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Naveenub/README.md

Naveen Badiger

DevOps · Cloud · AI/RAG · Privacy Engineering · Data Systems

LinkedIn Portfolio Email

📍 Bengaluru, Karnataka, India


🧠 Who I Am

I build production-ready systems — not prototypes. Every project ships with CI/CD, typed code, modular architecture, and real infrastructure. Currently working across five domains:

  • 🔐 Privacy & Cryptography — ZK mixnets, encrypted P2P, Sphinx routing, ecash settlement
  • 🗜️ Data Engineering — extreme-density vaults, ML-driven compression, encryption at rest
  • 🤖 AI Agents & RAG — grounded LLM systems for DevOps, documents, and co-workspaces
  • ☁️ Cloud & DevOps — AWS-native, serverless, Kubernetes, full CI/CD pipelines
  • 📡 IoT Security — real-time, Raspberry Pi-ready, Dockerized industrial systems

⚙️ Tech Stack

Domain Tools
☁️ Cloud AWS EC2 · S3 · Lambda · API Gateway · IAM · CloudWatch · SES · Rekognition · Step Functions · CodePipeline
🔧 DevOps Docker · Kubernetes · GitHub Actions · Jenkins · Terraform · Ansible
🐍 Languages Python · Rust · JavaScript · Bash · HTML · Solidity
🤖 AI/ML LangChain · RAG · FAISS · ChromaDB · Claude API · HuggingFace · LoRA
🔐 Crypto Sphinx Packets · Poisson Mixing · Cashu Ecash · Monero · ZK Governance · Noise Protocol
🗜️ Data MsgPack · Zstd-L22 · AES-256-GCM · SHA3-256 Merkle · 39× compression
🗄️ Backend FastAPI · PostgreSQL · Redis · Kafka · asyncio
📡 IoT Raspberry Pi · MQTT · Real-time edge · Docker
📊 Monitoring ELK Stack · CloudWatch · Prometheus · Structured Logging

🚀 Projects

🔄 Active Builds


🔸 quantum-pulseUpdated Mar 6, 2026

Data Engineering | Extreme-Density Encrypted LLM Data Vault

Extreme-density data vault purpose-built for LLM training sets. MsgPack serialization + Zstd-L22 compression + AES-256-GCM encryption + SHA3-256 Merkle tree integrity. 39× compression ratio with full encryption and tamper detection at rest.

Python MsgPack Zstd AES-256-GCM SHA3-256 Merkle Data Engineering


🔸 zksnUpdated Mar 3, 2026

Cryptography | Metadata-Resistant P2P Mixnet

Jurisdictionally-agnostic, cryptographically-sovereign P2P mixnet. Sphinx packet routing, Poisson mixing for traffic analysis resistance, Cashu ecash micropayments, Monero settlement layer, ZK-based governance. Privacy that doesn't ask permission.

Rust Sphinx Packets Cashu Ecash Monero ZK Governance NixOS P2P


🔸 forgeUpdated Feb 27, 2026

Platform | 15-Agent AI Software Factory

Ship production software without writing a single line. Deploys 15 Claude AI agents across Architecture → Dev → Testing → Security → DevOps. Every stage is governed, every artifact is immutable, every decision is traceable.

Python FastAPI React Kubernetes Claude API Multi-Agent DevOps


✅ Complete


🔹 ai-co-workspaceFeb 10, 2026

AI Platform | Claude-Style Persistent AI Co-Workspace

Claude-inspired AI co-workspace with persistent memory, artifacts, transparent RAG pipeline visibility, and multi-model LLM support. A full workspace, not a chatbot.

Python RAG Persistent Memory Multi-LLM Artifacts


🔹 Open-IoT-Industry-SecurityFeb 8, 2026

IoT Security | Industrial Edge Security Platform

Real-time, safety-first industrial IoT security system. Raspberry Pi-ready, fully Dockerized, production-grade open-source. Built for edge-deployed industrial environments.

Python Raspberry Pi Docker IoT Real-time Apache 2.0


🔹 agentic-devopsFeb 5, 2026

Flagship | AI Agent for DevOps Incident Response

Local-first AI agent that diagnoses Kubernetes and CI/CD failures using real logs, cluster state, LLM reasoning, and RAG. Cost-aware AWS insights + automated Terraform remediation. Signal, not chatbot.

