Professional Overview
Founder of Kruq (https://kruq.ai) — a production AI matchmaker built on multi-agent LLM orchestration: versioned prompts, structured-output validation, human-in-the-loop review, full analytics loop. Previously ops lead at a performance-traffic company (grew the team 4→15). I ship AI products end-to-end — from prompt to paying user.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built a production AI matchmaker on a multi-agent LLM pipeline
- Own versioned prompts + structured-output validation (JSON schemas)
- Designed Mixpanel event schema for the full funnel; fixed leaks
- Ran paid US user testing; 8-dimension rubric for LLM output quality
- Human-in-the-loop review; failure modes turned into regression tests
Key Achievements / KPIs
- 6/6 cold US testers understood the product in 15 seconds
- AI reflection rated 7–10/10 — "describes me perfectly"
- 4/6 testers willing to pay $50; onboarding ≈ $0.30/user
- Anthropic + OpenAI APIs orchestrated in production
Education
Field of Study: Environmental Engineering
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
