APIs with Python; applied ML models (Scikit-learn, XGBoost) and graph analytics with Neo4j; established CI/CD with Jenkins and governance for regulatory compliance.

AI/ML Engineer/Data Scientist at The Home Depot

August 1, 2020 - March 1, 2022

Delivered real-time ML solutions for customer experience optimization, product recommendations, and intelligent search. Improved recommendation relevance by 14% and engagement by 12% through AI-driven personalization; built NLP models for sentiment analysis and review classification; developed real-time inference APIs for recommendations; connected streaming data via Kafka and batch data via S3; engineered large-scale data processing with PySpark on EMR; orchestrated pipelines with Airflow; implemented CI/CD with Jenkins; collaborated across data engineering, product, and DevOps to ensure production readiness.

Data Scientist / ML Engineer at Anthem

January 1, 2019 - July 1, 2020

Developed ML solutions for healthcare claims automation and fraud detection on Azure-based data platforms. Improved fraud detection accuracy by 25% and reduced claims processing turnaround by 30%; built models (Random Forest, XGBoost, Logistic Regression, TensorFlow/Keras) for fraud detection and anomaly identification; designed scalable data ingestion (Azure Data Factory, Kafka) and feature pipelines with PySpark on Azure Databricks; developed NLP pipelines and deployed RESTful inferences on AKS; monitored with Azure Monitor and ensured HIPAA-compliance.

Software Developer at GGK Technologies

August 1, 2016 - December 1, 2018

Delivered backend-driven enterprise applications and data processing systems for workflow automation and content management; improved performance by 18% through backend optimization; migrated legacy Perl/PHP to Python, built RESTful APIs, and modeled relational data with MySQL/Oracle to support high-volume workloads; deployed on on-prem Linux servers with configuration and release management.