hardware
MBK Geyser Monitor
An ESP32-based geyser temperature monitor with OLED display, local web interface, and remote dashboard — built from scratch with a 3D-printed enclosure.
Co-founder & CTO @ LearnOBots
Shamyl
Bin Mansoor
Technologist · Maker · Educator
Building Products that matter
SPECIALIZED IN ROBOTICS, STEAM EDUCATION, AND PRODUCTS THAT MATTER. SCROLL_Y TO INITIALIZE ▼
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Featured Work
Selected projects across software, hardware, and research
software
Pakistan Petrol Updates Dashboard
A live dashboard tracking daily OGRA-notified petrol, diesel, kerosene, and LPG prices in Pakistan with historical charts and global oil comparisons.
software
LearnOBots Library Management System
An office book management system with catalog browsing, issue/return tracking, member management, and overdue reminders.
software
LearnOBots Meeting Room Booking App
A calendar-based meeting room booking system for LearnOBots with department filtering, dashboard view, and admin controls.
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Latest Updates
Creality mBox: Is a $329 AI 3D Printer for Kids the STEAM Tool Schools Have Been Waiting For?
Creality's mBox is a $329 enclosed, AI-enabled FFF 3D printer aimed at children aged 6–16. Sold exclusively through TikTok Shop in the US until December 10, it pairs kid-safe hardware with AI model generation tools. Here is what the specs mean, how it compares to classroom alternatives, and whether it makes sense for STEAM educators and parents.
DeepMind's AlphaProof Code: What AI-Verified Cryptography Means for Software Teams
Google DeepMind used AI agents to formally verify Signal's cryptographic protocol down to machine instructions — over six million lines of Lean proof in four weeks. Here is what AlphaProof Code means for software engineers, CTOs, and product teams building security-critical systems.
Agentic Robotics: How AI Agents Are Learning to Program Robots Without Massive Datasets
UC Berkeley roboticist Ken Goldberg and NVIDIA's Spencer Huang have introduced 'agentic robotics' — a framework where AI agents generate, test, and refine robot-control programs in simulation. Presented at CoRL 2026, the approach bypasses the data bottleneck that has slowed robotics for years.