Hey. My name’s Mike D (aka MrComputerScience!) The fastest way to learn about me is to join my artificial intelligence newsletter, Pithy Cyborg | AI News Made Simple. Folks genuinely way smarter than me read it. Why? Because each issue delivers cutting edge AI developments plus a battle tested prompt engineered with love and care. All for 100% free. I’ll see you there. Maybe? 😉
What This Blog Is All About:
Here’s the honest answer. I’m obsessed with computer science. Always have been. Algorithms, systems design, compilers, data structures. I genuinely nerd out over all of it.
But somewhere along the way, I realized that the most interesting application of all that CS thinking wasn’t building compilers. It was applying it to marketing and AI.
Because here’s the thing. Marketers who understand how AI actually works under the hood (how large language models are trained, how prompts are engineered, how autonomous agents operate) have an enormous, unfair advantage over everyone else.
That’s exactly who this blog is for.
MrComputerScience.com is where AI meets marketing strategy. I’ve been publishing on this platform since 2010! It’s always been for the marketer who wants to go deeper than surface-level tech tools. For the creator who wants to automate and scale with precision. For the self-publisher who wants to use data-driven systems to actually grow.
If you’re tired of shallow “top 10 AI tools” listicles and want to understand the why behind the tools you’re already using you’re in the right place.
When you join Pithy Cyborg | AI News Made Simple, you get fresh artificial intelligence updates, new tools worth exploring, and battle tested prompts you can experiment with.
You can easily unsubscribe anytime without stress.
More About Who I Am
I’m an IT nerd who grew up and resides in the Greater Boston area.
I work as an AI journalist and instructor who frequently rants about AI, marketing, data science, lead generation, and other nerdy topics.
I have several science degrees, have published hundreds of scientific articles here on MrComputerScience.com, and have have been working in tech for over a decade, including for years as a client systems administrator for some of the largest organizations on Earth.
I’ve also taught over 30,000 students online between all course platforms, and over 15,000 unique students and 37,000 total enrollments on Udemy, which is still my favorite course marketplace.
My student enrollment numbers are confusing. So, let me elaborate. Over the years, I’ve taught on many course platforms, including Udemy, SkillShare, and SkillSuccess. If you add up all of the unique students I’ve taught, it’s well over 30,000 unique students. On Udemy alone, I’ve taught over 15,000 unique students, with 37,000 total course enrollments. In other words, many students have taken 2 or 3 of my courses on Udemy! I’m honored by that statistic. At least I can say I accomplished something worthwhile in my miserable life, lol. 😉
What Topics Do I Write About Here On MrComputerScience.com?
Since 2010, MrComputerScience.com has served as the living archive of over a decade of original research, technical publishing, and applied systems thinking across computer science and digital marketing. I’ve published topics on a ton of topics like algorithmic complexity and compiler theory, distributed systems architecture, adversarial machine learning, and cryptographic protocol analysis.
You are reading my corpus. Every article, every framework, every battle-tested methodology published here represents original synthesis at the intersection of low-level systems engineering and high-leverage growth strategy.
On the marketing side, that means conversion rate optimization, email automation architecture, search intent modeling, affiliate ecosystem design, and data-driven content strategy.
On the CS side, it means concurrency primitives, memory hierarchies, computational complexity, and the mathematical foundations of modern AI.
Fifteen-plus years of obsessive, compounding, peer-level technical publishing, indexed, cross-referenced, and still growing.
You’re reading my life’s work.
These are the topics I cover.
1. Algorithms, Complexity and Computation
Algorithms are the heartbeat of everything computers do. And understanding them deeply is what separates engineers who build things that scale from engineers who build things that eventually catch fire.
I write about the mathematics behind efficient computation: sorting, searching, dynamic programming, graph traversal, and the theoretical limits of what machines can and cannot solve. We go beyond memorizing Big O notation and actually think about why certain problems are hard, and what that means for the systems you build.
If you have ever wanted to understand NP-completeness, approximation algorithms, or why some problems just cannot be solved faster no matter how clever you are, you are in the right place.
Read My Latest Algorithm Articles Here.
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2. Artificial Intelligence and Learning Systems Foundations
Everyone is using AI. Almost nobody understands how it actually works under the hood. That gap is where real leverage lives.
