[System Design] Ride-Hailing Dispatch Algorithm: How Uber DISCO & Grab DispatchGym Match Drivers
Every time you tap "Book Ride," a system makes dozens of decisions in under two seconds: Which driver? What route? What's the real ETA? This article b…
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Surprise Over Age of Fundamental Algorithms: Modern AI Excluded from Standard University Courses
Introduction: The Timeless Nature of Algorithms When you crack open a standard Data Structures and Algorithms textbook, it’s easy to assume the conten…
Hashing in Distributed Systems: A Complete Guide to Algorithms, Best Practices, and Real-World Applications
Have you ever wondered how Discord keeps your channel messages available even when a server goes down? Or how Amazon DynamoDB serves petabytes of data…
A Practical Guide to the ROS Navigation Stack: Core Components & Tuning
With rapid advances in robotics, autonomous navigation has become essential for mobile robots. The ROS Navigation Stack is the de facto open-source fr…
Top 5 Data Visualizations for Algorithmic Trading (With Python Code)
Top 5 Data Visualizations for Algorithmic Trading (With Python Code) Most algo traders write signals. Almost none visualize them correctly. You can ha…
The Algorithmic Yes-Man: Why AI Constantly Agrees with You
It can feel a bit eerie when an artificial intelligence system effortlessly nods along with your ideas, validates an unconventional opinion, or gently…
In my latest signal article, I explore how priority queues and layered execution can help a scheduler preserve interaction responsiveness while still maximizing performance utilization.
Building a Smarter Scheduler: Priority Queues and Layered Execution Luciano0322 Luciano0322 Luciano0322 Follow May 21 Building a Smarter Scheduler: Pr…
Claprec: Machine Learning in Practice (4/6)
Series Roadmap Product Overview (1/6) Architecture: N-Tier Design, Decoupling, and Microservices (2/6) Frontend: Angular, NgRx, and OpenAPI Integratio…
How I Built a Vedic Panchang Engine in TypeScript — Swiss Ephemeris, Meeus Fallback, Zero External APIs
Sub-arcsecond planetary positions, sunrise for any location on Earth, and an entire astronomical calendar — all computed server-side in a Next.js app.…
Am I Ready for FAANG? A Better Test Than Solving More LeetCode
You've solved 200 problems. Mediums you've already seen take fifteen minutes. The next one you haven't seen freezes you cold inside of five. And every…
Integer Sorting via Value-Space Partitioning
Generalizing Dijkstra's Dutch National Flag Algorithm Dijkstra's Dutch National Flag (DNF) algorithm is one of those deceptively simple ideas that bec…
Algorithmic intuition matters more than problem count in coding interviews
Two engineers prep for the same cycle. One solves more than 500 problems and freezes when the medium doesn't look like anything from the practice list…
AlgoExpert vs NeetCode: The Interview Skill Neither One Actually Trains
A few years back I worked through both AlgoExpert and NeetCode while preparing for interviews. The 100 polished videos and the 400+ free walkthroughs …
The 90 Day FAANG Prep Plan That Actually Works
You count the weeks between today and your on site. Twelve. You pull up a 90 day FAANG prep plan and the structure looks reasonable: easy problems for…