name : Pavan Kumar Ponnuri
location : Visakhapatnam, Andhra Pradesh, India 🇮🇳
education : B.Tech — Computer Science
title : AI-Native Full-Stack Software Developer & Freelancer
philosophy : "Ship systems that are simple to use, hard to break, and easy to scale."
domains:
primary : Backend Architecture · Distributed Systems · REST & GraphQL APIs
fullstack : Node.js · TypeScript · React · Vanilla JS
ai_native : LLM Integrations · Agent Frameworks · GenAI Product Engineering
data : EDA · ML Pipelines · Decision Trees · Random Forests
currently:
building : OpenClaw — Multi-Agent AI Social Media Automation System
designing : Scalable backend systems & API architectures
exploring : Autonomous AI agents & multi-tool orchestration
studying : Advanced system design & distributed computing
freelancing : Backend APIs, full-stack apps & AI integrationsI build backend-heavy, AI-native, full-stack software for products and clients. My work sits at the intersection of robust system design and intelligent automation — from production e-commerce platforms to AI travel planners powered by LLMs. I care about systems that are simple to use, hard to break, and easy to scale.
What makes it special: 🧠 Multi-agent architecture — dedicated agent per platform, each with its own content types, generators, and publishing adapter ⚡ Cascading LLM pipeline — Cerebras (Qwen-3 235B) → Groq (LLaMA 70B) → NVIDIA (Nemotron 120B) — fastest available model auto-selected at runtime 📸 Live post preview via Playwright screenshot rendered before any content goes live ✅ Human-in-the-loop — approve, reject, reschedule, or change tone via Telegram before publishing ⏰ Morning batch (8 AM) — trend research → 3 drafted posts → sent to Telegram; evening performance report at 8 PM 📧 Bulk HR offer letters — Excel upload → A4 PDF generation → SMTP email dispatch
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What makes it special: 🤖 Groq Llama 3.3 70B generates day-by-day itineraries with restaurant and activity picks
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What makes it special: 🎬 Three input modes — video upload, audio upload, or any public YouTube URL (auto-downloaded via yt-dlp)
📝 Timestamped transcription via Sarvam.ai
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What makes it special: 🔐 Supabase Auth — email/password plus Google OAuth with role-based access
📐 System Architecture |
What makes it special: 🎬 Terminal demos powered by Asciinema + video explanations per command 🧪 Guided practice mode — step-by-step lessons with real-time contextual feedback 🔍 Smart search & filter — search by name, slug, or syntax; filter by category tag 📈 Per-user progress tracking — completed and in-progress commands on a personal dashboard 🛠️ Admin dashboard — create, edit, publish/unpublish, and delete commands with live preview 🔐 Supabase Auth + RLS — GitHub OAuth with row-level security for admin access control
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┌───────────────────────────────────────────────────────────────────┐
│ │
│ 🧩 Design First — Architecture before code │
│ 🔁 Iterate Fast — Ship MVPs, refine in production │
│ 🔌 API-Driven — Every feature starts as an endpoint │
│ 🤖 AI-Augmented — LLMs as first-class system components │
│ 📏 Measure Everything — Logs, metrics, observability by default│
│ 📦 Own the Stack — Backend to frontend to deployment │
│ │
└───────────────────────────────────────────────────────────────────┘
Generated daily by Platane/snk — orange trail on the profile's purple palette
🏁 START ═══════════════════════════════════════════════ 🏆 DESTINATION
║ ║
║ 🚗💨 ───── Backend ───── Full-Stack ───── GenAI ─────► ║
║ Mastery Products Agents ║
║ ║
╠══════════════════════════════════════════════════════════════╣
║ ║
║ 1. System Design 2. Scalable Platforms ║
║ Distributed systems Backend-heavy web products ║
║ ║
║ 3. AI Agents 4. Freelance Practice ║
║ LLM-powered tools Shipping quality for clients ║
║ ║
╚══════════════════════════════════════════════════════════════╝
- 💼 Freelance and contract work — backend APIs, full-stack platforms, AI integrations
- 🏢 Full-time roles — backend, full-stack, and AI-native engineering
- 🤖 GenAI collaborations — agent frameworks and LLM-powered products
- 💬 Technical discussions — system design, architecture trade-offs, and scaling
- 🌍 Open source — backend, AI, and developer-tooling projects

