Open to opportunities

Marcelo Dias

@marcelodias

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AI Engineer and Data Engineer delivering production-grade ML systems at scale.

Brazil

Message

What I'm looking for

I seek roles building production AI/ML systems on cloud infrastructure, with autonomy to design scalable data platforms, deliver measurable business impact, and mentor cross-functional teams.

I am an AI Engineer and Data Engineer with 20+ years of experience building production-grade AI agents, scalable data pipelines, and multi-tenant enterprise systems for clients in finance, healthcare, and HR. I combine deep technical expertise in NLP and transformer models with strong cloud and data engineering skills.

My work includes architecting AI agent platforms using LangGraph, LangChain, and CrewAI, building clinical-trial analytics and HR automation serving 100,000+ users, and implementing event-driven, secure data platforms on AWS using Terraform, Glue, Lambda, Redshift, and Snowflake. I hold a Master's in Computer Science (NLP/ML focus), am AWS Certified Data Engineer, and have published research on fake news detection and stance detection using transformer models.

I focus on delivering measurable business outcomes through reliable, performant systems, automated workflows, and pragmatic ML solutions that integrate into production environments with strong CI/CD and multi-tenant architecture practices.

Experience

Work history, roles, and key accomplishments

Current

Owner / AI Engineer

Current

VCM

Jan 2021 - Present (4 years 11 months)

Architected and deployed AI agent systems for an HR SaaS platform serving 100,000+ users at enterprise clients, automating employee development workflows and reducing documentation-related support load; optimized MySQL/PostgreSQL databases to achieve sub-second responses under high concurrency.

AI Agents LangGraph Python MySQL PostgreSQL AWS Database Optimization

AI Engineer / Data Engineer

studyOS

Jan 2023 - Jan 2025 (2 years)

Built an AI assistant for clinical-trial data analysis that generates SQL and textual insights to surface FDA compliance issues; designed multi-tenant ingestion pipelines and deployed serverless AWS integrations orchestrated via Terraform.

AWS Glue AWS Lambda Terraform Snowflake Python SQL LangGraph

Data Engineer

BairesDev (Imagen.ai)

Jan 2022 - Jan 2023 (1 year)

Architected event-driven pipelines for medical imaging (DICOM) using AWS Lambda and SQS for scalable asynchronous processing and provisioned Redshift Serverless with Terraform to enable secure analytics for partners.

AWS Lambda SQS AWS RedShift Terraform Python DICOM S3

Professor

IFSUL

Jan 2018 - Jan 2021 (3 years)

Taught databases, algorithms, and object-oriented programming, delivering coursework and labs on PostgreSQL, MySQL, MongoDB, Neo4j, Java, and Python to undergraduate students.

PostgreSQL MySQL MongoDB Neo4j Java Python Teaching Curriculum Development

Software Engineer / Data Engineer

Procempa

Jan 2015 - Jan 2018 (3 years)

Developed ML models to detect tax evasion and built graph-based analytics with Neo4j; implemented ETL pipelines with Pentaho and delivered real-time dashboards using Elasticsearch and Kibana for municipal monitoring.

Machine Learning Neo4j Pentaho Elasticsearch Kibana Python ETL Greenplum

Technical Lead

IBM

Jan 2011 - Jan 2015 (4 years)

Led a 10-engineer team supporting internet banking and credit approval systems for a major financial client, managing incident resolution, enhancements, and performance tuning for Java/JEE and Oracle PL/SQL applications.

Oracle PL SQL Team Leadership Incident Management Performance Tuning Agile CI CD

Software Engineer / Database Engineer

Rio Grande Energia

Jan 2000 - Jan 2011 (11 years)

Built enterprise software for utilities and project management using C, PowerBuilder, Java/JEE and Oracle PL/SQL, focusing on scalable backend systems and database performance optimization.

C++PowerBuilder Oracle PL SQL Performance Optimization Backend Development SQL

Education

Degrees, certifications, and relevant coursework

Universidade Federal do Rio Grande do Sul

Master of Science, Computer Science (NLP/ML)

Activities and societies: Research and publications on stance detection, sentiment analysis, and fake news detection using deep learning.

Master's degree in Computer Science with focus on Natural Language Processing and Machine Learning; research on transformer models and fake news detection resulting in multiple publications.