Yago Lopes
@yagolopes
AI developer building Python backends and LLM-powered applications.
What I'm looking for
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
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.
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%.
Data Analyst
Suno Research
Jan 2020 - Jan 2021 (1 year)
Analyzed large-scale financial datasets from B3-listed companies using Python and SQL, generating insights for 50K+ paying subscribers. Built automated data pipelines and interactive dashboards to track KPIs and support data-driven business decisions.
Education
Degrees, certifications, and relevant coursework
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
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
Bachelor's, International Business
2014 - 2017
Bachelor's degree in International Business at San Diego State University from 2014 to 2017.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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