Building AI-native products, developer tools, and scalable backend systems.
{
"name": "Suryansh Singh",
"role": "Founding Engineer @ CodePup.ai",
"education": "B.Tech CSE — KIIT University (Graduating Soon)",
"focus": [
"AI Systems",
"Full-Stack Engineering",
"Cloud Infrastructure"
],
"currently_building": "AI-native developer tooling and automation systems",
"cloud": ["GCP", "Azure", "AWS"],
"open_to": [
"Founding Engineer Roles",
"AI Engineering",
"Startup Opportunities"
]
}Building AI-powered developer tooling and scalable AI systems.
- AI application generation workflows
- Backend APIs and infra systems
- AI automation pipelines
- Internal developer tooling
- Cloud-native architecture
Prompt-to-app platform that generates full-stack applications using AI workflows and cloud infrastructure.
Next.js Python Azure AI Workflows
Distributed automation engine with async workers, retries, LLM pipelines, and scalable backend orchestration.
Python FastAPI Docker GCP
Agentic RAG platform with retrieval pipelines, query routing, parallel embeddings, and evaluation workflows.
Python LangGraph FastAPI Pinecone
Platform that converts websites into real-time voice AI agents with low-latency streaming and routing.
Next.js Express PostgreSQL Redis
Frontend → React • Next.js • TypeScript
Backend → Node.js • Express • FastAPI • Python
AI/LLMs → OpenAI • LangGraph • RAG Pipelines
Cloud → GCP • Azure • AWS
Database → PostgreSQL • MongoDB • Redis • Firebase
Tools → Docker • Git • Linux • Postman