JR
Available for work
Portrait of Jayant Rao

Hey, I'm Jayant.


I'm a Computer Science undergraduate at NIST University and a passionate full-stack developer, I enjoy turning ideas into clean, user-friendly applications and solving real-world problems through technology. Driven by curiosity and a love for building, I'm constantly learning, experimenting, and creating meaningful digital products.

01What I Build

What I Build

Areas where I like turning ideas into working systems.

01Next.js · React · TypeScript

Full-Stack Applications

Modern web applications with thoughtful frontend and backend architecture.

02LLMs · RAG · Agents

AI-Powered Products

Applications using LLMs, AI workflows, RAG, agents, and automation.

03Node.js · PostgreSQL · Supabase

Backend Systems

APIs, authentication, databases, integrations, background workflows, and server-side systems.

04MCP · Docker · Linux

Developer Tools & Experiments

Small tools, prototypes, experiments, and technical explorations.

02Selected Work

Selected Work

A few things I've built, experimented with, and learned from.

01In Progress

Smart Education

AI-powered school management and learning platform for administrators, teachers, and students.

Next.jsSupabasePostgreSQLAI
View Details
02Prototype

DevNotes AI

A RAG-powered notes app that lets developers chat with their own technical notes and documentation.

Next.jsTypeScriptRAGPostgreSQL
View Details
03Shipped

TaskFlow API

A backend service for team task management with webhooks and background jobs.

Node.jsExpressPostgreSQLDocker
View Details
04Prototype

MCP Toolkit

A small collection of MCP servers for connecting AI agents to everyday developer tools.

TypeScriptMCPNode.js
View Details
03The Lab

The Lab

Experiments, ideas, and things I'm currently figuring out.

MCP × APIs

active

Exploring how MCP differs from traditional REST APIs, and where each fits when giving an AI agent access to tools.

MCPAI Agents

AI Agents

active

Experimenting with agent orchestration, tool-calling loops, and how much autonomy to hand an agent versus a human.

AgentsLLMs

RAG

exploring

Exploring retrieval pipelines, chunking strategies, and context-aware applications built on top of a vector store.

RAGVector Search

Event-Driven Systems

exploring

Experimenting with queues, background workflows, and how event-driven design changes the shape of a backend.

BackendSystems Design

Auth Patterns

paused

Working through session-based vs. token-based auth, and how row-level security changes API design decisions.

BackendSecurity

Self-Hosting & Docker

exploring

Learning to containerize and self-host small services, and what breaks between 'it works locally' and production.

DockerLinux
04Tech Arsenal

Tech Arsenal

Technologies I reach for, organized by where they fit.

ReactNext.jsTypeScriptJavaScriptTailwind CSSNode.jsExpressREST APIsAuthenticationPostgreSQLSupabaseMongoDBNeonLLMsRAGAI AgentsMCPGitGitHubDockerLinux
05Journey

A little about me.

Computer Science student who prefers learning by building — currently spending most of my time on full-stack products and AI systems.

I'm a Computer Science undergraduate who enjoys understanding systems deeply, not just using them. Most of what I know has come from building real projects — full-stack apps, backend services, and lately, AI-powered tools — and figuring out what breaks along the way.

I'm especially drawn to backend and systems thinking: how data flows, how services talk to each other, and how AI fits into software that people actually use. I'm still learning, and I like it that way.

Education

B.Tech in Computer Science & Engineering

NIST University · 2022 — 2026

CGPA 9.66

2022

Started B.Tech in Computer Science

Began CSE at NIST University — first real exposure to programming and systems thinking.

2024

Started exploring web development

Learned HTML, CSS, and JavaScript, then moved into React and building real projects.

2025

Moved deeper into full-stack development

Picked up Next.js, backend architecture, and databases — started building complete applications end to end.

2026

Exploring AI systems, agents, and architecture

Currently focused on LLM applications, RAG, agent orchestration, and MCP.

Building
  • AI-powered applications
  • A RAG-based notes tool
Learning
  • System Design
  • Distributed Systems
Exploring
  • AI Agents
  • MCP
  • LLM Architectures

Open Source & Activity

Most of what I build lives on GitHub, including work in progress.

View GitHub
07 / Contact

Have an idea worth building?

I'm always interested in interesting products, experiments, and collaborations.

Hey, you scrolled this far — let's connect!

Get in Touch