AI Engineer
Building infrastructure for AI systems and real-world intelligence. Focused on products that ship.
Projects
AI CCTV Intelligence
Problem: Legacy surveillance systems show video, but not operational insight.
Solution: Built a real-time face recognition and alerting system for modern campus monitoring.
Impact: Turns CCTV streams into actionable identity, access, and safety signals.
Agent Security Layer
Problem: AI agents need a safety and policy layer before they can operate in real systems.
Solution: Shaped an SDK concept for securing agent behavior, decisions, and execution boundaries.
Impact: Positions Megent as infrastructure for trustworthy agent workflows.
AI Classroom Representative Agent
Problem: Classroom coordination still depends on manual updates and scattered communication.
Solution: Built repIt as an AI classroom representative agent to organize messages, reminders, and coordination.
Impact: Gives classroom communication a reliable agent layer.
Low-Resource NLP
Problem: Berta-English translation has limited high-quality machine learning support.
Solution: Trained a low-resource translation pipeline for Berta language preservation and access.
Impact: Supports indigenous-language digitization and future NLP tooling.
Community Platform
Problem: Community products need structure, identity, and flow, not just posts.
Solution: Built a platform for community connection and organized digital interaction.
Impact: Creates a product surface for community-led growth.
Solution: Implemented content-based and collaborative filtering for personalized recommendations.
Skills
Contact
Reach out for AI products, infrastructure work, or founder-level execution.
Email: mikilezen@gmail.com
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