// Full Stack & AI Engineering
AI Product Engineer

Building intelligent software with
RAG • LLMs • Full Stack Engineering

I'm Yash Rai — an AI Product Engineer building production-ready SaaS applications with React, TypeScript, Node.js, Generative AI, Docker, and CI/CD. Creator of ResumeAI4U.

ReactTypeScriptNode.jsGenerative AIRAGDockerCI/CDSupabase
bash ~ yash-portfolio
yash@ai-eng~/portfolio$whoami
→ Yash Rai | AI Product Engineer · Prayagraj, India
yash@ai-eng~/portfolio$
2 Live
Production SaaS
ResumeAI4U & AI Study Assistant
Live
AI & RAG Applications
Groq LLM & RAG Vector Pipelines
4 Earned
Certifications
Oracle, IBM, Microsoft & GenAI
10+ Tools
Core Stack
React, Node, TS, Docker, CI/CD

AI & LLM Integration

Production experience with OpenAI, Gemini, Claude & Groq Llama-3 API for sub-second inference.

Full-Stack Architecture

Type-safe React frontends connected to Node.js/Express REST APIs and Supabase/PostgreSQL databases.

DevOps & Cloud Ready

Configured GitHub Actions CI/CD pipelines, Docker containers, and automated Vercel deployments.

// 01 — Featured Work

Production AI Case Studies

Real applications built with engineering rigor, AI integration, and production infrastructure.

LIVE PRODUCTION (2026)

ResumeAI4U (Flagship SaaS)

AI-Powered ATS Resume Analyzer & Optimizer

The Challenge

Problem:80% of resumes are filtered out by ATS parsers before reaching a human recruiter due to missing keywords and formatting errors.

Solution:An instant AI analysis engine that parses resumes against target job descriptions, delivering ATS match scores, keyword gap analysis, and line-by-line optimization.

Engineering & Architecture

  • Groq API / LLM backend for sub-second inference latency over standard GPT-4.
  • Clerk authentication + Razorpay billing pipeline integration.
  • React + Node.js REST API architecture hosted on Vercel with automated CI/CD.
Key Features:ATS Scoring, Keyword Gap Detection, AI Line-by-Line Suggestions, Auth & Payments, Mobile Responsive.
ReactNode.jsGroq APITypeScriptRazorpayClerkVercel
LIVE PRODUCTION (2026)

AI Study Assistant (RAG Platform)

Interactive Study & PDF Knowledge Base Powered by RAG

The Challenge

Problem:Students struggle to digest long academic PDFs and lecture notes efficiently, spending hours skimming 200+ page documents.

Solution:An AI study companion that turns notes into an interactive learning environment with semantic search, instant QA, auto-flashcards, and quizzes.

Engineering & Architecture

  • RAG Pipeline: Vector embeddings with FAISS/ChromaDB + Gemini/Groq LLM for grounded contextual responses with citation support.
  • Supabase storage for document management & structured user metadata.
  • Express + Node.js backend handling document parsing, chunking, and vector indexing.
Key Features:PDF Upload, RAG Chat with Notes, Citation Support, Smart Summaries, Auto-Flashcards, Quiz Generator, Progress Analytics.
Future Roadmap:Voice Tutor, OCR Support, Mobile App, Exam Predictor.
ReactTypeScriptNode.jsExpressGemini / GroqRAG / Vector DBSupabaseTailwind CSS
// 04 — Tech Stack

Evidence-Based Skills & Technologies

Categorized technologies with verified project usage (no arbitrary percentage bars).

