The Journey of a Systems Architect & Machine Learning Engineer
Hi there! I'm Mohit Mishra, an engineer obsessed with understanding how technology works at its core. My mission is to bridge the gap between complex computer science concepts and practical implementation, creating resources that help developers at all levels dive deeper into the systems they build.
What I Explore & Create
I inhabit the fascinating intersection of low-level systems programming and machine learning. My work spans:
📚 Educational Resources
The Operating System Architect's Manual (339 stars): A comprehensive guide to OS design principles and implementation.
Under the Hood of Executables (328 stars): Exploring program execution mechanics and ELF formats.
🛠️ Open-Source Projects
reversingBits (488 stars): Essential reverse engineering cheatsheets and techniques.
amILearningEnough (1,000+ stars): A roadmap for mastering low-level programming.
exploring-os (256 stars): Hands-on C implementations of core operating system concepts.
🧠 Current Focus
I'm currently deep-diving into compiler design and building tensor programming libraries in C, aiming to create more efficient implementations of machine learning algorithms by leveraging my understanding of systems architecture.
My Technical Arsenal
const mohit = {
languages: ["C", "Python", "C++", "JavaScript", "TypeScript", "Java", "R"],
systems: ["Operating Systems", "Compilers", "Low-level Architecture", "ELF Formats"],
machineLeaning: ["TensorFlow", "PyTorch", "Scikit-learn", "MLOps", "Data Science"],
webDev: ["React.js", "Next.js", "Node.js", "Flask"],
devOps: ["AWS", "Docker", "Kubernetes", "CI/CD"],
databases: ["MongoDB", "MySQL", "PostgreSQL"]
}Why This Substack?
This newsletter serves as my laboratory for exploring ideas at the intersection of systems and machine learning. Each week, I'll share:
Deep Dives: Detailed explorations of low-level computing concepts
ML Systems Design: How to architect efficient machine learning systems
Code Walkthroughs: Practical implementations with full explanations
Research Insights: Breaking down academic papers into practical takeaways
My goal is simple: to create the resource I wish I had when learning these complex topics. No marketing fluff, just substantive technical content that actually helps you build better systems.
Beyond the Code
When I'm not staring at a computer screen, you might find me:
Analyzing chess positions (I'm an avid player)
Writing technical articles on Medium
Contributing to open-source projects
Researching new advancements in systems architecture
Join Me on This Journey
If you're fascinated by how computers work at their core, or if you're looking to build more efficient ML systems through better understanding of the underlying architecture, this newsletter is for you.
Subscribe to join thousands of engineers who are learning to build better by understanding deeper.
Support My Work
Creating high-quality educational content takes significant time and research. If you find value in my work:
GitHub Sponsors: Direct financial support that helps me dedicate more time to creating resources
Share: If you can't contribute financially, sharing my content helps tremendously
Engage: Your questions and feedback make this newsletter better
Let's Connect
Every newsletter edition is crafted with the same obsessive attention to detail that I bring to my code. Subscribe now to dive deeper into the machines we build.
