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Lead MLOps and LLM Engineer - Top 1% AI/ML AWS-Azure-Databricks SME

Hi! I’m Rodrigo Masini, a Senior MLOps Engineer and MLOps book author. My very rich educational background in Data Science, Mathematics, Physics, Project Manager (six lean sigma and Agile), Medicine (specialist in Pediatrics), and MBA in business and technology. Focused on leverage MLOps to scale ML models and exclusive ML Management Zone methodology augumented by gen AI LLM to overcome business challenges.

A rich +12 years of experience working in roles from Management to Strategic complex digital health projects, applying different tools such as: Informatica, SnowFlake, AWS, GCP, NVIDIA, UiPath and others. +5 years dedicated exclusively to plan, design, implement and monitor data analytics and ML projects culture for all size business. Supporting an end to end lyfecycle of data projects from brainstorm ideas, development and management of AI projects reaching the deployment of a new efficient, smart and automated technology into business operations. Also, I was responsible for creating machine learning models using propensity methodology, risk stratification, financial forecasting in Revenue Cycle Management and Scorecards that could reduce operational costs and improve quality of care.

My specialty is in the development of artificial intelligence (A.I.) that reasons like humans do, to automate complex tasks, simplify human-machine interactions, or model human behaviors. Also, I act more as a Digital Health Manager / Lead Data Strategist who focus on applying machine learning(deep learning), statistical models and social data approaches to un/structured data to identify, recognize and to predict human behavior.

Creative, organized, dedicated and compromised with excellence in all project deliverables targeting at the excellence of the results.

Get in touch with me to learn more about how you can skyrocket your financial results!

Liked any of my projects? Buy my a coffee!

Rodrigo Masini's Projects

30-days-of-ml-kaggle icon 30-days-of-ml-kaggle

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

aeda icon aeda

AEDA - Automated Data Exploratory Analysis in R

ailia-models icon ailia-models

The collection of pre-trained, state-of-the-art AI models for ailia SDK

aima-python icon aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

alluxio icon alluxio

Alluxio, data orchestration for analytics and machine learning in the cloud

amazon-cognito-auth-js icon amazon-cognito-auth-js

The Amazon Cognito Auth SDK for JavaScript simplifies adding sign-up, sign-in with user profile functionality to web apps.

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

arco icon arco

:exclamation: This is a read-only mirror of the CRAN R package repository. ArCo — Artificial Counterfactual Package Report bugs for this package: https://github.com/gabrielrvsc/ARCO/issues

auto-tensorflow icon auto-tensorflow

Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/

autoeda icon autoeda

Automated exploratory data analysis

awesome-aws-workshops icon awesome-aws-workshops

(Unofficial) curated list of awesome workshops found around in the internet. As we all have been there, finding that workshop that you have just attended shouldn't be hard. The idea is to provide an easy central repository, in a collaborative way.

awesome-groovy icon awesome-groovy

A curated list of awesome groovy libraries, frameworks and resources

awesome-selfhosted icon awesome-selfhosted

A list of Free Software network services and web applications which can be hosted on your own servers

aws icon aws

preparation guide for aws big data / data analytics – specialty exam

aws-deeplens-user-guide icon aws-deeplens-user-guide

The open source version of the AWS DeepLens user guide. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.

aws-full-stack-template icon aws-full-stack-template

AWS Full-Stack Template is a full-stack sample web application that creates a simple CRUD (create, read, update, delete) app, and provides the foundational services, components, and plumbing needed to get a basic web application up and running.

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