Darío Padial
Senior Software Engineer, AI at Stealth Startup
Granada, Andalusia, Spain
Summary
🤩
Rockstar🎓
Top SchoolDarío Padial is a Senior Software Engineer specializing in AI with 11+ years of experience building backend systems, ML pipelines, and production-grade generative AI agents from his base in Granada, Spain. He has moved from Django web backends into ML engineering and model deployment at scale, working with Snowflake, AWS, PySpark, and modern MLOps patterns across companies like Affirm and Zena. He designs agent frameworks, RAG pipelines, and evaluation systems—shipping customer-facing chat agents (web and SMS) and instrumentation for model observability. An active open-source contributor and community participant, he maintains projects such as a technical analysis library and the Justicio legal assistant, and shares models and datasets on HuggingFace. Beyond product work, he repeatedly blends entrepreneurship with engineering: founding a bootstrapped EdTech SaaS and co-founding an open-source legal QA tool, showing a knack for turning research-grade ML into practical, user-focused services.
11 years of coding experience
12 years of employment as a software developer
School of Artificial Intelligence Scholarship, AI, Machine Learning, School of Artificial Intelligence Scholarship, AI, Machine Learning at Pi SchoolIngeniería Informática, Ingeniería Informática at Universidad de Granada
English, Spanish
Stackoverflow
131reputation
10kreached
3answers
1question
Github Skills (12)
pandas10
analyse10
python10
numpy10
data-science8
rss6
feed6
csv6
locust6
pytest6
django6
escaping6
Programming languages (13)
Github contributions (5)
bukosabino/ta
Jan 2018 - Aug 2022
Technical Analysis Library using Pandas and Numpy
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 reviews, 514 commits, 141 PRs in 4 years 8 months
Contributions summary:Darío's commits center around the implementation of technical analysis (TA) features, indicating a focus on back-end development. These features include creating new financial time series datasets, and generating indicators. The user integrated new methods and calculations to enhance the functionality of the library. These implementations suggest a significant involvement in the core logic and data processing aspects of the project.
financialmomentumpythontechnical-analysis-libraryfundamental-analysis
bukosabino/btctrading
Apr 2017 - May 2018
Contributions:37 commits, 10 PRs, 38 pushes in 1 year 1 month
forecasttrendsdetectbitcointime-series
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