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Gustavo Villar

@gustavovillar

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Data Scientist and Software Engineer specializing in AI, MLOps, and production-grade LLM systems.

Brazil

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What I'm looking for

I’m looking to build AI systems that ship reliably—LLM agents, ML pipelines, and resilient APIs—on AWS/GCP. I want ownership across the development cycle, measurable impact, and strong engineering practices in scalable, production environments.

I’m a Data Scientist and Software Engineer with a strong focus on Artificial Intelligence and large-scale systems. I enjoy turning complex data into strategic decisions through resilient APIs and production-ready machine learning.

In my most recent role, I optimized a sales funnel using predictive ML, delivering a 37% increase in conversion rates and a 60% reduction in idle leads. I also reorganized ETL processes to protect data integrity—halving third-party tool costs and supporting a 35% increase in the customer base.

I’ve implemented LLM-based AI agents for technical support automation, reducing average ticket resolution time by 40% by intelligently querying internal documentation. I also manage cloud ecosystems to improve availability and scalability, cutting new feature delivery time-to-market by 70% without escalating operational costs.

I bring end-to-end experience across MLOps and data engineering, including scalable API development in Python and Go, serverless processing with AWS Lambda/Step Functions, and high-volume retail data pipelines. I’m currently deepening my work in Deep Learning and model explainability through my Master’s at UNESP.

Experience

Work history, roles, and key accomplishments

Data Scientist - Technical Lead

Hubify

Aug 2023 - Nov 2025 (2 years 3 months)

Optimized the sales funnel by redesigning lead redistribution logic with predictive ML, increasing conversion rates 37% and reducing idle leads 60%. Built LLM-based support automation that cut average ticket resolution time 40% and led scalable Python/Go API development to improve performance and reliability.

Machine Learning Deep Learning RAG Python Go API Development

Data Scientist

Bnex

Oct 2022 - May 2023 (7 months)

Developed and scaled retail data processing using serverless AWS Lambda and Step Functions to support over 100 retailers. Reduced report generation time from hours to minutes by reorganizing Redshift/DynamoDB/PostgreSQL integration flows and resolved production bottlenecks with minimal downtime.

AWS Lambda AWS Step Functions Serverless Architecture Redshift DynamoDB PostgreSQL Data Engineering Django Pandas

Junior Data Scientist

Tag Chat

Jul 2021 - Oct 2022 (1 year 3 months)

Improved data integrity and availability by optimizing PostgreSQL/MongoDB queries using Python and PL/pgSQL, and built sentiment analysis/NLP systems achieving 90% interaction classification accuracy. Led end-to-end recommendation system deployment, increasing click-through rates for suggested products by over 20%, and produced dashboards and web-scraping pipelines for downstream ML.

Python PostgreSQL MongoDB Pl SQL Sentiment Analysis NLP Recommendation Systems Web Scraping Data Modeling

Education

Degrees, certifications, and relevant coursework

São Paulo State University (UNESP)

Master's in Computer Science, Computer Science (Computational Intelligence)

2025 -

Pursuing a Master's in Computer Science (Computational Intelligence) focused on deep learning algorithms for homology detection in biological sequences, including intrinsic and post-hoc explainability.