Full-Stack Developer and AI/ML Engineer specializing in privacy-first, production-ready solutions that solve real-world challenges. With expertise spanning modern web frameworks, machine learning systems, and cloud-native architectures, I build applications that don't just work—they scale, perform, and empower users.
const chirag = {
code: ["TypeScript", "JavaScript", "Python", "Java"],
specialization: {
frontend: {
frameworks: ["React 18", "SvelteKit", "Next.js"],
styling: ["TailwindCSS", "shadcn/ui", "Radix UI"],
build: ["Vite", "Webpack", "Turbopack"]
},
backend: {
runtime: ["Node.js", "Python", "Java"],
frameworks: ["Express.js", "Flask", "Spring Boot"],
realtime: ["Socket.io", "WebSockets", "Server-Sent Events"]
},
databases: {
sql: ["PostgreSQL", "SQLite"],
nosql: ["MongoDB"],
orm: ["Prisma", "Mongoose", "TypeORM"]
},
ai_ml: {
frameworks: ["TensorFlow.js", "scikit-learn", "PyTorch"],
apis: ["OpenAI GPT-4", "Google Gemini", "Ollama"],
deployment: ["Client-side inference", "Edge AI", "Cloud APIs"]
},
devops: {
containerization: ["Docker", "Docker Compose"],
ci_cd: ["GitHub Actions", "GitLab CI"],
deployment: ["Vercel", "Netlify", "Render", "AWS"]
}
},
architecture: [
"Microservices", "Event-Driven", "Serverless",
"Offline-First PWA", "Real-time Collaboration"
],
philosophy: "Code is poetry written in logic, and every bug is just a plot twist waiting to be resolved."
};| Project | Description | Tech Stack |
|---|---|---|
| 🏥 AarogyaSense | Privacy-first AI Healthcare platform for rural diagnostics with local inference and offline-first architecture. |    |
| 🚗 CrashInsight | Advanced ML-based Traffic Accident Analysis System for spatial pattern recognition and clustering. |    |
| 🌾 Krushi-Sathi | Smart AI Assistant for farmers — crop prediction, soil analysis & weather insights. |   |
| 🌊 OceanOS | AI-driven Marine Monitoring System to detect anomalies and pollution patterns. |   |
| 🗂️ TaskFlow | Smart full-stack productivity tracker with task analytics and dashboards. |    |
privacy_first_development:
local_inference: "AI models run on device, not cloud"
zero_data_transmission: "Patient/user data never leaves device"
edge_computing: "Processing at the edge for privacy & speed"
offline_first_architecture:
service_workers: "Full app functionality without internet"
background_sync: "Data synchronization when connectivity returns"
local_storage: "IndexedDB for persistent offline data"
accessibility_champion:
wcag_compliance: "WCAG 2.1 Level AA standards"
screen_reader: "Full keyboard navigation support"
multilingual: "7+ Indian languages, text-to-speech"
production_mindset:
ci_cd: "Automated testing and deployment pipelines"
monitoring: "Error tracking, performance metrics, logging"
documentation: "Comprehensive README, API docs, architecture diagrams"
scalability: "Designed for 10K+ concurrent users from day one"
Open to collaboration on impactful projects