Sudhin's Blog

Sudhin's Blog
51 posts
Robotics System Integration
A robot is not a collection of independent software modules. It is a physical machine where: software runs on computers, computers communicate over networks and buses, sensors measure the world, e
Sep 4, 202680 min read
Debugging and Engineering Tools : From A Junior to Senior
How senior engineers find what is actually wrong A beginner often thinks debugging means: “The program crashed. I will add some print statements.” A stronger engineer thinks: “What evidence can I c
Sep 4, 202634 min read
AI Safety, Security and Responsible AI
Building an AI system that is intelligent is only half of the engineering problem. The other half is making sure that it: works when conditions are imperfect, behaves sensibly when uncertain, canno
Sep 4, 202649 min read
AI Research Scientist Foundations
From “I can train models” to “I can discover why learning works” An AI engineer often asks: How do I make this model work reliably in a real system? An AI research scientist has to ask deeper questi
Sep 4, 202633 min read
GPU and High-Performance Computing for AI Research
Modern AI is not only about neural-network architecture. It is also about moving enormous amounts of data through enormous amounts of computation efficiently. That is why GPU computing matters. If you
Sep 4, 202649 min read
MLOps: A must in this AI Era
Machine learning becomes genuinely difficult not when we train a model, but when we try to make that model reliable, repeatable, deployable, observable, and maintainable in the real world. That is the
Sep 4, 202636 min read
Agent Reliability: This is how you build a reliable agentic system
Agent reliability is what separates: "Wow, this demo is impressive." from: "We can safely run this in production." A demo agent only needs to work once. A production agent needs to work: repeatedly
Sep 4, 202641 min read
Agent Interoperability and Tool Infrastructure : The Master Guide for AI Engineers
An intelligent agent becomes truly useful when it can reliably interact with the rest of the software world. A model by itself can reason. An agent can reason and act. But acting means crossing bound
Sep 4, 202650 min read
Agent Engineering and Orchestration
Modern AI agents are often explained far too simply: “Give an LLM some tools and tell it to solve a task.” That description is technically true in the same way that: “A web application is some code
Sep 4, 202640 min read