📍 Bengaluru, Karnataka, India
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
| 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 |
🔸 quantum-pulse — Updated 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
🔸 zksn — Updated 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
🔸 forge — Updated 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
🔹 ai-co-workspace — Feb 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-Security — Feb 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-devops — Feb 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
🔹 AULCE — Feb 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-QA — Feb 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-LLM — Feb 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-Recognition — Nov 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-recognition — Oct 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-CodePipeline-s3-codedeploy-Linux — Mar 2025
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
Hands-on AWS foundational projects: EC2 Mac instance provisioning and transactional email via Amazon SES.
AWS EC2 Amazon SES Cloud Fundamentals
| 🔗 Portfolio | Notion Resume |
| naveen-badiger-6822b221b | |
| badigernaveen2@gmail.com | |
| 📍 Location | Bengaluru, Karnataka, India |
Building systems that actually ship. No prototypes.