Prince Yadav

Available for opportunities

Prince.

>

I build AI-powered products end to end — from LLM apps, RAG pipelines and AI agents to the production APIs and frontends that serve them. I ship with Python, FastAPI, Node.js and React, and I think about latency, evals and cost the way founders think about shipping.

View Projects Contact
Prince Yadav — AI Developer
India · Remote-friendly
@prince-up
300+
DSA Problems Solved
3×
Hackathon Prizes Won
28+
Open-Source Commits
2025
OCI AI Certified
The short version

Why hire me

Everything below is backed by something on this page — projects, experience, GitHub and certifications. Here is the case in one screen.

Ships production AI, not demos

Built RAG pipelines, LLM apps and autonomous agents end to end — with real APIs, evals and cost/latency trade-offs, not notebook experiments.

Full-stack ownership

Comfortable across Python/FastAPI, Node/Express and React/TypeScript — I can own a feature from database to UI without hand-offs.

Proven in a real team

Shipped production REST APIs for CMS & eCommerce modules during an onsite internship in an 8-person Agile team, delivered on time.

Strong fundamentals

300+ DSA problems solved, 5★ HackerRank gold badges and OCI 2025 AI Foundations certified — the basics are not a gap.

Learns fast, contributes back

Open-source contributor (Webpack docs, GSSoC 2024) and always one framework ahead — currently going deep on LangGraph, CrewAI and MCP.

Ready when you are

Available immediately for internships, full-time or contract roles — remote, in India, or open to relocation.

Think I'd be a fit for your team?

Grab my resume or reach out — I usually reply within a day.

Email me
Get to know me

About Me

I'm Prince Yadav — an AI developer who builds LLM apps, RAG pipelines and autonomous agents, then ships the production APIs and frontends that put them in front of real users.

My default stack is Python and FastAPI on the backend, React and TypeScript on the frontend, and Postgres/Mongo/Redis for data. I care about the things that decide whether AI features actually ship: latency, evals, cost and clean, maintainable code.

I'm pursuing a B.Tech in Computer Science at LPU while shipping production work — an onsite internship, hackathon wins, open-source contributions and 300+ DSA problems. I'm available now and looking for a team where I can own real features end to end.

Highlights

  • LLM & RAG Engineering
  • AI Agents & Automation
  • Backend & API Engineering
  • Full Stack Development
  • System Design Thinking
What I work with

Skills & Tech Stack

A modern toolkit spanning the full product lifecycle — from pixels to pipelines.

AI / ML & LLMs

LLM App DevelopmentRAG PipelinesPrompt EngineeringAI AgentsOpenAI / Gemini APIsVector DatabasesEmbeddings & SearchLangChainGenerative AIEvals & Latency Tuning

Languages

PythonJavaJavaScriptTypeScriptSQL

Frameworks

Node.jsExpress.jsFastAPIReact.jsNext.jsTailwind CSS

Databases

MongoDBPostgreSQLRedisMySQL

Backend & Security

REST API DesignJWT AuthOAuth2BcryptPydanticUvicornSMTP

Tools & Cloud

GitHubDockerPostmanSwagger / OpenAPIVercelRenderGit

Soft Skills

Problem SolvingSystem Design ThinkingTeam CollaborationAdaptability
Currently Learning
LangGraph CrewAI A2A (Agent-to-Agent) Protocols LlamaIndex Model Context Protocol (MCP) Agent Evaluations
Selected work

Featured Projects

Production-grade applications across full stack, DevOps, and AI.

AIFull Stack

HireMind AI

An AI recruiting copilot that reads a resume and a job description, scores the fit, and explains the gaps in plain language.

ProblemRecruiters and candidates waste hours manually comparing a resume against a job description with no objective signal.
SolutionBuilt a RAG pipeline that embeds resume + JD, retrieves the most relevant sections, and uses an LLM to produce a structured fit score with reasoning.
ImpactTurns a 10–15 minute manual screen into a few-second, explainable match report.
  • RAG over resume + JD context
  • Explainable fit scoring with reasoning
  • Structured JSON output for downstream use
PythonFastAPIOpenAI APIEmbeddingsRAGReact
View Code
AI

Cold Mail Agent

An autonomous outreach agent that researches a recipient and drafts a personalized, non-spammy cold email in your voice.

ProblemGeneric cold emails get ignored, and writing personalized ones for every lead does not scale.
SolutionBuilt an LLM agent with prompt-engineered personas that pulls context, drafts tailored copy, and sends via SMTP with guardrails.
ImpactGenerates personalized outreach in seconds instead of minutes per email.
  • Context-aware personalization
  • Agentic draft → review → send flow
  • Tone and length guardrails
PythonFastAPILLM AgentsPrompt EngineeringSMTP
View Code
AI

Ask-Prince Assistant

The conversational AI assistant built into this portfolio that answers recruiter questions about my skills, projects and experience.

