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I’m a Senior Data Scientist / AI/ML Engineer and Generative AI specialist with 12+ years of experience delivering enterprise-scale AI solutions across financial services, insurance, telecommunications, and government. I build LLM applications using RAG, agentic workflows, and vector search, and I also design and deploy predictive ML systems with strong emphasis on reliability and measurable business impact. I lead end-to-end GenAI and ML engineering—from model development and fine-tuning to scalable MLOps/LLMOps on cloud platforms. I focus on production-grade architectures, responsible AI/guardrails, observability, and governance, partnering closely with stakeholders to turn complex requirements into secure, high-performance systems.…I’m a Senior Data Scientist / AI/ML Engineer and Generative AI specialist with 12+ years of experience delivering enterprise-scale AI solutions across financial services, insurance, telecommunications, and government. I build LLM applications using RAG, agentic workflows, and vector search, and I also design and deploy predictive ML systems with strong emphasis on reliability and measurable business impact. I lead end-to-end GenAI and ML engineering—from model development and fine-tuning to scalable MLOps/LLMOps on cloud platforms. I focus on production-grade architectures, responsible AI/guardrails, observability, and governance, partnering closely with stakeholders to turn complex requirements into secure, high-performance systems.

Shoaib Mohammed

Data Scientist, AI Engineer, Developer, +2

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I’m a Senior Data Scientist / AI/ML Engineer and Generative AI specialist with 12+ years of experience delivering enterprise-scale AI solutions across financial services, insurance, telecommunications, and government. I build LLM applications using RAG, agentic workflows, and vector search, and I also design and deploy predictive ML systems with strong emphasis on reliability and measurable business impact. I lead end-to-end GenAI and ML engineering—from model development and fine-tuning to scalable MLOps/LLMOps on cloud platforms. I focus on production-grade architectures, responsible AI/guardrails, observability, and governance, partnering closely with stakeholders to turn complex requirements into secure, high-performance systems.…I’m a Senior Data Scientist / AI/ML Engineer and Generative AI specialist with 12+ years of experience delivering enterprise-scale AI solutions across financial services, insurance, telecommunications, and government. I build LLM applications using RAG, agentic workflows, and vector search, and I also design and deploy predictive ML systems with strong emphasis on reliability and measurable business impact. I lead end-to-end GenAI and ML engineering—from model development and fine-tuning to scalable MLOps/LLMOps on cloud platforms. I focus on production-grade architectures, responsible AI/guardrails, observability, and governance, partnering closely with stakeholders to turn complex requirements into secure, high-performance systems.

Available to hire

I’m a Senior Data Scientist / AI/ML Engineer and Generative AI specialist with 12+ years of experience delivering enterprise-scale AI solutions across financial services, insurance, telecommunications, and government. I build LLM applications using RAG, agentic workflows, and vector search, and I also design and deploy predictive ML systems with strong emphasis on reliability and measurable business impact.

I lead end-to-end GenAI and ML engineering—from model development and fine-tuning to scalable MLOps/LLMOps on cloud platforms. I focus on production-grade architectures, responsible AI/guardrails, observability, and governance, partnering closely with stakeholders to turn complex requirements into secure, high-performance systems.

Skills

Experience Level

Expert

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Expert

Work Experience

Senior Data Scientist (Gen AI) at Morgan Stanley

June 1, 2024 - Present

Designed and deployed enterprise Generative AI solutions using LLMs, RAG, agentic AI, and AI agents to automate investment research, financial document intelligence, and client advisory workflows. Built scalable vector search and semantic retrieval pipelines using LangChain/LangGraph/LlamaIndex and vector databases (Pinecone, FAISS, ChromaDB, Weaviate, Azure AI Search). Fine-tuned open-source LLMs with LoRA/QLoRA/PEFT and developed multi-agent systems for portfolio analytics, trade reconciliation, risk summarization, and regulatory compliance. Implemented Responsible AI practices with guardrails and hallucination detection, and delivered production services via FastAPI and Kubernetes. Built data pipelines and forecasting/anomaly detection models for risk and fraud analytics, and operationalized MLOps/LLMOps with MLflow, monitoring, drift detection, and CI/CD. Ensured enterprise security and governance with IAM/OAuth, encryption, audit logging, and compliance controls.

