Open to opportunities

Ally Bangash

@allybangash

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Principal AI/ML engineer and architect driving scalable, production-ready deep learning and generative AI solutions.

United States

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What I'm looking for

I seek senior AI/ML leadership roles building cloud-native, production-grade ML platforms and generative AI products, with strong emphasis on team mentorship, responsible AI, and measurable business impact.

I am an AI/ML leader with 10+ years designing large-scale machine learning systems, end-to-end MLOps pipelines, and deploying advanced models for NLP, computer vision, and recommendation systems. I focus on delivering production-ready, explainable, and secure AI that drives measurable business impact.

In recent roles I architected cloud-native ML infrastructures on AWS, GCP, and Azure, implemented RAG pipelines with vector databases, and integrated multimodal AI into clinical and customer workflows, improving diagnostic accuracy and engagement while reducing costs.

I mentor and lead engineering and data science teams, promote responsible AI and model explainability, and partner with executives to align AI strategy with KPIs to unlock revenue and operational efficiencies.

Experience

Work history, roles, and key accomplishments

Current

Principal AI/ML Solutions Architect

Current

Teladoc Health

Dec 2023 - Present (1 year 10 months)

Led AI/ML innovation for a healthtech firm, designing RAG pipelines and enterprise MLOps to integrate multimodal AI into telemedicine workflows, improving diagnostic accuracy by 25% and reducing operational costs by $5M annually.

MLOps Milvus Hugging Face Kubeflow Vertex AI GitHub Actions Explainable AI

Senior Data Scientist

Uniphore

Mar 2018 - Nov 2023 (5 years 8 months)

Oversaw ML solutions across banking, insurance, and retail; architected cloud-native MLOps on Databricks and Snowflake, and deployed RAG/vector DB solutions that increased engagement by 23% and unlocked $10M annual revenue impact.

Databricks Snowflake Pinecone Weaviate RAG LLMs)MLFlow ArgoCD Kubernetes

Machine Learning Engineer

Dataiku

May 2014 - Feb 2018 (3 years 9 months)

Designed and deployed large-scale predictive analytics and streaming pipelines for healthcare, reducing patient readmission by 18% and delivering computer vision models with 90%+ sensitivity in early detection trials.

Kafka Spark AWS Azure Computer Vision Predictive Analytics