Frontend

ReactTypeScriptJavaScriptTailwind CSSHTML5CSS3

Verified Usage

  • ✓ ResumeAI4U
  • ✓ AI Study Assistant
  • ✓ Portfolio

Backend

Node.jsExpressREST APIs

Verified Usage

  • ✓ ResumeAI4U
  • ✓ AI Study Assistant

AI & ML

OpenAIGeminiClaudeGroq APILangChainPrompt EngineeringRAG

Verified Usage

  • ✓ ResumeAI4U
  • ✓ AI Study Assistant

Database & Storage

SupabasePostgreSQLVector DB (FAISS/ChromaDB)

Verified Usage

  • ✓ AI Study Assistant

DevOps & Cloud

GitGitHubDockerCI/CD (GitHub Actions)Vercel

Verified Usage

  • ✓ ResumeAI4U
  • ✓ Portfolio Pipeline

Developer Tools

VS CodePostmanFigmanpmCursor

Verified Usage

  • ✓ Daily Workflow & Prototyping
// 02 — Credentials

Certifications & Industry Training

Verified technical certifications in Cloud AI, Data Analytics, Automation, and Prompt Engineering.

2025

Oracle Cloud Infrastructure AI Foundations

Oracle Cloud

Skills Learned

  • OCI AI Services
  • Machine Learning Concepts
  • Large Language Models
2025

IBM SkillsBuild — Supercharge Your Data Analytics with GenAI

IBM

Skills Learned

  • Generative AI
  • Data Analysis
  • AI-Assisted Insights
  • Prompt Engineering
2025

Microsoft Power Automate

Microsoft

Skills Learned

  • Workflow Automation
  • RPA
  • System Integration
  • Business Process Logic
2025

Prompt Engineering & Generative AI Add-on

Industry Specialized Course

Skills Learned

  • LLM Fine-Tuning Principles
  • Context Window Optimization
  • RAG Architectures
// 03 — Impact

Achievements & Key Metrics

Measurable outputs and milestones achieved in software & AI engineering.

2
Live Production AI SaaS Products
2
Deployed Live Web Applications
4
Verified Technical Certifications
10+
Modern Engineering Technologies Mastered

Full-Stack AI Products

Built and deployed live SaaS applications with real-world authentication & payments.

Sub-Second AI Latency

Optimized LLM inference using Groq Llama-3 API for lightning-fast user experience.

RAG Pipeline Engineering

Designed vector-search context retrieval systems for document QA.

Cloud & CI/CD Deployment

Configured automated GitHub Actions workflows, Docker containers & Vercel hosting.

Continuous Upskilling

Earned certifications from Oracle, IBM, and Microsoft in AI & automation.

Academic Progression

5th semester BCA student building production software alongside CS fundamentals.

// 03 — Why Me

Why work with Yash

Ships Real Products

Not just localhost demos. I build and deploy products real people use — with auth, payments, and production infrastructure.

AI-First Approach

I integrate AI where it matters — from RAG pipelines to intelligent document analysis. Not buzzwords, real implementations.

Full Stack Capability

From Figma-quality frontends to scalable APIs and databases. One developer, complete product delivery.

Fast & Communicative

24-hour response time. Rapid prototyping with modern tools. You'll never wonder about project status.

// 05 — Timeline

Engineering Journey & Milestones

2024

College Enrollment & Foundations

Enrolled in BCA at United Institute of Management, FUGS (Prayagraj). Started programming with C, Python, HTML, CSS & JavaScript.

2025

Full Stack & Generative AI Engineering

Deep-dived into React, Node.js, Express & REST APIs. Explored LLM integration (OpenAI, Gemini, Claude, Groq API), RAG architectures & prompt engineering. Earned certifications from Oracle, IBM & Microsoft.

2026

Production SaaS & Live Products

Shipped flagship ATS resume analyzer ResumeAI4U (live with Clerk auth & Razorpay) and AI Study Assistant (live RAG platform at ai-study-assistant-0.vercel.app). Implemented Docker & GitHub Actions CI/CD pipelines.

2026 — Present

Internship Readiness

Actively interviewing and seeking Software Engineering, AI Engineering, and Full Stack Development Internships.

// 07 — FAQ

Frequently asked questions

// 08 — Contact

Let's build something together

If you're building something with AI, need a React frontend, or want to collaborate on a product — let's talk. I respond within 24 hours.