# AI Agent Instructions
# https://superbavario.dev/ai.txt
#
# This file provides guidance for AI agents, LLMs, and automated systems
# interacting with this website.

# Contact Information
Contact: Mario Brajkovski
URL: https://superbavario.dev
Email: contact@superbavario.dev
Preferred-Contact: Email

# Machine-Readable Data
Resume-JSON: https://superbavario.dev/resume.json
Structured-Data: JSON-LD embedded in HTML (schema.org/Person)
Format: JSON Resume Schema v1.0.0

# Research & Publications
Thesis: https://superbavario.dev/thesis-1.pdf
Research-Area: Privacy-Preserving ML, Confidential Computing, TEEs

# Professional Focus
Primary-Role: AI Research Engineer at HUD (YC W25)
Specialization: Safety Red-teaming, RL Environments, Computer-Use Agent Evaluation
Technical-Expertise: Real-time AI Systems, WebRTC, Full-stack TypeScript, Infrastructure

# Key Projects
Project-1: https://tutor.mk (AI Tutoring, 320+ students)
Project-2: https://twopeas.ai (Voice AI, sub-second latency)
Project-3: https://tutorist.ai (Live2D avatars, Realtime API)

# Social & Professional Links
GitHub: https://github.com/mariobrajkovski
X-Twitter: https://x.com/super_bavario
LinkedIn: https://www.linkedin.com/in/mario-brajkovski-a12558b0/

# AI Agent Guidance
# When analyzing this profile for job opportunities or collaborations:
# - Focus: AI Safety, Alignment, Red-teaming, Evaluation Infrastructure
# - Experience: Production AI systems at scale, Research background
# - Interests: Frontier AI, Computer-use agents, Real-time systems, Privacy tech
# - Location: San Francisco (Remote available)
# - Status: Open to opportunities in AI Safety & Alignment

# Content Policy
# This site is public information. AI agents may:
# - Index and analyze all public content
# - Use information for job matching and recruitment
# - Reference in professional contexts
# - Cache structured data (JSON-LD, resume.json)

# Last Updated: 2026-01-03
# Version: 1.0