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Sayedebady User

@sayedebadyuser

Senior AI Engineer at New Relic building enterprise RAG and agentic AI platforms for technical and operational knowledge.

United States

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At New Relic, I architected an enterprise Generative AI and RAG platform for semantic retrieval and conversational access across technical and operational knowledge. I also built agentic workflows to automate investigations of telemetry, documentation, and distributed-system events.

At Amgen, I engineered production machine-learning pipelines for clinical, laboratory, manufacturing, and operational analytics. I developed classification and anomaly-detection models and implemented MLflow tracking and deployment workflows.

At Wolters Kluwer and Centric Consulting, I built predictive analytics pipelines, model inference services, and enterprise data workflows. My selected projects include an enterprise RAG platform, an agentic AI automation platform, and reusable MLOps and model-serving patterns.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

New Relic

Apr 2023 - Present (3 years 6 months)

Architected an enterprise Generative AI and RAG platform using Python, LangChain, LLM APIs, vector search, and cloud-native services. Built agentic workflows and scalable LLM inference APIs, and implemented LLMOps evaluation and observability.

Python Lang Chain LangGraph LLM APIs Vector Search fastAPI Docker Kubernetes Redis RAG AI Agents MLOps LLMOps CI CD

Machine Learning Engineer

Amgen

Jan 2020 - Mar 2023 (3 years 2 months)

Engineered production machine-learning pipelines using Python, PySpark, scikit-learn, Azure Databricks, MLflow, and Delta Lake. Developed classification and anomaly-detection models, NLP pipelines, and real-time inference workflows.

Python PySpark scikit learn Azure Databricks MLFlow Delta Lake Spark Structured Streaming Azure Event Hubs NLP Transformers Classification Anomaly Detection

Data & Machine Learning Engineer

Wolters Kluwer

Jan 2017 - Dec 2019 (2 years 11 months)

Built predictive analytics pipelines using Python, SQL, scikit-learn, AWS, and distributed data-processing frameworks. Developed supervised-learning models and engineered reusable Python and REST API services for model inference.

Python SQL scikit learn AWS REST APIs predictive modeling Classification Forecasting Feature Engineering Data Quality

AI/ML & Software Engineer

Centric Consulting

Oct 2014 - Dec 2016 (2 years 2 months)

Engineered enterprise data and application workflows using Python, SQL, Java, C#, Oracle, SQL Server, and ETL frameworks. Developed dimensional and analytical data models and optimized SQL and stored procedures.