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I'm Victor Camargo, an Applied Data Scientist and AI/ML Engineer focused on building end-to-end ML and NLP solutions, including production-grade LLM applications. I enjoy translating messy data into reliable analytics and deploying models that actually run in real-world workflows. In cross-functional teams, I design reproducible ML pipelines, perform thorough model evaluation, and build robust API-based inference capabilities that balance performance, reliability, and ethical considerations. I thrive on solving real business problems with data and sharing practical, production-ready thinking with students and colleagues.…I'm Victor Camargo, an Applied Data Scientist and AI/ML Engineer focused on building end-to-end ML and NLP solutions, including production-grade LLM applications. I enjoy translating messy data into reliable analytics and deploying models that actually run in real-world workflows. In cross-functional teams, I design reproducible ML pipelines, perform thorough model evaluation, and build robust API-based inference capabilities that balance performance, reliability, and ethical considerations. I thrive on solving real business problems with data and sharing practical, production-ready thinking with students and colleagues.

Victor Camargo

Data Scientist, AI Engineer, AI Developer, +2

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I'm Victor Camargo, an Applied Data Scientist and AI/ML Engineer focused on building end-to-end ML and NLP solutions, including production-grade LLM applications. I enjoy translating messy data into reliable analytics and deploying models that actually run in real-world workflows. In cross-functional teams, I design reproducible ML pipelines, perform thorough model evaluation, and build robust API-based inference capabilities that balance performance, reliability, and ethical considerations. I thrive on solving real business problems with data and sharing practical, production-ready thinking with students and colleagues.…I'm Victor Camargo, an Applied Data Scientist and AI/ML Engineer focused on building end-to-end ML and NLP solutions, including production-grade LLM applications. I enjoy translating messy data into reliable analytics and deploying models that actually run in real-world workflows. In cross-functional teams, I design reproducible ML pipelines, perform thorough model evaluation, and build robust API-based inference capabilities that balance performance, reliability, and ethical considerations. I thrive on solving real business problems with data and sharing practical, production-ready thinking with students and colleagues.

Available to hire

I’m Victor Camargo, an Applied Data Scientist and AI/ML Engineer focused on building end-to-end ML and NLP solutions, including production-grade LLM applications. I enjoy translating messy data into reliable analytics and deploying models that actually run in real-world workflows.

In cross-functional teams, I design reproducible ML pipelines, perform thorough model evaluation, and build robust API-based inference capabilities that balance performance, reliability, and ethical considerations. I thrive on solving real business problems with data and sharing practical, production-ready thinking with students and colleagues.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Spanish; Castilian

Advanced

Portuguese

Fluent

Work Experience

Data Science and AI/ML Instructor Contractor at TripleTen

May 1, 2024 - Present

Led 1:1 technical mentoring and live group sessions, guiding learners through end-to-end ML projects with production-ready thinking. Reviewed and approved applied ML systems end-to-end, covering data preparation, feature engineering, validation strategies, model selection, and evaluation rigor. Provided structured technical feedback on experiment design, failure modes, and model behavior, helping learners reason about real-world ML tradeoffs beyond notebooks. Oversaw projects spanning forecasting, classification, NLP, time series, and LLM-based applications, aligned with industry-style workflows and quality standards.

Data Scientist Contractor at Carta Healthcare, Inc.

March 1, 2022 - February 1, 2024

Designed and owned end-to-end ETL and NLP pipelines for clinical data, standardizing heterogeneous sources into HL7- and FHIR-compliant formats to enable scalable analytics and ML systems. Integrated large language model (LLM)–based extraction pipelines into clinical registry workflows, automating information extraction and improving reliability of downstream analytics.

Teaching Assistant Contractor at University of São Paulo

February 1, 2019 - December 1, 2021

Assisted courses in Data Science for Medical Physics, Data Analysis, Computational Physics and Statistics, and Python Programming.