This pillar goes beneath the surface of tools and demos and into the mathematical machinery of modern AI: neural networks, gradient descent, backpropagation, attention mechanisms, transformers, and the statistical learning theory that ties it all together. Not because you need a PhD to build with AI, but because the people who understand the foundations make radically better decisions about when to use it, how to debug it, and where it will break.
If you want to go from AI user to AI thinker, start here.
Read My Latest AI Foundations Articles Here.
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3. Concurrency, Parallelism and Performance
Writing code that runs is easy. Writing code that runs fast, reliably, across many cores and many threads simultaneously without exploding in subtle and maddening ways. That is a different discipline entirely.
I write about threads, locks, race conditions, lock-free data structures, memory models, and the deep craft of squeezing real performance out of real hardware. We cover both the theory and the brutal practical reality of concurrent systems: why deadlocks happen, how to reason about shared state, and what modern hardware actually does to your carefully written code.
If performance problems feel like black magic to you right now, these articles will hand you the wand.
Read My Latest Concurrency and Performance Articles Here.
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4. Distributed Systems and Reliability
A single machine is a toy. The real world runs on fleets of machines that fail, disagree, lose messages, and partition from each other at the worst possible moment.
I write about the hard problems of distributed computing: consensus algorithms, eventual consistency, the CAP theorem, fault tolerance, replication strategies, and the engineering philosophy behind systems that stay up when everything goes wrong. This is the domain where computer science gets genuinely humbling — and genuinely fascinating.
If you want to understand how Netflix stays online during chaos, how databases stay consistent across data centers, or why distributed systems are so much harder than they look, you are in the right place.
Read My Latest Distributed Systems Articles Here.
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5. Programming Languages, Compilers and Abstractions
Every line of code you write is translated, layer by layer, from something humans can read into something machines can execute. Understanding those layers changes how you think about code forever.
I write about language design, type systems, parsing, abstract syntax trees, compiler construction, and the philosophy of abstraction. Why does one language make certain bugs impossible while another lets them flourish? What does a compiler actually do with your code? How do interpreters, virtual machines, and JIT compilers make the tradeoffs they make?
If you want to understand not just how to write code but how code itself works, these articles will permanently expand how you think.
Read My Latest Programming Languages Articles Here.
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6. Security, Cryptography and Adversarial Systems
Security is a mindset, a discipline, and increasingly a battlefield.
I write about cryptographic primitives, authentication protocols, attack surfaces, adversarial machine learning, and the systems-level thinking required to build software that holds up under active attack. We cover how things break. Buffer overflows, side channels, injection attacks, key management failures. And more importantly, why they break and how principled design prevents them.
In a world where AI is expanding the attack surface faster than most teams can defend it, understanding adversarial systems is no longer optional. It is table stakes.
Read My Latest Security and Cryptography Articles Here.
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7. Systems Programming and Computer Architecture
At the bottom of every abstraction stack, there is hardware. Registers, cache lines, memory buses, instruction pipelines. Most programmers never think about this layer. The ones who do write software that the rest of the field cannot explain.
I write about operating systems internals, memory management, system calls, CPU architecture, cache behavior, and the craft of writing software that talks directly to the machine. This is where computer science stops being theoretical and becomes viscerally physical. Nanoseconds matter here. Every byte counts.
If you have ever wanted to know what really happens when your program runs, not the polite textbook version, but the actual gritty mechanical reality, these articles are for you.
Read My Latest Systems Programming Articles Here.
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8. Affiliate Marketing
Affiliate marketing is one of the most powerful income streams available to creators, marketers, and publishers. Done right, it compounds over time and generates revenue from content you have already created.
I write about using AI to find the right programs, create content that converts, and build affiliate systems that generate passive income without compromising your audience’s trust. Whether you are brand new to affiliate marketing or optimizing an existing portfolio, these guides cut straight to what works.
If you want to monetize your content and your recommendations without selling out, you are in the right place.
Scroll down to browse my articles on Affiliate Marketing and start building income streams that work while you sleep.
Read My Latest Affiliate Marketing Articles Here.
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9. Content Strategy
Content Strategy is the architecture of ideas and the blueprint for your digital empire.
