Rakshit Yadav

Fullstack Developer & DevOps Enthusiast

Hey, I'm Rakshit, a first-year Computer Science student at Newton School of Technology, focused on systems engineering, cloud infrastructure, and developer tooling.

Over the last few months, I’ve been actively contributing to open-source projects, experimenting with backend systems, cloud tools, AI products, and developer infrastructure. I like understanding how systems work internally and learning by building real things

Experience

May 2026 — Present

Growth Intern

@Chaptr

Worked on AI-driven short-form content, storytelling, and growth experimentation across digital platforms.

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Aug 2025 — Present

Open Source Contributor

@cal.com@Ruxailab@Harbor@KubeStellar@clawvisor

Contributed to open source by improving real-world cloud-native codebases and debugging infrastructure.

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Projects

building high-performance systems and tools. adding more soon.

github.com/rakshityadav1868/Autoscaling-Workers

Auto Scaling Workers

Auto-Scaling Workers is a Go-based asynchronous job processing engine that uses Redis-backed queues, autoscaling worker pools, SQLite persistence, and pluggable LLM execution.

GoRedisSQLiteLLM

code live

nextprep.dev

NextPrep - Interview Preparation

An AI-powered interview preparation platform that analyzes job descriptions, extracts key skills, and generates personalized interview questions in real time using NLP and LLMs.

PythonFastAPIGen AILLMReact.js

code live

more projects→

Technologies & Tools

Node.js

Python

CSS

Tailwind

JavaScript

React

Next.js

Typescript

Vue.js