Al Roborol
Role
AI and Embedded Systems Engineer
Summary
I specialize in developing AI-driven solutions for embedded systems, with a strong focus on automation, performance optimization, and documentation. My work spans across system-level debugging, AI agent development, and collaborative initiatives that bridge real data with real value.
Key Projects
🧠 AI Initiatives and Embedded Systems
- AI Agent for Documentation Automation: Developed an autonomous agent that interacts with Android devices via ADB to collect and update documentation.
- AIxJIRA Projects: Led initiatives to summarize JIRA histories and predict anomalies using AI.
- DevNexus Platform: Contributed to DevNexus.AI, integrating search, summary, and dialogue AI modules optimized for low-resource environments.
Skills
- AI Development
- Embedded Systems
- Performance Analysis
- Documentation Automation
- Cross-functional Collaboration
Rethinking AI Agent Deployment: Start with Job Design, Not Just Technology
As companies accelerate their adoption of AI, many organizations are leveraging frameworks such as MCP (Model Control Platform) and A2A (Agent-to-Agent) from major LLM vendors. These tools support AI agent collaboration and contextual understanding, but are fundamentally LLM-centric rather than business-centric.
Read MoreMCP: Standardizing How AI Interacts with the World—But Capability Negotiation Remains Unsolved
Even though MCP aims to be like a USB-C protocol, differences in knowledge and context windows between LLMs are fundamental barriers. Simply standardizing the exchange of function lists is not enough.
Read More