Looking for a job

Lorena Melo

@lorenamelo

Message

I build production AI, forecasting, and NLP systems from complex data.

Brazil

Message

What I'm looking for

I'm open to mid/senior Data Scientist, ML Engineer, and Applied AI roles with international teams, especially where building well matters as much as building fast.

I build production-grade AI and data systems at AIRA Labs, from LLM applications and RAG pipelines to forecasting models. My Distill platform processes 2,900+ jobs across four sources, uses controlled Claude API checkpoints, and is backed by 603 automated tests.

At Zallpy Digital, I designed warehouse-capacity forecasting and scenario-planning architecture for Johnson & Johnson pharmaceutical operations across Brazil and Colombia. I also rebuilt an automated, provider-agnostic LLM call-classification layer with anti-hallucination guardrails and PII pseudonymization.

My forecasting work has reached 83.8% of occupancy predictions within two bins of actuals and R² of 96.5% for BMW Financial Services Canada. I’ve also reduced SQL query runtime by approximately 60% on datasets exceeding 15 million rows.

I bring experience across Python, SQL, AWS, Databricks, NLP, LLM systems, and production deployment pipelines. I’ve applied sentiment analysis in Brazil’s public-health digital transformation work and continue building reliable AI systems that work beyond demos.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist // AI Engineer & Founder

Current

AIRA Labs

Jul 2026 - Present (2 months)

Data Scientist & AI/ML Engineer | Applied AI & Data Science | Forecasting, LLM systems, production pipelines

AIRA Labs is an applied AI and data science lab. I build production-grade systems - from LLM applications to forecasting models.

// how I buid
Defensive architecture: single responsibility, validation at boundaries, graceful failure, instrumentation, idempotent by default. Systems that

Python Pinecone Voyage AI Supabase GitHub Actions Streamlit Vercel LLM Systems RAG Forecasting Data Pipelines AWS Databricks

Data Scientist II

Zallpy Digital

Jan 2026 - Aug 2026 (7 months)

1. Working with Johnson & Johnson to architect warehouse capacity management system POC for pharmaceutical operations across LATAM plants in Brazil and Colombia.

The project goes beyond demand forecasting: I designed the analytical architecture to translate demand signals into physical storage requirements under pharmaceutical constraints — covering bin-occupancy forecasting (up to 12 months ahea

Data Science Research Fellow – Digital Health Project

Universidade de Brasília

Nov 2025 - Apr 2026 (5 months)

Data Scientist — Digital Health Innovation Project (UnB + Ministry of Health)

Contributing as a data scientist in the Digital Transformation of Brazil’s Public Health System (SUS), a joint initiative between the University of Brasília (UnB) and the Brazilian Ministry of Health (DATASUS/SEIDIGI). The project aims to modernize the data architecture and governance of the National Health Data Network

Data Scientist I

Zallpy Digital

Oct 2024 - Jan 2026 (1 year 3 months)

Worked as Data Scientist I at Zallpy Digital.

Senior Data Analyst

Zallpy Digital

Oct 2024 - May 2025 (7 months)

Working with BMW Group Canada as a cliente, I worked with datasets exceeding 15 million rows on Microsoft SQL Server, I specialize in designing scalable data assets and optimizing query performance. Through advanced SQL development, indexing strategies, and performance tuning, I reduced query runtime by approximately 60%, significantly accelerating report generation and enabling faster business in

Data Analyst

Konica Minolta Healthcare do Brasil

Sep 2024 - Oct 2024 (1 month)

Developed a Device Performance Dashboard using Streamlit and Python, showcasing expertise in data management, analysis, and visualization, with a focus on time related data.

Key Responsibilities:

• Designed and implemented ETL pipelines for extracting, transforming, and loading time-based data from PostgreSQL databases, ensuring data integrity and efficient processing.
• Developed optimized SQL