AI Platform Engineer at T-Mobile

March 1, 2022 - May 31, 2024

Engineered AI platform capabilities on AWS and Azure for telecom workloads including LLM/NLP/CV, predictive analytics, and fraud detection. Built and maintained MLOps pipelines with MLflow, Kubeflow, Jenkins, GitHub Actions, Azure DevOps, Docker, and Kubernetes, reducing deployment time by 60%. Automated CI/CD for model training/validation/deployment using Terraform, Helm, and ArgoCD. Implemented RAG architectures using LangChain/LlamaIndex, Azure OpenAI/OpenAI GPT-4, FAISS/Pinecone/ChromaDB for telecom knowledge assistants. Developed secure AI APIs and microservices (FastAPI/Flask/GraphQL), orchestrated workflows (Airflow, Kubernetes CronJobs, Step Functions), and built streaming solutions using Kafka and Spark Structured Streaming. Added monitoring, drift detection, explainability, and observability, and optimized GPU-enabled inference using CUDA/TensorRT for improved performance and cost efficiency.

AI/ML Engineer at MetLife

April 1, 2019 - February 28, 2022

Developed end-to-end ML solutions for underwriting risk assessment, policyholder segmentation, claims prediction, and fraud detection. Built supervised/unsupervised models using Python, Scikit-learn, TensorFlow, and boosting methods to improve accuracy and support insurance portfolio decisions. Created NLP pipelines for claims document classification and correspondence automation using BERT and Hugging Face Transformers. Implemented recommendation/propensity models to increase conversion rates, and deep learning for customer behavior and risk forecasting. Established MLOps workflows with MLflow and CI/CD to automate training, validation, tuning, monitoring, and deployment. Built scalable ETL using Azure Data Factory, Databricks, PySpark, SQL Server, and ADLS Gen2, and integrated models into enterprise applications via REST APIs. Supported regulatory compliance and governance with SOX/HIPAA-aligned practices.

Data Scientist & AI/ML Engineer at Northern Trust

July 1, 2017 - March 31, 2019

Designed and deployed ML models for wealth management use cases including portfolio optimization, client segmentation, and financial risk analytics, improving prediction accuracy. Built predictive analytics and clustering solutions (Random Forest, XGBoost, SVM, Logistic Regression, K-Means) and engineered features and dimensionality reduction (PCA) for large-scale market and client data. Implemented time-series forecasting using ARIMA, Prophet, and LSTM, and developed NLP pipelines for financial documents using spaCy/NLTK/Gensim/Word2Vec. Created fraud/AML-related anomaly detection using Isolation Forest and clustering, and developed risk models for credit, operational, and investment risk. Built ETL using Python/SQL/Spark/Hadoop, delivered dashboards with Tableau/Power BI, and applied A/B testing and statistical methods. Ensured auditability and explainability for SEC/FINRA/SOX/Basel III/GDPR governance.

Python Developer at State of Alabama Personnel Department

February 1, 2015 - June 30, 2017

Developed and maintained Python web applications using Django and Flask for state HR and personnel management systems. Built secure REST APIs for integrations across HR, payroll, benefits, and personnel processes. Implemented backend business logic modules and optimized database queries/stored procedures in Oracle and SQL Server. Automated ETL and file conversion tasks using Python scripts. Added authentication, role-based authorization, session management, and input validation aligned with government security standards. Created responsive UI components using HTML/CSS/JavaScript and Bootstrap, wrote automated unit/integration tests, and deployed applications on Linux using Apache and uWSGI/Gunicorn while monitoring and troubleshooting production issues.