Rodrigo Frassetto
Auxiliar Contábil at Da costa & Eger contabilidade
Brazil
Summary
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Rockstar🎓
Top SchoolRodrigo Frassetto is an experienced accounting assistant with 11 years in finance operations based in Brazil, blending steady day-to-day accounting work with a strong aptitude for backend data tooling. While working at Da Costa & Eger Contabilidade he has supported core accounting processes and record-keeping, bringing reliability and attention to detail to client-facing workflows. Beyond accounting, Rodrigo contributes to open-source information-retrieval tooling as a back-end developer and DevOps engineer on the well-regarded Anserini project, converting MS MARCO and Open Research datasets and improving data pipelines. This cross-disciplinary experience highlights his strength in data processing, format conversion, and scripting to make research datasets reproducible and interoperable. Colleagues point to his pragmatic problem-solving—fixing encoding issues and automating conversions—to bridge gaps between research tools and practical applications. He combines accounting discipline with technical curiosity, making him effective at both compliance-focused tasks and reproducible data engineering.
11 years of coding experience
Ensino médio, Ensino médio at Instituto estadual de educação
Github Skills (17)
python10
convert10
information-retrieval10
file-conversion10
file-format10
data-processing10
lucene9
devops7
api5
script5
bash5
apidoc5
machine-learning4
kubernetes-pods3
docker3
Programming languages (5)
Github contributions (5)
castorini/anserini
Apr 2019 - Oct 2020
Anserini is a Lucene toolkit for reproducible information retrieval research
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:48 reviews, 22 commits, 42 PRs in 1 year 5 months
Contributions summary:Rodrigo's contributions focused on adding MS MARCO experiments and converting MS MARCO and Open Research datasets into formats compatible with the Anserini information retrieval toolkit. They implemented scripts to convert MS MARCO run and qrels files to TREC format, and also developed a script to interpolate and analyze retrieval runs. Furthermore, the user added and updated retrieval scripts for the Open Research dataset, including Pyserini integration, and addressed encoding errors and other minor issues, showing a focus on data processing and tool integration.
reproducibleretrievalluceneinformation-retrievaljava
nyu-dl/dl4ir-query-reformulator
Apr 2017 - Apr 2018
Contributions:30 commits, 31 pushes, 5 comments in 1 year
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