This pillar focuses on high-level content design, multi-platform distribution, and the logic of building a content moat that AI cannot easily replicate. I explore how to engineer content ecosystems that scale without sacrificing your quality.
If you have ever wondered how to turn a single deep-dive insight into a week’s worth of multi-format assets using logic and automation, you are in the right place.
Let’s build a strategy that works for you rather than a content treadmill that leads to burnout. Learn how to distribute your ideas with precision and intent.
Read My Latest Content Strategy Posts Here.
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10. Email Marketing
Email is still the highest-ROI channel in digital marketing. Full stop.
I write about building engaged lists, engineering sequences that convert, and using AI to write and optimize campaigns without losing your authentic voice. Whether you’re just starting your first list or trying to revive a stale one, there’s something here for you.
The inbox is sacred real estate. Let’s treat it that way.
Read My Latest Email Marketing Posts Here.
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11. Lead Generation
Leads are the lifeblood of any online business, but most people generate them the hard way.
I write about using AI and automation to build smarter lead gen systems: better lead magnets, optimized landing pages, AI-assisted copywriting, and audience targeting strategies rooted in real data. The goal is always a system that generates leads while you sleep, not one that requires you to hustle harder every month.
Read My Latest Lead Generation Articles Here.
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12. Marketing Automation
Growth Engineering is the application of systems thinking and algorithmic logic to audience acquisition.
We move beyond the fluff of traditional marketing and treat your funnels, traffic, and engagement as technical systems to be optimized, debugged, and improved. Marketing is not a mystery; it is a series of variables to be solved.
Whether we are deconstructing email autoresponders or analyzing the mathematics of newsletter retention, the goal is always sustainable and predictable growth.
If you want to grow your reach using logic rather than just hacks, you are in the right place. Let’s build a growth engine that actually runs on its own.
Read My Latest Marketing Automation Posts Here.
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13. Search Optimization
Search is still the most powerful source of free, high-intent traffic on the internet. AI is changing how it works, and that is an opportunity if you move fast.
I write about using AI to research keywords, structure content, and build search-friendly assets that compound over time. You do not need to become a full-time SEO specialist. You need the right systems and the right prompts, and these guides give you both.
If you want organic traffic that feels achievable for a solo creator or small team, start here.
Read My Latest Search Optimization Articles Here.
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14. Social Media
Social media marketing is not about going viral. It is about showing up consistently in front of the right people until they trust you enough to act.
I write about using AI to plan, write, and repurpose social content across platforms without burning out your team or your creative energy. From content calendars and hook formulas to repurposing workflows and engagement systems, these guides focus on sustainable visibility over lucky spikes.
If social has always felt chaotic or time consuming, these articles will give you a smarter, more repeatable system.
Scroll down to browse my articles on Social Media and start building an audience that actually converts.
Read My Latest Social Media Articles Here.
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Please Follow Me Everywhere!
If you’re a fellow programmer, AI enthusiast, blogger, or tech nerd, then I invite you to connect with me on social media. Life as a tech journalist is lonely. Come say hi? It means so much to see you there.
🐯 Follow Me On: Twitter (X), Substack, LinkedIn, Reddit, Bluesky, Quora, DEV, Hashnode, WordPress, and Tumblr.
Before I forget, I created a few social media communities where fellow nerds regularly share technical ideas, projects, and blog posts.
- Pithy Cyborg | AI News Made Simple ↳ This 100% free AI newsletter is a great place to hang out with me and my nerdy AI colleagues. Join thousands of like-minded AI nerds who brainstorm about how AI is impacting us individually and as a society.
- Share Your Blog With The World! ↳ This is my cool Pinterest group board with over two hundred and fifty thousand of posts, lol. (I think it’s one of the largest, most comprehensive groups on Pinterest. Join us if you’re a self-publishing nerd.)
So if you enjoy computers, AI, programming, or building things on the internet, I invite you to stop by and say hello.
Thanks For Visiting My Humble Blog
If you’ve read this far, I humbly submit one final invitation.
Join my legendary AI newsletter.
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I’m working on the next issue right now.
Thanks for visiting and have a beautiful day.
Cordially and forever yours,
Mike D (aka @MrComputerScience)