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Abdoul Ouedraogo

@abdoulouedraogo

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Full-stack Generative AI developer driving scalable ML products.

United States

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What I'm looking for

I seek a technical role building production generative AI and MLOps systems at a mission-driven company, with opportunities to mentor, scale products, and impact operations.

I am a Full-stack AI and Machine Learning Engineer with 9+ years delivering scalable AI systems, generative AI solutions, and full‑stack applications across healthcare, industrial, and enterprise domains. Trained at Georgia Tech and shaped by military leadership, I build production MLOps platforms, fast AI microservices, and multi‑agent RAG systems that improve operational efficiency and model reliability.

I have led end‑to‑end projects on AWS, Azure, and GCP—designing data pipelines, deploying models with SageMaker and Azure ML, and reducing manual retraining and deployment errors through automation and mentorship. My work has driven measurable outcomes such as improved detection accuracy, reduced latency, and increased system efficiency while mentoring junior engineers and standardizing best practices.

Experience

Work history, roles, and key accomplishments

Full Stack AI Engineer

Huron Consulting Group Holdings LLC

Jul 2022 - Oct 2025 (3 years 3 months)

Designed, developed, and deployed end-to-end generative AI solutions and MLOps platforms on AWS and Azure that automated large-scale RCM note reviews, improved detection accuracy 14%, and increased operational efficiency by up to 30%.

Python PyTorch TensorFlow AWS Sagemaker MLOps RAG fastAPI Terraform

Research Assistant Intern

Oregon Health & Science University

Nov 2019 - Oct 2020 (11 months)

Applied supervised and unsupervised ML to patient data to advance Type I diabetes research, improved data accuracy 5% via ETL automation, and deployed RAG systems with vector embeddings that increased user satisfaction 30%.

Python SQL Databricks RAG Pinecone Vue.Js ETL Model Monitoring

Military Service

United States Air Force

Aug 2013 - Dec 2019 (6 years 4 months)

Served in various roles across the U.S. Air Force and U.S. Army, developing leadership and mentoring teams of 8+ personnel while contributing to operational readiness and technical problem solving.

Leadership Mentoring Technical Problem Solving Operations Management

Software / Machine Learning Engineer

Intel Corporation

Nov 2016 - Aug 2019 (2 years 9 months)

Built PyTorch time-series forecasting and Spark telemetry pipelines that reduced processing time 15% and enabled faster failure diagnosis; developed globally deployed BIOS update utilities and edge-AI prototypes.