Chandra K. Rajwal

- 01 / INDEX

INDORE, IN

LAT 22.719568 - LON 75.857727

Hii! I’m Chandra

A programmer currently training machine learning and AI models and exploring the path toward AI research.

View selected work ↘hello@chandrakrajwal.dev

- 02 / Projects

Selected work, indexed by signal.

012026
Click ML

Click ML

ClickML - build MLOps workflow (just click, save and use)

AirflowAirflowAstronomerAstronomerFastAPIFastAPIApache SparkApache SparkAWSAWSPyPIPyPI
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022026
LLM Inference Service

LLM Inference Service

A fast, secure local LLM inference service with API-key authentication, rate limiting, latency tracking, and structured logging. Runs open-source models locally, exposes both custom and OpenAI-compatible endpoints, and includes a dashboard for testing and monitoring. Docker-ready and easy to deploy.

FastAPIFastAPIvLLMvLLMOpenAIOpenAIRedisRedis
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032026
Adaptive Learning Platform

Adaptive Learning Platform

CLI based Adaptive Learning Game (supports five subjects). AI-Powered Dynamic Quiz Generator with Adaptive Difficulty, ML Engine & Performance Tracking

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042026
leX

leX

A lightweight and educational version control system (VCS) built from scratch in C++. Supports staging, object storage, hashing, and custom indexing for tracking file changes without using any external VCS.

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052026
micrograd

micrograd

Rebuilt and experimented with a Python-based autodiff engine inspired by Karpathy's Macrograd, with custom extensions for deeper exploration.

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062026
ckr blog

ckr blog

A personal blog website built with Next.js, TypeScript, Tailwind CSS, and MDX. It features a clean and responsive design and allows for easy content creation using Markdown.

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- 03 / About

I write code that works (most of the time), break things to learn faster, and dream of one day simulating the universe on a quantum chip — just for fun.

final goal — build intelligent systems that are faster, smarter, and maybe just a bit weirder than anything we've seen before. If it involves code, math, or quantum weirdness — you have my attention.

LLMsRAGDistributed TrainingCUDAInferenceVisionSystems Design