name : Pavan Kumar Ponnuri
location : Visakhapatnam, Andhra Pradesh, India ๐ฎ๐ณ
education : B.Tech โ 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 ยท Distributed Systems ยท REST & GraphQL APIs
fullstack : Node.js ยท TypeScript ยท React ยท Vanilla JS
ai_native : LLM Integrations ยท Agent Frameworks ยท GenAI Product Engineering
data : EDA ยท ML Pipelines ยท Decision Trees ยท Random Forests
currently:
building : OpenClaw โ 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 โ 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: ๐ง ย Multi-agent architecture โ dedicated agent per platform, each with its own content types, generators, and publishing adapter โก ย Cascading LLM pipeline โ Cerebras (Qwen-3 235B) โ Groq (LLaMA 70B) โ NVIDIA (Nemotron 120B) โ fastest available model auto-selected at runtime ๐ธ ย Live post preview via Playwright screenshot rendered before any content goes live โ ย Human-in-the-loop โ approve, reject, reschedule, or change tone via Telegram before publishing โฐ ย Morning batch (8 AM) โ trend research โ 3 drafted posts โ sent to Telegram; evening performance report at 8 PM ๐ง ย Bulk HR offer letters โ Excel upload โ A4 PDF generation โ SMTP email dispatch
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What makes it special: ๐ค ย Groq Llama 3.3 70B generates day-by-day itineraries with restaurant and activity picks
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What makes it special: ๐ฌ ย Three input modes โ video upload, audio upload, or any public YouTube URL (auto-downloaded via yt-dlp)
๐ ย Timestamped transcription via Sarvam.ai
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What makes it special: ๐ ย Supabase Auth โ email/password plus Google OAuth with role-based access
๐ System Architecture |
What makes it special: ๐ฌ ย Terminal demos powered by Asciinema + video explanations per command ๐งช ย Guided practice mode โ step-by-step lessons with real-time contextual feedback ๐ ย Smart search & filter โ search by name, slug, or syntax; filter by category tag ๐ ย Per-user progress tracking โ completed and in-progress commands on a personal dashboard ๐ ๏ธ ย Admin dashboard โ create, edit, publish/unpublish, and delete commands with live preview ๐ ย Supabase Auth + RLS โ GitHub OAuth with row-level security for admin access control
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โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ โ
โ ๐งฉ Design First โ Architecture before code โ
โ ๐ Iterate Fast โ Ship MVPs, refine in production โ
โ ๐ API-Driven โ Every feature starts as an endpoint โ
โ ๐ค AI-Augmented โ LLMs as first-class system components โ
โ ๐ Measure Everything โ Logs, metrics, observability by defaultโ
โ ๐ฆ Own the Stack โ Backend to frontend to deployment โ
โ โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Generated daily by Platane/snk โ orange trail on the profile's purple palette
๐ START โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ ๐ DESTINATION
โ โ
โ ๐๐จ โโโโโ Backend โโโโโ Full-Stack โโโโโ GenAI โโโโโโบ โ
โ Mastery Products Agents โ
โ โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฃ
โ โ
โ 1. System Design 2. Scalable Platforms โ
โ Distributed systems Backend-heavy web products โ
โ โ
โ 3. AI Agents 4. Freelance Practice โ
โ LLM-powered tools Shipping quality for clients โ
โ โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
- ๐ผ ย Freelance and contract work โ backend APIs, full-stack platforms, AI integrations
- ๐ข ย Full-time roles โ backend, full-stack, and AI-native engineering
- ๐ค ย GenAI collaborations โ agent frameworks and LLM-powered products
- ๐ฌ ย Technical discussions โ system design, architecture trade-offs, and scaling
- ๐ ย Open source โ backend, AI, and developer-tooling projects


