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I'm Rami Ahmad, AI Specialist, Data Scientist, and MLOps Engineer with 12+ years of IT experience. I design scalable AI systems, data pipelines, and MLOps automation across industries including energy, pharmaceutical, banking & financial services, and manufacturing. I specialize in Generative AI, NLP, RAG frameworks, and data-driven intelligence, leveraging Kafka, Airflow, BigQuery, Redshift, Snowflake, and cloud-native MLOps pipelines to automate end-to-end workflows. I prioritize data encryption, security compliance, and cloud governance to ensure reliable, enterprise-grade AI deployments.…I'm Rami Ahmad, AI Specialist, Data Scientist, and MLOps Engineer with 12+ years of IT experience. I design scalable AI systems, data pipelines, and MLOps automation across industries including energy, pharmaceutical, banking & financial services, and manufacturing. I specialize in Generative AI, NLP, RAG frameworks, and data-driven intelligence, leveraging Kafka, Airflow, BigQuery, Redshift, Snowflake, and cloud-native MLOps pipelines to automate end-to-end workflows. I prioritize data encryption, security compliance, and cloud governance to ensure reliable, enterprise-grade AI deployments.

Rami Ahmad

Data Scientist, AI Engineer, Full Stack Developer, +2

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I'm Rami Ahmad, AI Specialist, Data Scientist, and MLOps Engineer with 12+ years of IT experience. I design scalable AI systems, data pipelines, and MLOps automation across industries including energy, pharmaceutical, banking & financial services, and manufacturing. I specialize in Generative AI, NLP, RAG frameworks, and data-driven intelligence, leveraging Kafka, Airflow, BigQuery, Redshift, Snowflake, and cloud-native MLOps pipelines to automate end-to-end workflows. I prioritize data encryption, security compliance, and cloud governance to ensure reliable, enterprise-grade AI deployments.…I'm Rami Ahmad, AI Specialist, Data Scientist, and MLOps Engineer with 12+ years of IT experience. I design scalable AI systems, data pipelines, and MLOps automation across industries including energy, pharmaceutical, banking & financial services, and manufacturing. I specialize in Generative AI, NLP, RAG frameworks, and data-driven intelligence, leveraging Kafka, Airflow, BigQuery, Redshift, Snowflake, and cloud-native MLOps pipelines to automate end-to-end workflows. I prioritize data encryption, security compliance, and cloud governance to ensure reliable, enterprise-grade AI deployments.

Available to hire

I’m Rami Ahmad, AI Specialist, Data Scientist, and MLOps Engineer with 12+ years of IT experience. I design scalable AI systems, data pipelines, and MLOps automation across industries including energy, pharmaceutical, banking & financial services, and manufacturing.

I specialize in Generative AI, NLP, RAG frameworks, and data-driven intelligence, leveraging Kafka, Airflow, BigQuery, Redshift, Snowflake, and cloud-native MLOps pipelines to automate end-to-end workflows. I prioritize data encryption, security compliance, and cloud governance to ensure reliable, enterprise-grade AI deployments.

Skills

Experience Level

Expert

Expert

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Expert

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Intermediate

Intermediate

Work Experience

Lead AI Engineer at NRG Energy

January 1, 2024 - Present

Led the end-to-end design and development of a scalable multi-agent AI system to automate customer engagement across digital channels. Implemented Azure AI infrastructure and OpenAI models via the Azure OpenAI Service for secure enterprise deployment, orchestrated with the Agents SDK. Built a shared context layer supported by vector search and retrieval-augmented generation to access customer and product knowledge. Developed Python-based APIs and microservices to connect the system with CRM and billing platforms for real-time data synchronization. Deployed on Azure Kubernetes Service with automated CI/CD for model updates and testing. Established monitoring and evaluation tools to track agent performance, response quality, and customer satisfaction, and iteratively fine-tuned prompts to improve relevance. Maintained data governance, security, and compliance standards to enable scalable, responsible AI expansion.

Senior AI & ML Engineer at Novartis

September 1, 2021 - December 1, 2023

Designed and deployed a Retrieval-Augmented Generation (RAG) architecture integrating OpenAI models with Pinecone for semantic retrieval of regulatory and pharmaceutical documents. Built ingestion and preprocessing pipelines to extract and clean unstructured text from research papers, drug monographs, and compliance records. Generated dense embeddings using OpenAI’s text-embedding-ada-002 and indexed them in Pinecone for efficient similarity search. Developed a FastAPI-based backend service (containerized) on AWS with secure access controls and governance. Implemented evaluation metrics for retrieval relevance and factual accuracy, refining prompts based on user feedback. Reduced manual document review time and improved the accuracy of regulatory information retrieval, while ensuring governance and audit readiness through logging and access controls.

Lead MLOps & NLP Engineer at Citibank

March 1, 2020 - August 1, 2021

Led productization and deployment of customer retention predictive analytics. Collaborated with data scientists to modularize workflows and ensure reproducibility. Standardized model tracking with MLflow and experiment monitoring with Weights & Biases; containerized workflows with Docker and orchestrated deployments on Kubernetes; implemented CI/CD with Jenkins; integrated model validation steps to meet governance standards. Built automated data pipelines with Apache Airflow for feature extraction and data refresh; optimized inference latency by exposing models behind RESTful APIs; configured monitoring dashboards to track drift and performance in production. Maintained security and audit compliance across teams and established a scalable ML-Ops framework adopted by analytics groups.

Senior Data Scientist at Schlumberger

November 1, 2018 - February 1, 2020

Developed machine learning and optimization models for predictive maintenance using time-series data from field sensors and lab experiments. Implemented supervised and unsupervised methods with Python, scikit-learn, and TensorFlow; performed feature engineering and integrated heterogeneous data sources into a unified analytics framework. Conducted model validation and sensitivity analyses, documented methodologies, and presented results to researchers. The work improved downtime forecasting and resource allocation decisions and supported integration of predictive insights into maintenance workflows, with emphasis on reproducibility.

Data Scientist & NLP Engineer at Allstate Insurance

February 1, 2017 - October 1, 2018

Built predictive risk models (logistic regression, GLMs, random forests) to support underwriting and pricing. Analyzed policyholder and claims data, integrating external demographic and credit data for segmentation. Automated feature extraction and model scoring pipelines; deployed inference services behind REST APIs and monitored performance and drift. Applied NLP to claim notes and customer communications to identify indicators of potential fraud and improve risk segmentation. Collaborated with actuarial and marketing teams to ensure regulatory compliance and business impact.

Data Scientist at Volkswagen of America

January 1, 2015 - February 1, 2017

Developed predictive maintenance analytics for production equipment using survival analysis (Cox Proportional Hazards and Accelerated Failure Time). Built data preprocessing pipelines with Pandas, NumPy, and SciPy; performed cross-validation and concordance index evaluation. Integrated predictions into maintenance scheduling and created Tableau/Excel dashboards for non-technical stakeholders. Participated in Agile sprints to define requirements and deployment planning; ensured reproducibility with Git version control.

Python Programmer at Tormach

January 1, 2013 - December 1, 2014

Created Python-based tools to monitor and analyze production data; built predictive models with scikit-learn; performed anomaly detection and automated data collection with Pandas. Developed visual dashboards with Matplotlib and integrated models into control systems. Ensured reproducibility with Git; supported continuous improvement and deployment of predictive maintenance capabilities.