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Riel Analytics

@rielanalytics

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Machine learning engineer delivering end-to-end AI systems and automation.

United States

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What I'm looking for

I seek roles building production ML systems and automation where I can own end-to-end model development, work with IoT/real-time data, and translate technical results into business or research impact.

I am a machine learning engineer and data scientist with hands-on experience building end-to-end AI systems, predictive models, and automated data pipelines used in production and research contexts.

I've developed estimation algorithms for agricultural field trials at a university research center, built automated ETL pipelines ingesting multi-sensor IoT data, and deployed ML-powered automation systems for clients integrating LLMs, REST APIs, and orchestration tools.

I am a self-driven learner with a strong foundation in Python, PyTorch, scikit-learn, computer vision, and LLM fine-tuning, and I communicate technical results clearly to non-technical stakeholders to drive actionable outcomes.

Experience

Work history, roles, and key accomplishments

Machine Learning Engineer

University of Florida — IFAS

May 2022 - Jun 2024 (2 years 1 month)

Developed estimation and prediction algorithms for live agricultural field trials and built automated ETL pipelines processing continuous IoT sensor streams, improving research throughput and enabling real-time analysis used by the research team.

Python R PyTorch ETL Statistical Modeling Data Visualization SQL