Open to opportunities

Juan Kaplan

@juankaplan

AI Engineering student building end-to-end ML systems, focused on LLM behavior, efficiency, and deployment-ready pipelines.

Argentina

Message

What I'm looking for

I’m looking for an AI-focused role where I can build and deploy ML systems end-to-end, analyze LLM behavior, and contribute to AI efficiency and model optimization using scalable data pipelines.

I’m a final-year AI Engineering student (GPA 9.48) at Universidad de San Andrés, focused on building and deploying ML systems end-to-end. My work blends deep learning, LLMs, and applied mathematics, and I’m especially interested in how model behavior emerges in practice—then improving it through engineering and research.

In my internship at Assurant (People Analytics), I develop ML models across the full lifecycle, including data pipeline construction, validation, and deployment readiness in a production environment. Previously, as an AI Trainer at Outlier, I evaluated and corrected LLM outputs across mathematics, physics, and programming—identifying systematic failure patterns and helping produce high-quality supervised training data.

Experience

Work history, roles, and key accomplishments

Current

AI and Data Science Intern

Current

Assurant

Sep 2025 - Present (10 months)

Develop ML models across the full lifecycle, including data pipeline construction, validation, and deployment readiness. Build automated, scalable processes and translate model outputs into stakeholder-facing insights.

Machine Learning Data Pipeline Development Model Validation Workflow Automation

AI Trainer

Outlier

Oct 2024 - Sep 2025 (11 months)

Evaluated and corrected LLM outputs across mathematics, physics, and programming to support supervised training data for model alignment. Identified systematic failure patterns in logical reasoning and technical accuracy and produced expert ground-truth labels.

LLM Output Evaluation Supervised Training Data Ground Truth Quality Assurance Logical Reasoning Technical Accuracy Review

Education

Degrees, certifications, and relevant coursework

Universidad de San Andrés

AI Engineering, AI Engineering

2022 -

Grade: GPA 9.48

Final-year AI Engineering student (GPA 9.48) building and deploying end-to-end ML systems. Strong foundations in deep learning, LLMs, and applied mathematics with coursework in machine learning, reinforcement learning, data engineering, and NLP.