— In a few words...

You gotta be the dumbest in the room

You always want to be surrounded by people smarter and more capable. People you can learn from and look up to. People that challenge you and keep you on your toes. Raising from the bottom should be your clue to start finding a new place.

Mounting an FSx for Lustre file system to a SageMaker Notebook Instance

Amazon FSx for Lustre is an excellent option to run workloads where speed matters. For me, machine learning is that scenario.

Machine Learning is much more than training models

Over the past few years, I've met a lot of data scientists and machine learning engineers. I've also had the opportunity to learn a lot about what a machine learning job means. I don't consider myself an expert, but I can share some of my thoughts on what I've learned so far.

It's your job to move forward

Don't be lazy. Don't wait for your company to give you something new, so you can use the time and advance your skillset. That's shortsighted and won't get you what you want.

Deploying TensorFlow Object Detection Models on SageMaker

I know this sounds crazy, but one of the biggest struggles that Machine Learning engineers face is to take their models and make them available so they can be used as intended.

Moving the blog to Python 3

Python 2 is out of support. I created this blog back in 2014, using Python 2 running on Google's App Engine Standard Environment. It worked great. It gave me zero problems during these 5+ years.

Running a Python FastAPI application in App Engine

If you haven't checked FastAPI as an alternative to Flask, take a look at it, and you'll be pleasantly surprised by how capable, modern, and cool it is.

You need both learning and doing

Great developers spend much of their time writing code. It's not only about how much they study, read, and keep up with the latest trends but how much time they dedicate to hone their craft. They constantly make things. Again and again.

Naming things

I've written before about code clarity, but I don't think I paid enough care to the importance of naming things.

Product Stages

When working on a product, it is good to have an understanding of what each stage of completion means. For different teams, these concepts will vary, but this is the way I like to do it:


One of the biggest complaints about the Scrum's daily standup meeting is that, more often than not, they become "status" meetings.

Slow and steady

We made a lot of progress in our product over the last two weeks. It was a bunch of work, and it took nights and part of the weekend to get where we are right now.

The stale backlog

As soon as some of the stuff reported in the backlog stops being relevant, the whole thing becomes useless and distracting.

There will always be tomorrow

I understand some people have a different way to get to the finish line. Mine has evolved. I'm still a work in progress, but it's evident where I stand nowadays: I care first and foremost about putting something —anything— out there, perfection be damned.

Don't get out of the way

A common saying that goes around is that a good leader "gets out of the way and let their teams do what they do best." I like it. I've also said it before.

Commenting my code

A long time ago I wrote about how I felt about comments in my source code. It was back in 2010, but I'm not going to link back to those posts because I wrote them in Spanish. If you are sufficiently motivated, feel free to search the archives.


I always wanted to go to a US college, so back in 2015, I started my Masters in Computer Science at Georgia Tech, and just this month of May 2019, after a lot of work and effort from my entire family, I graduated with a major in Machine Learning.

Never forget where you came from

Here is kind of a cheezy advice for a new manager, but one that I found quite useful as I got more leadership responsibilities a few years ago:

Mixed feelings

After four weeks of working full time with AWS, I have mixed feelings about the current state of cloud development. This is a great time to develop enterprise applications in the cloud: AWS (and Azure, and GCP) makes so many things possible — things that were complex before. You can quickly stitch together services and create a sophisticated, integrated system with much less effort than before.

Importing related files from an Amazon S3 bucket using an AWS Lambda function

There's an Amazon S3 bucket that we need to monitor to process files copied into it. Doing this is pretty straightforward by invoking a lambda function whenever the s3:ObjectCreated:* event is triggered by S3.

Looking past the surface

People applying for an open position at your company are much more than what their resumes say. They are more than their education and experience. They are more than their ability to answer questions under pressure or make a first good impression.

OpenAI Gym's LunarLander-v2 Implementation

If you are into Reinforcement Learning, it's very likely that you've heard about OpenAI Gym. It's an amazing platform that you should check out in case you haven't heard about it.

Focus your resume in the value you can provide, not the tools you can use

We all do the same thing: plaster our resumes with every single detail we know or ever heard mentioned. From the most critical technology stack to the smallest recondite tool, we always focus too much on the tools we can handle and forget something much more important.

What motivates me?

Yesterday Nelson asked me what exactly motivates me to do what I do every day. A loaded question that made me think for a bit.

Yet another article about your Machine Learning career

This article is supposed to be different from the one I posted a few days ago: A quick guide to get started on Machine Learning and Computer Vision. That one is more of a collection of resources that focus mostly on getting up to speed on Machine Learning and Computer Vision, but it lacks the story part. You know, when you don't know where to start, sometimes you need somebody that guides you step by step from the beginning and doesn't throw you in the middle of a shitton of resources.