levensworth

Location: Dublin, Ireland [EU]. Remote: Yes

Willing to relocate: No

Technologies: Python, Pytorch, sklearn, Spark, Java, Javascript, Git, AWS

Résumé/CV: https://www.levensworth.com/santiago_bassani_CV.pdf

Email: [email protected]

I am a AI/ML Engineer. Developed micro services employing large language models, retrieval augmented generation, and classical, and deep learning techniques. I have experience taking projects from the research phase to operational deployment.

Looking for new opportunities to get into more product oriented teams.

Location: Dublin, Ireland

Remote: Yes, preferred. Can do up to 2 days in office

Willing to relocate: Only for an exceptional opportunity

Technologies: Python, Pytorch, Scikit-learn, FastAPI, Java, Spark, Docker, CI/CD pipelines, S3, RDS, Redshift, Athena.

Résumé/CV: https://www.levensworth.com/santiago_bassani_CV.pdf

LinkedIn: https://www.linkedin.com/in/santiago-bassani

Email: santi at levensworth.com

I'm a software engineer with 7 Years of experience from which the last 5 have being working as an ML Engineer for projects related to LLMs, analytics ingestion pipeline and customer segmentation micro services. I'm looking to take more backend or fullstack projects.

Once i decided to start learning FastAPI and a bit of React I had 2 projects which at the time seem like a great idea (of course, they turn out to be not that great but I learned a lot form them).

1. https://www.linic.io => A local news paper aggregator and summary for my Home country.

2. https://www.animefindr.net => an Anime recommendation engine.

Although both didn't make much fuzz and probably need a lot more work to be actually useful. I learned a lot about recommendation engines in general, the different steps of the process, how to solve the exploitation vs exploration dilema for each one and how to use the existing tools available for it.