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Jota Feldmann

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I'm J, a 100% "working from home" full-time/contractor data and software engineer (Python, Node, Java, Kotlin) since 1998, born, raised, and living in São Paulo, Brazil, available inside the timezone overlap from -8 UTC to +2 UTC. I have worked as a remote contractor for full-time English-speaking positions since 2020, including in the USA, Germany, Portugal, Angola, and Argentina.

With a Big Data and Artificial Intelligence specialization at USP (2022-2023), a bachelor's degree in Computer Science (2001-2005), and a vocational school in Informatics (1998-2000), I'm a problem solver with experience as a senior back-end engineer, data, architecting, designing, and coding solutions with distributed systems in the cloud, like APIs, workers, ELTs (ETLs), queues, databases, leading teams, and mentoring developers since 2011.

About culture: in my experience, the Spotify model and the "Five keys to a successful Google team" are reasonable definitions for a great culture. Factors like lean mentality, good practices (tests, SOLID, Clean Code), psychological safety, clarity, meaning, impact, dependability, accountability, autonomy, and responsibility are the best ways to make things work, deliver, and build a consistent team.

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Jota Feldmann's Projects

azathoth icon azathoth

Personal project to research about project patterns in Node.js

culture icon culture

Base repository for culture documentation

deep-rl-toolkit icon deep-rl-toolkit

RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

document-mutation icon document-mutation

Library: given a document and a mutation, must generate the database update statements.

elevators icon elevators

Simulate elevators service, given a number of floors X elevators.

guts icon guts

Small and self contained utils for Go language

is-sum-inside-the-list icon is-sum-inside-the-list

Given an array A and a sum S, write a function that returns true if there are 2 numbers inside.

ma-gym icon ma-gym

A collection of multi agent environments based on OpenAI gym.

minimal-marl icon minimal-marl

Minimal implementation of multi-agent reinforcement learning algorithms

tcc-ia-big-data icon tcc-ia-big-data

Simulando multi-agentes em jogos de tabuleiro por turnos, utilizando aprendizagem por reforço via Value-Decomposition Network e Gymnasium API

trucks-x-cargo icon trucks-x-cargo

Load cargos and trucks data (.csv files), pick the closest truck for each cargo, and output in the stdout.

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