DML: New year, the new & improved Decoding ML - What to expect?
How we plan to grow, provide more qualitative & hands-on content, and real-world ML projects to expand your professional skills
Hello there, I am Paul Iusztin 👋🏼
Within this newsletter, I will help you decode complex topics about ML & MLOps one week at a time 🔥
This newsletter will differ from the others as I want to share my plans for the Decoding ML newsletter with you.
From now on, it will cost $1000/month. Joking. It will still be free. It’s not about the money but about growth, better quality & added value.
To be 100% transparent with you, I started this newsletter as an experiment, but when I saw people who actually read it, the perfectionist in me screamed that I should improve it and move to the next step.
This is the next step. And I’m taking you with me.
The big news is that I will go all in, pouring more time and resources into growing the Decoding ML newsletter. My main goals are to:
push better-quality content every week
bring more real-world projects to increase your hands-on skills
increases the number of articles with code examples to make it practical so you can benefit from it even more at your job
As the world constantly changes, especially AI, MLE & MLOps, you cannot stagnate. Decoding ML’s growth is about providing you with all the MLE & MLOps necessary resources to grow with it and smash it at your projects and job.
So.. How do I plan to grow the Decoding ML newsletter?Well, there are 3 main steps ↓
#1. Rebranding
From now on, my face will no longer be the “logo” of Decoding ML.
This will be the new logo of Decoding ML ↓
So you don’t have to see my annoying face every Thursday morning in your email 🤣
#2. Bringing in talent
As I wanted to push more content of higher quality, I had to bring in more talented people to write beside me.
I was lucky enough to know Alex Razvant and Alex Vesa, who are 2 fantastic MLE & MLOps engineers with 10 years of hands-on experience in the AI industry.
From now on, they will start contributing to the Decoding ML newsletter and team along with me.
Maybe you know this famous saying: “If you want to go fast, go alone; if you want to go far, go together.” …and I want Decoding ML to go far.
Our primary goal is to help you level up in MLE & MLOps by offering hands-on examples that you can use at your job.
I plan to improve the quality of the articles by including more code and concrete examples besides the system design talks we have discussed so far.
…and here enters the scene “The Alex’s”
I have worked with them, and I know they are talented experts with fantastic hands-on MLE & MLOps skills and insights to share with you.
Starting from now on, Decoding ML will no longer be a one-person brand but a brand by itself, hosted by the new Decoding ML team:
#2.1. Now, let the team introduce itself ↓
Alex Vesa
Main niche: “Deep Learning/Computer Vision | ML System Infrastructure | Startups | Business”
↳ 🔗 LinkedIn
Hello everyone,
I’m very grateful for this opportunity. I consider creativity and inspiration to flourish when there's a merger of minds from various individuals.
My professional journey began in 2015, initially focusing on software engineering with a keen interest in Python and AI technologies. I quickly progressed, taking on challenging roles and AI projects. My experience in various startups as a CTO focused on leading teams in developing innovative software solutions. I worked in multiple sectors, notably healthcare and automotive, where I've implemented AI-driven systems to enhance operational efficiency.
My technical skills are broad, encompassing Python, Django, and AWS. I'm dedicated to leveraging my AI and software development expertise to drive organizational success in this dynamic field.
I value knowledge-sharing among our community, and my objective is to bring solid expertise in practical, real-world AI/ML systems to help you in your day-to-day work and enhance your creativity and vision in product development.
Ultimately, I want to share with you the endless capabilities you can possess to evolve.
Alex Razvant
Main niche: “ML/CV Systems in Production | MLOps / Edge ML Deployments”
Hey everyone,
I’m really happy about this merger, as you’ll get 3X more quality content in a concise, valuable, and actionable manner directly to your inbox!
Here are a few words about who I am:
I started my journey as a SWE in 2015, diving into full-stack web development.
After a few internships, hackathons, and a few failed projects, the ML field caught my eye, and I haven’t looked back ever since.
My journey includes over 15+ successful freelance projects, earning a Top-Rated ML Engineer badge on UpWork, collaborating with BMW on AI for self-driving cars, authoring a paper for IEEE RAL 2020, and developing scalable Computer Vision systems to analyze 1000+ hours of CCTV footage.
I aim to bring solid expertise via code tutorials, diagrams, and system designs to help you overcome challenges in building and deploying ML & CV systems in cloud or edge environments, following the best practices I’ve learned in SWE, ML, and MLOps.
Follow them & check them out on LinkedIn to see their incredible experience in AI.
#2.2. Will we start approaching different topics?
TL/DR: No!
I was meticulous in bringing in more people with the same vision.
Thus, Decoding ML will approach the same niche as it has done: “production-ready MLE & MLOps topics.”
So… you don’t have to unsubscribe. We will keep talking about the same topics you chose to follow in our newsletter: “hands-on MLE & MLOps topics”
However, the advantage of having more people with different backgrounds on the team is that we all come with different perspectives and domain knowledge.
For example:
Alex Razvant worked a lot with Computer Vision, Deep Learning, and MLOps technologies in the world of retail
Alex Vesa has a lot of experience with Deep Learning and infrastructure projects in the medical field
I am passioned about generative AI, MLOps, and SWE
…combining our knowledge will result in exciting production-ready MLE & MLOps articles that will significantly benefit you.
#3. Expanding to new distribution channels
Every person consumes content differently.
So, we'd like to give you the best fit to enjoy our content.
We already started a Decoding ML Medium publication, where we will start this month to push a deep dive into the code of the Hands-on LLMs Course.
…and slowly, we will expand to video format content on:
Youtube
Instagram
TikTok
Also, we started planning a set of eBooks about MLE, MLOps and LLMOps and a new course about LLMs and LLMOps.
So… What happens next?
I hope you are excited about the news. For sure, I am 🔥
Next Thursday at 9:00 a.m. CET, Alex Vesa will make his grand opening by writing a step-by-step article on how you can deploy an LLaMA2-7b LLM using Amazon SageMaker and HuggingFace.
To conclude, you don’t have to do anything on your side.
Decoding ML follows its natural course by bringing in more people and expanding to other platforms to give you more value for your time and a more personalized way to enjoy our content.
See you next Thursday!
Have a fantastic weekend! ✌🏻
Paul
Great things coming ahead Paul! Looking forward to it!