Rule 30 is an AI-powered venture capital platform that autonomously evaluates early-stage startups for investment.

As Engineering Lead, I lead the technical team and own the full platform: a production multi-agent LLM system, 20+ microservices, ML prediction pipelines, and cloud infrastructure across AWS and GCP.

Key achievements:

• Built a multi-agent AI system that analyses startups for investment decisions,

• Architected 3 frontend apps (Next.js/React), 6 backend services (NestJS/GraphQL), 6 Python ML services (FastAPI), and shared libraries

• Designed an analytics data warehouse with semantic search capabilities

• Led the product launch and CRM deal pipeline integration

• Significantly reduced cloud infrastructure costs through service migration and resource consolidation

Koble is the technology company behind Rule 30 — building the AI platform that powers autonomous startup evaluation for venture capital.

As Engineering Lead, I built the platform from scratch and grew the engineering team:

• Designed and implemented the full microservices architecture: NestJS backend services, Python ML services, and React/Next.js frontend applications

• Built the ML prediction pipeline that scores startups for investment potential

• Created data pipelines for founder and company intelligence gathering with multi-provider fallback

• Developed shared TypeScript and Python libraries used across all services

• Managed Terraform infrastructure (AWS EKS), Kubernetes deployments, and CI/CD pipelines across 4 environments

• Led sprint planning, architecture decisions, hiring, and technical strategy