◈ INIT

$ whoami PUNEETH RAJ Aspiring AI Engineer · Full Stack Dev Hyderabad, India $ cat mission.txt Build autonomous AI systems. Ship products that matter. Make intelligence — accessible. $ ps aux | grep current [●] QA Automation Intern @ Proxim Wireless [●] LLM Pipelines · AI Agents · RAG Systems [●] AI-first full-stack products $ cat links.json portfolio : puneeth-dev.vercel.app github : github.com/pun33th45 email : puneethraaaj@gmail.com

QA Automation Intern    Mar 2026 → Present

     

◈ STACK

_{⟨ AI / ML ⟩}

_{LangChain  ·  LangGraph  ·  LlamaIndex  ·  Groq  ·  HuggingFace  ·  OpenAI API  ·  Anthropic  ·  RAG  ·  Vector DBs  ·  Prompt Engineering}

_{⟨ Backend ⟩                                       ⟨ Frontend ⟩                                       ⟨ Infra ⟩}

       

_{FastAPI · Node.js · MongoDB · PostgreSQL · Redis  |  React · Next.js · TypeScript · Tailwind · shadcn/ui  |  Docker · GitHub Actions · Render · Railway}

◈ BUILDS

N8N WORKFLOW GENERATOR From prompt to production automation — instantly. Describe what you want automated in plain language. The system generates a complete, deployable n8n workflow — no manual node-building required. LLM-powered workflow intelligence meets visual automation. PROMPT ──▶ LLM Orchestration └──▶ Workflow Schema Generator └──▶ n8n-Compatible JSON └──▶ Deploy-Ready Automation Python  ·  LangChain  ·  n8n API  ·  FastAPI  ·  LLM Orchestration

RAG-BASED DEVELOPER ASSISTANT Contextual AI coding support powered by retrieval-augmented generation. An intelligent developer assistant that doesn't hallucinate — it retrieves. Indexes your documentation and codebase, then answers questions with precise, grounded context through a RAG pipeline. QUERY ──▶ Vector Retrieval (Semantic Search) └──▶ Context Injection └──▶ LLM Response Generation └──▶ Grounded, Accurate Answer Python  ·  LlamaIndex  ·  ChromaDB  ·  FastAPI  ·  OpenAI / Groq

AI STARTUP AGENT Niche in. Full startup intelligence report out. In seconds. Autonomous startup intelligence engine. Enter any market niche and receive a complete report: ideas, audience profiling, monetization strategy, MVP roadmap, and competitor analysis — all via a visual LLM pipeline at LPU speed. NICHE ──▶ Prompt Layer └──▶ Groq / Llama 3 (LPU Inference) └──▶ Ideas · Audience · Monetization └──▶ MVP Roadmap · Competitor Intel Langflow  ·  Groq  ·  Llama 3  ·  Python  ·  Prompt Engineering

PARKMATE ANDROID Smart parking management for seamless urban mobility. A native Android application that transforms the urban parking experience. Real-time spot discovery, booking, and navigation — designed for scale, built for daily use. USER ──▶ Smart Parking Discovery └──▶ Real-Time Availability Engine └──▶ Booking + Navigation └──▶ Seamless Urban Experience Android  ·  Java / Kotlin  ·  Firebase  ·  Google Maps API  ·  Material Design

◈ SIGNAL

  

_{Set up the contribution snake (one-time)}

Create .github/workflows/snake.yml in your pun33th45/pun33th45 repo:

name: Generate Snake
on:
  schedule:
    - cron: "0 0 * * *"
  workflow_dispatch:
jobs:
  generate:
    runs-on: ubuntu-latest
    steps:
      - uses: Platane/snk/svg-only@v3
        with:
          github_user_name: ${{ github.repository_owner }}
          outputs: |
            dist/github-contribution-grid-snake.svg
            dist/github-contribution-grid-snake-dark.svg?palette=github-dark
      - uses: crazy-max/ghaction-github-pages@v3
        with:
          target_branch: output
          build_dir: dist
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

╔══════════════════════════════════════════════════════════╗
║   Build systems that think.                             ║
║   Ship products that matter.                            ║
║   Make the invisible — inevitable.                      ║
╚══════════════════════════════════════════════════════════╝

_{Every system I build moves toward autonomous intelligence at scale.}

◈ UPLINK

     

_{Building at the frontier. Always open to conversations that push the boundary.}