Building Autonomous AI Agents β’ RAG Pipelines β’ Scalable Microservices
π 3rd Place Winner β MotiaHackβ25
πΌ Open to Backend & GenAI Engineering Roles
I build production-ready Agentic AI systems that go beyond chat β they execute workflows, automate decisions, and scale reliably.
Core Focus Areas:
- Autonomous AI Agents
- Model Context Protocol (MCP) Systems
- Retrieval-Augmented Generation (RAG)
- Scalable Node.js Microservices
β βThe future of software isn't just a chatbot β it's an adaptive interface generated on demand.β
MotiaHackβ25 Winner
- Log monitoring & crash detection
- AI-suggested codebase fixes (Gemini)
- Human-in-the-loop validation
- Backend orchestration system
Natural Language β Production-ready API
- Backend generation from prompts
- Automated testing & deployment
- CI-integrated review workflow
- Dynamic React UI surfacing
- Context-aware interface generation
- Built with Tambo AI
- Secure local file indexing
- Automatic PII redaction
- Controlled context exposure
- AI-based resume detection
- Automated candidate extraction
- Reduced manual workload by 40%
AI & LLMs:
OpenAI β’ Claude β’ Gemini β’ Ollama
Backend:
Node.js β’ Express β’ TypeScript β’ JavaScript
Databases:
PostgreSQL β’ MongoDB β’ MySQL β’ Redis
DevOps:
Docker β’ AWS β’ Kestra β’ CI/CD β’ n8n
- Built AI Email Mining & Outreach Automation System
- Reduced marketing workload by 40%
- Designed scalable microservices (Node.js + TypeORM + MySQL)
- Architected REST APIs
- Contributing to text-only social platform
- Built with Next.js & GraphQL
π LinkedIn: https://linkedin.com/in/shubham-01-star
π§ Email: shubhamkumar990201@gmail.com


