Diego Indart

I am a Full Stack Developer, with a strong background in PHP. My framework of choice is Laravel. I'm self-taught, responsible, disciplined and passionate. I've been coding as a hobby since the age of 7, and professionally for the past 15 years.

I take pride in ownership and clean code. I have great attention to detail and a gift for thinking out of the box. I have worked fully remotely for most of my career, and I understand the importance of good communication and visibility. I'm a perfectionist, but I can easily switch to "deadline mode" when needed.

I enjoy helping out junior or semi-senior colleagues, and organizing talks to help the team align and enhance their knowledge, mostly on Laravel and database efficiency topics.

When I'm not working, chances are I'm either studying or tinkering with my own personal projects (mostly FOSS).

• Crypto-Trading Bot
• since 2018
• Python

In my spare time, I work on a Trading Bot written in Python 3, in collaboration with friends from college. The aim is to build an app that can interact with Bitmex crypto exchange (https://www.bitmex.com) through its API, integrating Machine Learning and other AI and Big Data tools, in order to predict market movements and handle positions accordingly.

At this point, we have a working prototype able to produce monthly 3-5% gains consistently through the most usual scenarios, but it fails on high volatility settings. We are currently working on better prediction algorithms, using data provided by Bitmex through its API or elsewhere, running our algorithms through historical real data.

Data is collected in real-time from Bitmex from a websocket, then stored in a SQLite in-memory database, from which several clients can consume the data through a simplified API, without stretching the limitations and constraints set by Bitmex. Through message queues, bots (clients) are notified of new data they've subscribed to, e.g. price action, and can act on it, based on the relevant events each bot can handle. Every bot has its own strategy but conforms to the same API.

• OpenFING
• 2014 - 2018

From 2014 to 2018 I directed an open-source student project called OpenFING at the Engineering Faculty of UDELAR (Uruguay), which digitalizes lectures and puts them online for free. During these years, I was in charge of planning, organizing and monitoring the volunteer teams, as well as coordinating with the Faculty staff.

OpenFING is an extremely valuable asset for all Faculty students, both as support for regular students and as an alternative for students who cannot assist lectures. It has been used to design new fully remote courses at all levels of the Engineering careers in UDELAR. Today, OpenFING works closely with the Faculty in order to keep generating learning tools that improve the quality of education in Uruguay and to ensure that this knowledge is fully accessible, for free, for all students regardless of location, economic or social conditions.

See https://jime.open.ac.uk/articles/10.5334/jime.477/ or visit http://open.fing.edu.uy for more info!