Leandro Roser
AI Engineer at DataArt
Vicente López, Buenos Aires, Argentina
Summary
👤
Senior🎓
Top SchoolLeandro Roser is an AI Engineer with over a decade of hands-on experience building ML models and production-ready MLOps platforms, currently shaping AI products at DataArt. He has a strong academic foundation with a PhD in Bioinformatics and a background in computational biology, which informs his statistical learning and data-driven approach to problem solving. Leandro has designed and automated end-to-end inference pipelines, reusable infrastructure components and CI/CD workflows that dramatically reduced time-to-production for data teams. He’s delivered NLP generative systems, custom vector search and RAG pipelines using LangChain and OpenAI models, and has deployed scalable solutions on AWS with Terraform and Docker. Comfortable both as a platform engineer and instructor, he blends research rigor with practical deployment experience and a track record of automating up to 90% of production processes. Based in Vicente López, Buenos Aires, he brings a curious mix of academic depth and pragmatic engineering that speeds business impact.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Bioinformatics Computational Biology, Doctor of Philosophy - PhD Bioinformatics Computational Biology at University of Buenos Aires
English, Spanish, German, Chinese
Github Skills (118)
fastq-files10
meta-analysis10
ecology9
genetics9
fastq9
r-package9
spatial-data9
shiny8
spatial8
exploratory8
cran8
landscape8
aws-glue8
weakly-supervised-learning8
amazon-athena7
Programming languages (5)
Github contributions (5)
the-tobias-project/odbc-module
Jan 2023 - Apr 2023
ODBC Databricks connector module for Slurm
Contributions:1 release, 25 PRs, 562 pushes in 2 months
databricksodbcrslurm
leandroroser/FastqCleaner
May 2017 - Apr 2018
Contributions:1 release, 4 PRs, 295 pushes in 11 months
fastq-filesshinycleanbioconductorfastq
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