Gabriel Melo Email & Phone Number

State Of Pernambuco, Brazil

• Worked on LLM integration with prompt engineering, text processing, evaluation, and statistical tests, resulting in translation flows 70% faster with a 55% decrease in the translator's workload;
• Developed a text classifier to route multiple machine translator engines, improving overall MT quality at 15% while keeping the cost, using scikit-learn and FastAPI;
• Developed a local spellcheck pipeline based on Hunspell using FastAPI, and LLM and prompt engineering for suggesting corrections. Eliminating third-party spellcheck costs, and minimizing openai calls;
• Worked closely with different teams on multiple data analysis pipelines from extracting data with PostgreSQL to data visualization with Python, Superset, or Sheets to present info to new/potential clients;
• Worked on LLM evaluation and fine-tuning using open-source models with Hugging Face;
• Worked on domain classifier on segment level with 60% F1, with scikit-learn and deployed using FastAPI;

Recife, Pernambuco, Brasil

• Worked on modeling an education product, conducting interviews with +15 scholars;
• Worked on a pipeline for text classification using Python and genetic algorithms.

Recife E Região, Brasil

• Coordinate other +3 assistants in assisting +30 students per semester with classes and tests;
• Approval rate (without finals) rose from 50% in the first semester to 90% in the final semester.

Recife E Região, Brasil

• Developed a point of service system with a data pipeline using Google App Script;
• Worked on data analysis and insights into sales and social posts for 4 stores with 15 employees.

Undergraduate, Computer Science

Computer Science degree with personal focus on machine learning and data science.

Curso Técnico, Intermedia/Multimedia

Art and illustration development for digital games and animations, programming basics, agile methodologies and teamwork.