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@pun33th45
pun33th45
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Puneeth raj pun33th45

Aspiring AI Engineer · LLM pipelines, AI agents, full-stack systems · Hyderabad

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pun33th45 /README.md

◈ 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
 [くろまる] QA Automation Intern @ Proxim Wireless
 [くろまる] LLM Pipelines · AI Agents · RAG Systems
 [くろまる] AI-first full-stack products
$ cat links.json
 portfolio : puneeth-dev.vercel.app
 github : github.com/pun33th45
 email : puneethraaaj@gmail.com
Stats
Streak


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.


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