Python LangChain RAG FAISS Kubernetes AWS Apache 2.0


🔹 AULCEFeb 6, 2026

Research-Grade | Adaptive Universal Lossless Compression Engine

ML-driven universal lossless compression with multi-stage pipelines, intelligent strategy selection, explainable RAG reasoning, and live evaluation benchmarks. End-to-end, benchmarked, open-source.

Python ML RAG Compression Pipelines MIT


🔹 MultiDoc-RAG-QAFeb 7, 2026

Research-Grade | Multi-Document Intelligence

Full-stack RAG QA system across multiple documents. PDF/DOCX/TXT ingestion, vector DB retrieval, LLM-powered answers, explainable reasoning, evaluation metrics, interactive UI.

Python LangChain FAISS ChromaDB FastAPI Apache 2.0


🔹 Open-NanoScale-LLMFeb 6, 2026

Production-Minded | Nano-Scale LLM System

Clean-room open-source nano LLM — training, RAG augmentation, tool use, evaluation harness, live demos. Reliable, grounded generation through retrieval and deterministic pipelines.

Python HuggingFace Transformers LoRA RAG Apache 2.0


🔹 Serverless-Image-RecognitionNov 3, 2025

AWS Serverless | Lambda + Step Functions Image Pipeline

Serverless image recognition system using AWS Lambda, Step Functions orchestration, and Amazon Rekognition. Event-driven, scalable, zero-server architecture.

JavaScript AWS Lambda Step Functions Amazon Rekognition Apache 2.0


🔹 lambda-refarch-image-recognitionOct 30, 2025

AWS Serverless | Reference Architecture

Event-driven reference architecture for automatic image analysis. S3 upload → Lambda trigger → Rekognition classification at scale.

JavaScript AWS Lambda S3 Rekognition Apache 2.0


AWS DevOps | Full CI/CD Deployment Pipeline

End-to-end AWS deployment pipeline: CodePipeline → S3 → CodeDeploy on Linux. Continuous integration, automated testing, zero-downtime deployments.

HTML AWS CodePipeline S3 CodeDeploy Linux Apache 2.0


🔹 AWS Fundamentals Projects — Sep 2024

EC2 Mac Instance · SES Email

Hands-on AWS foundational projects: EC2 Mac instance provisioning and transactional email via Amazon SES.

AWS EC2 Amazon SES Cloud Fundamentals


📊 GitHub Stats

Naveen's GitHub Stats   Top Languages

GitHub Streak


📫 Reach Me

🔗 Portfolio Notion Resume
💼 LinkedIn naveen-badiger-6822b221b
📧 Email badigernaveen2@gmail.com
📍 Location Bengaluru, Karnataka, India

Building systems that actually ship. No prototypes.

Pinned Loading

  1. quantum-pulse quantum-pulse Public

    Extreme-density data vault for LLM training sets. MsgPack + Zstd-L22 + AES-256-GCM + SHA3-256 Merkle. 39× compression with full encryption and tamper detection.

    Python 3

  2. zksn zksn Public

    A metadata-resistant, jurisdictionally-agnostic, cryptographically-sovereign P2P mixnet. Sphinx packets · Poisson mixing · Cashu ecash · Monero settlement · ZK governance.

    Rust

  3. MultiDoc-RAG-QA MultiDoc-RAG-QA Public

    A research-grade, open-source multi-document QA system using Retrieval-Augmented Generation (RAG). Supports PDF, DOCX, TXT ingestion, vector DB retrieval, LLM-powered answers, explainable reasoning…

    Python

  4. AULCE AULCE Public

    Adaptive Universal Lossless Compression Engine (AULCE) is a research-grade, lossless universal compression system that uses ML-based strategy selection, hybrid pipelines, and explainable RAG reason…

    Python

  5. Open-NanoScale-LLM Open-NanoScale-LLM Public

    🧠 Open-NanoScale-LLM is a production-minded, nano-scale LLM system demonstrating how small models can achieve reliable, grounded generation through retrieval and deterministic pipelines.

    Python