ProblemRecruiters skim portfolios fast and rarely find the exact detail they are looking for.
SolutionBuilt an assistant grounded on my structured profile data so it answers specific questions instantly, right on the page.
ImpactLive demo you can try in the bottom-right corner — no setup required.
  • Context-aware question answering
  • Grounded on structured profile data
  • Low-latency responses
ReactTypeScriptLLMPrompt Engineering
AIFull Stack

EngageAI

AI-driven engagement platform that turns raw event data into personalized insights using LLM-powered summarization.

ProblemTeams collect tons of user-activity data but struggle to turn it into clear, actionable insight.
SolutionCombined semantic search over activity with LLM summarization to surface personalized recommendations.
ImpactConverts raw activity logs into readable, per-user recommendations automatically.
  • LLM-powered insight generation
  • Semantic search over user activity
  • Real-time personalized recommendations
ReactFastAPIPostgreSQLOpenAI APIEmbeddings
View Code
DevOpsFull Stack

DeployFlow

CI/CD automation platform for triggering and monitoring Jenkins pipelines with GitHub integration.

ProblemManual deployments are slow, error-prone and hard to monitor across environments.
SolutionBuilt a dashboard to trigger and watch Jenkins pipelines with GitHub integration and live status.
ImpactRemoves manual steps from the deploy loop and surfaces failures fast.
  • Automated deployment workflows
  • Real-time pipeline monitoring
  • Reduced manual deployment effort
Node.jsExpress.jsReactJenkinsGitHub ActionsDocker
View Code
Full Stack

Online Assessment System

Full-stack online examination platform with authentication, real-time tracking, and automated evaluation.

  • Secure authentication
  • Real-time score tracking
  • Automated evaluation
MongoDBExpress.jsReact.jsNode.jsJWT
View Code
Giving back

Open Source Contributions

Actively contributing to open source projects, sharing knowledge, and building tools that help developers.

View GitHub Profile
Milestones

Achievements

3× Hackathon Prize WinnerRecognized for building innovative full-stack apps using React, Next.js, and Firebase under tight deadlines.
GirlScript Summer of Code 2024Selected contributor with verified open-source contributions across community projects.
Webpack Open-Source ContributorContributed to webpack.js.org documentation — 28 commits on an active fork.
300+ DSA Problems on LeetCodeConsistent problem solving across data structures, algorithms, and system design patterns.
5-Star Gold Badges on HackerRankGold badges in Java, SQL & Problem Solving.
Verified knowledge

Certifications

2025
OCI 2025 Certified AI Foundations Associate
2024
Full Stack Software Engineering
2024
Advanced Data Structures & Algorithms
2024
Mastering Generative AI Architectures
2023
Next.js & React Development
My journey

Experience

Production backend engineering across the full software development lifecycle.

Onsite
Pune, India May 2025 – Jul 2025

Software Engineering Intern

WorldWin Coder Pvt. Ltd.

  • Built REST API endpoints for CMS and eCommerce modules using Node.js and Express, deployed to production.
  • Organized backend code into separate route and service files to make it easier to maintain and extend.
  • Delivered features across the full SDLC — design, development, testing, and deployment — in an Agile team of 8.
Kind words

Recommendations

Feedback from the people I've built alongside.

"Prince picked up our backend codebase quickly and shipped production REST APIs for the CMS and eCommerce modules. He asked the right questions, kept his code clean and organized, and delivered every feature on time within our Agile sprints."
Engineering Team Lead
WorldWin Coder Pvt. Ltd., Pune
Foundations

Education

B.Tech, Computer Science & Engineering

Lovely Professional University (LPU), Punjab

2023 – Expected 2027

Coursework across Data Structures & Algorithms, DBMS, Operating Systems, Computer Networks and Software Engineering, alongside hands-on AI and full-stack project work.

Live from GitHub

GitHub Activity

Real-time stats pulled directly from my GitHub profile.

70
Repositories
40
Total Stars
27
Followers
4
Following

Contribution Graph

Prince Yadav GitHub contribution graph

Top Languages

JavaScriptTypeScriptPythonHTMLCSS
Open to work

What I'm Looking For

The kind of role, team, and setup where I do my best work.

Roles
AI Developer · LLM Engineer · Full Stack
Type
Internship · Full-time · Contract
Location
Remote · India · Open to relocation
Availability
Available immediately

Let's build something exceptional

Open to internships, full-time roles, and collaborations. Let's talk.

Say hello

Contact Me

Sends straight to my inbox — you'll get an instant confirmation email.

Email
princeyadav76001@gmail.com
GitHub
github.com/prince-up
LinkedIn
www.linkedin.com/in/prince-yadav-4t/