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Yago LopesYL
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Yago Lopes

@yagolopes

AI developer building Python backends and LLM-powered applications.

Brazil
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What I'm looking for

I’m looking to build reliable LLM integrations and Python backends—shipping scalable APIs, data pipelines, and agent workflows using modern tooling, with room to grow full-stack delivery and production impact.

I’m an AI Developer with 4+ years building Python backends, REST APIs, and LLM-powered applications. I focus on production workflows—integrating OpenAI and Claude APIs to automate analysis and improve reliability.

Most recently, as an LLM Agentic Trainer at Turing, I evaluate and fine-tune LLM agents (including Google Gemini), identify systematic errors, and strengthen output reliability. I also automate 60% of data validation workflows by building Python scripts to parse, clean, and transform large-scale JSON and SQL datasets, while optimizing PostgreSQL queries and analytics validation pipelines to reduce processing time by 30%.

Earlier, as a freelance Python developer (2021–2025), I integrated OpenAI and Claude APIs into automation workflows, reducing manual analysis time by 50% and increasing productivity. I built backend applications and internal tools with FastAPI/Django and PostgreSQL, designed pipelines for millions of financial data points (cutting manual collection by 70%), and developed validated backtesting systems that improved predictive performance and decision accuracy by 20%.

Experience

Work history, roles, and key accomplishments

Turing logoTU
Current

LLM Agentic Trainer

Oct 2025 - Present (8 months)

Evaluated and fine-tuned LLM agents (Google Gemini), identifying systematic errors to improve output reliability and agent workflow performance. Built Python-based data validation automation that reduced processing time by 30% and automated 60% of validation workflows by parsing, cleaning, and transforming large-scale JSON/SQL datasets.

SE

Freelance Python Developer

Self Employed

Jan 2021 - Jan 2025 (4 years)

Integrated OpenAI and Claude APIs into automation workflows, reducing manual analysis time by 50% and increasing productivity. Built FastAPI/Django + PostgreSQL backend tools and scalable data pipelines processing millions of financial data points, reducing manual collection effort by 70%, and improved backtesting predictive performance by 20%.

Education

Degrees, certifications, and relevant coursework

Universidade de São Paulo (USP) logoUU

Universidade de São Paulo (USP)

Master's, Artificial Intelligence and Big Data

2026 - 2027

Master's program in Artificial Intelligence and Big Data at Universidade de São Paulo (USP) from 2026 to 2027.

IBMEC logoIB

IBMEC

Postgraduate, Applied Statistics & Financial Data Analysis

2019 - 2021

Postgraduate studies in Applied Statistics & Financial Data Analysis at IBMEC from 2019 to 2021.

San Diego State University logoSU

San Diego State University

Bachelor's, International Business

2014 - 2017

Bachelor's degree in International Business at San Diego State University from 2014 to 2017.

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