Looking for a job

Tácio Medeiros

@tacio

I build pragmatic, reliable data systems for trustworthy AI and better decisions, delivering measurable impact that lasts.

Brazil

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What I'm looking for

I’m looking for international remote roles where I can help a team build useful, dependable, and maintainable data and AI systems. I’m also open to short-term projects.

At Fedi, I engineered Rust pipelines to ingest raw transactional data from intricate distributed systems. I also built the data platform infrastructure from scratch and created pipelines and dashboards to support Operations, Marketing, Product, and Finance.

At Linx, I led four engineers rebuilding recommendation algorithms and the data stack. We reduced job runtime and cost to a third while maintaining or improving business performance for hundreds of clients.

At Cnova, I developed internal recommendation and search systems to replace outsourced providers. A/B tests measuring overall Revenue per Visitor proved our in-house solution beat or tied the provider.

I’m extending my data engineering experience into AI architecture, supported by a Claude certification and continuous studying and experimentation. I’m looking for international remote roles building useful, dependable, maintainable data and AI systems, and I’m also open to short-term projects.

Experience

Work history, roles, and key accomplishments

Data Engineer

Fedi

Sep 2024 - Jun 2026 (1 year 9 months)

Engineered high-performance, low-level data extraction pipelines in Rust to directly interface with RocksDB and state nodes, bypassing traditional API bottlenecks to ingest raw transactional data.

Architected and provisioned the entire data platform infrastructure from scratch; built custom telemetry pipelines to monitor network operations, transforming raw, distributed ledger data into productio

Senior Data Engineer

DOJO - Smart Ways

Jul 2023 - Aug 2024 (1 year 1 month)

Designed the data model for complex supply chain Business Intelligence project and implemented the pipelines using medallion architecture in Azure Databricks + Data Factory + Airflow, consuming data from SAP, tracking system, and ecommerce platform.

Data Engineering Team Lead

Linx

Apr 2021 - Jun 2023 (2 years 2 months)

Leading team of 4 engineers, rewrote all recsys algorithms and created new data stack, reducing time and cost of jobs by factor of 3 with same or improved business performance. Maintained and improved multi-tenant data platform to be more robust, scalable, safe and keeping cloud costs as low as possible

Senior Data Engineer | Data Scientist

Linx

Jul 2018 - Mar 2021 (2 years 8 months)

Created recommender algorithms for niche domains.
Developed non-parametric A/B test analysis for revenue metric and auto-tuning algorithms with explore/exploit techniques (multi-armed bandits and gaussian process regression).
Some experience building data lakehouse, ELT and Data Quality pipelines and credit score models.

Data Science Specialist

Chaordic

Jan 2017 - Jun 2018 (1 year 5 months)

Development and improvement of Recommender Systems algorithms for large ecommerces
AB testing, experimental design, ETL and analysis
Adhoc and seasonal performance reports

CRM Specialist

Cnova - GPA

Sep 2015 - Dec 2016 (1 year 3 months)

Responsible for creating and implementing search relevance and auto-complete algorithms internally so that the company could dismiss outsourced provider.
Kept doing Machine Learning models for all marketing teams, especially: product duplicates; automatic product categorization and attributes extraction.

Customer Relationship Management Analyst

Cnova - GPA

Aug 2013 - Aug 2015 (2 years)

Responsible for creating and implementing recommender system algorithms internally so that the company could dismiss outsourced provider.
Also did miscellaneous data science projects for the marketing department of this large e-commerce company including: email campaigns segmentation; attribution model; CLV model; cohort analysis; find product duplicates; automatic product categorization; SEO and

Masters Student

Escola Politécnica da USP

Feb 2011 - Jan 2014 (2 years 11 months)

Recommender Systems
Serendipity in Information Seeking
Ecommerce Web Analytics and Data Warehousing
Language Processing and Classification of Product catalog
Web Behavior Modeling and Clustering