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I am a Senior Data Scientist and AI Engineer with 12+ years of experience designing, building, and deploying enterprise-scale data science, ML, and Generative AI solutions across cloud environments (primarily Azure) and on AWS. I lead end-to-end data science pipelines, predictive analytics, and production-grade AI platforms that drive measurable business impact on multi-million-record datasets. I specialize in GenAI architectures, RAG, multi-agent orchestration, MLOps, and explainable AI, delivering scalable solutions for fraud detection, customer intelligence, forecasting, and operational excellence. I enjoy mentoring teams, collaborating with stakeholders, and continuously applying cutting-edge AI research to real-world problems.…I am a Senior Data Scientist and AI Engineer with 12+ years of experience designing, building, and deploying enterprise-scale data science, ML, and Generative AI solutions across cloud environments (primarily Azure) and on AWS. I lead end-to-end data science pipelines, predictive analytics, and production-grade AI platforms that drive measurable business impact on multi-million-record datasets. I specialize in GenAI architectures, RAG, multi-agent orchestration, MLOps, and explainable AI, delivering scalable solutions for fraud detection, customer intelligence, forecasting, and operational excellence. I enjoy mentoring teams, collaborating with stakeholders, and continuously applying cutting-edge AI research to real-world problems.

Abdul Basheer Mohammed

Data Scientist, AI Engineer, Cloud Developer, +2

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I am a Senior Data Scientist and AI Engineer with 12+ years of experience designing, building, and deploying enterprise-scale data science, ML, and Generative AI solutions across cloud environments (primarily Azure) and on AWS. I lead end-to-end data science pipelines, predictive analytics, and production-grade AI platforms that drive measurable business impact on multi-million-record datasets. I specialize in GenAI architectures, RAG, multi-agent orchestration, MLOps, and explainable AI, delivering scalable solutions for fraud detection, customer intelligence, forecasting, and operational excellence. I enjoy mentoring teams, collaborating with stakeholders, and continuously applying cutting-edge AI research to real-world problems.…I am a Senior Data Scientist and AI Engineer with 12+ years of experience designing, building, and deploying enterprise-scale data science, ML, and Generative AI solutions across cloud environments (primarily Azure) and on AWS. I lead end-to-end data science pipelines, predictive analytics, and production-grade AI platforms that drive measurable business impact on multi-million-record datasets. I specialize in GenAI architectures, RAG, multi-agent orchestration, MLOps, and explainable AI, delivering scalable solutions for fraud detection, customer intelligence, forecasting, and operational excellence. I enjoy mentoring teams, collaborating with stakeholders, and continuously applying cutting-edge AI research to real-world problems.

Available to hire

I am a Senior Data Scientist and AI Engineer with 12+ years of experience designing, building, and deploying enterprise-scale data science, ML, and Generative AI solutions across cloud environments (primarily Azure) and on AWS. I lead end-to-end data science pipelines, predictive analytics, and production-grade AI platforms that drive measurable business impact on multi-million-record datasets.

I specialize in GenAI architectures, RAG, multi-agent orchestration, MLOps, and explainable AI, delivering scalable solutions for fraud detection, customer intelligence, forecasting, and operational excellence. I enjoy mentoring teams, collaborating with stakeholders, and continuously applying cutting-edge AI research to real-world problems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Gen AI Engineer at Citi

June 1, 2023 - Present

Led design and deployment of enterprise-scale Data Science, Machine Learning, and Generative AI platforms within a banking environment, analyzing multi-million customer and transactional datasets to enable fraud detection, credit risk modeling, customer intelligence, and executive decision support. Architected enterprise GenAI and Agentic AI platforms, mentored engineering teams, and drove production deployment while optimizing costs and governance. Implemented Retrieval-Augmented Generation (RAG) systems using LangChain, LlamaIndex, and Azure Cognitive Search to integrate enterprise knowledge bases and improve contextual accuracy. Built multi-agent orchestration with LLM workflows across enterprise tools, established secure model context and integration servers, and delivered scalable APIs and real-time inference endpoints. Developed experimentation frameworks, prompt engineering strategies, and MLOps pipelines to enable continuous improvement and governance for enterprise AI initiati

AI/ML Engineer / Data Scientist at Verizon

August 1, 2019 - May 1, 2023

Designed and delivered enterprise-scale AI solutions focusing on intelligent search, text classification, and anomaly detection by integrating data pipelines, machine learning models, and scalable Azure-based deployment architectures for real-time and batch analytics workloads. Architected AI-driven search platforms with semantic ranking and embedding-based retrieval, improving accuracy and engagement across large document repositories. Implemented anomaly detection frameworks, recommender systems, and decision-support analytics, along with end-to-end MLOps practices to ensure reliable production delivery.

Data Scientist at Eli Lilly

December 1, 2016 - July 1, 2019

Designed and developed scalable Python-based automation and integration platforms on AWS, building APIs, ETL pipelines, and backend systems to process high-volume data for enterprise reporting. Implemented embedding-based semantic search, NLP pipelines, and transformer-backed text processing for document intelligence and knowledge management. Deployed containerized services and AI assistants, built vector-based retrieval and retrieval-augmented workflows, and established testing, logging, and observability for production-grade AI systems.

Python Developer at BMO

January 1, 2014 - November 1, 2016

Delivered end-to-end data analysis solutions by designing structured data pipelines, transforming raw transactional datasets, and enabling accurate KPI reporting. Built ETL pipelines, RESTful APIs, and automated reporting workflows; developed reusable ML frameworks for model training and deployment; implemented data cleansing, validation, and governance to support enterprise reporting and analytics across AWS/Azure environments.