Open to opportunities

Mubeen Butt

@mubeenbutt1

Message

Lead AI/ML Engineer specializing in generative, multimodal, and production-ready ML systems.

United States

Message

What I'm looking for

I seek senior AI/ML roles where I can lead production ML initiatives, build scalable MLOps, mentor teams, and apply responsible AI to deliver measurable business outcomes.

I am a Lead AI/ML Engineer with 9+ years of experience delivering advanced solutions across fintech, healthcare, and supply chain domains. I specialize in predictive, generative, and multimodal models, including NLP, computer vision, LLMs, and RAG systems.

I design and implement end-to-end MLOps pipelines and cloud-native architectures using tools like AWS SageMaker, MLflow, Airflow, and Kubeflow to move projects from experimentation to reliable production.

I lead and mentor cross-functional teams, establish model governance and Responsible AI practices, and align AI initiatives with organizational objectives to deliver measurable results. I have driven projects that improved operational efficiency, reduced cloud resource usage, and ensured compliance and ethical deployment.

My hands-on achievements include building RAG assistants with LangChain and Pinecone, real-time fraud detection pipelines with Kafka and Spark, and multimodal medical imaging systems deployed with ONNX/TensorRT. I prioritize interpretability, monitoring, and repeatable practices for long-term model reliability.

Experience

Work history, roles, and key accomplishments

Current

Lead AI/ML Engineer

Current

Caylent

Apr 2022 - Present (3 years 6 months)

Planned and implemented enterprise AI forecasting systems that minimized stockouts and enhanced operational efficiency; established RAG assistants and end-to-end MLOps workflows to streamline production and governance.

AWS Sagemaker MLFlow Airflow Pinecone MLOps Model Governance Prometheus Grafana

Machine Learning Engineer

Markovate

Jan 2019 - Feb 2022 (3 years 1 month)

Built data-driven models for fraud detection and credit scoring and engineered real-time data pipelines to support live financial decisioning while ensuring auditability and compliance.

Kafka Spark XGBoost MLFlow Model Monitoring & Compliance SQL

AI Engineer

InData Labs

May 2016 - Dec 2018 (2 years 7 months)

Designed convolutional and recurrent models for medical imaging and deployed inference to edge devices using ONNX and TensorRT, improving diagnostic throughput and interpretability.

Onnx TensorRT SHAP Medical Imaging