π hey, i'm lovepreet singh
mle @cred | youtube β’ x β’ linkedin β’ dev β’ github
iβm an applied ml + systems engineer building bottom-up β from os schedulers and drivers to cuda experiments and llm pipelines.
my goal is to contribute to ai-first infra teams where deep fundamentals meet product impact. i like working close to metal, math, and users.
π featured
dissecting linux schedulers β implementing a toy cfs simulator
tags: os, scheduling, c, simulation
a clean breakdown of how linuxβs cfs works, with a custom simulator demonstrating vruntime, run queues, fairness, and weighting.
π all posts
adapted k-means for color segregation
optimizing centroid initialization to quantify plant health from raw pixels β’ Supported by NNSF China govt.
building soil moisture monitors with arduino + android
integrating sensors, microcontrollers, and mobile apps into geotechnical engineering labs
usb driver in c β writing a minimal driver from scratch
a minimal usb driver, understanding interrupts, urbs, descriptors, and driverβkernel communication.
a multithreaded chatroom in c++ (boost.asio)
a chatroom server built using boost.asio and threads β a practical intro to async network programming.
peer-to-peer file sharing in java + nginx + docker
a p2p file-sharing system with multi-client coordination, reverse proxy, containers, and cloud.
dissecting linux schedulers β toy cfs simulator
a hands-on deep dive into linux's cfs with a custom scheduler simulator.
π§ what this blog is
- applied research notes from kernels β networking β distributed systems β ml.
- deep dives created by rewriting real systems from first principles.
- engineering logs meant for builders who value fundamentals over hype.
π why you care
my work sits at the intersection of systems, ml, infra, and optimization.
if you're working on ai infra, model training systems, inference pipelines, or low-latency distributed compute, this blog reflects exactly how i think and build.
πΈ about pepe:curious
a small corner of the internet where i document experiments, failures, insights, and implementation notes.