Anshuman Singh
Devfolio, Community and Operations
Bengaluru, India
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Hey team! Anshuman here :D
Technical AI Safety Researcher. Robotics Hobbyist and Keyboard player.
Head of Operations @ Devfolio, with a tech background including OSS contributions to GitLab (GSoC) and Web3 projects (MLH Fellowship).
I'm highly intrigued by security, particularly Code Scanners, and while I don't get much time to explore this domain currently, I'm excited to grow and share knowledge with the OpenSearch community.
When not coding, you'll find me playing piano(actually learning still :p) or learning German! :)
Cheers!
Area of Expertise
Topics
Commanding SO101 with Agents
Working with hardware has always been tough. But over the last 2 years, the emergence of the SO-101 arm and the rise of AI agent architectures have opened up a new way to experiment -one that dramatically shortens the loop between idea and physical action.
In this session, I will briefly cover assembling and setting up the SO-101, then spend most of the time on: how AI agents can talk to and control the hardware. Starting with Claude Code and Codex, I will show how builders can create their own agents and then use MCP to connect them directly to the arm and issue movement instructions.
All scripts, implementations, and the MCP server used in this session are available at github.com/anshuman-dev/so101-project. The repo is actively being improved to make it more structured and easier for others to pick up and build on.
The bigger idea here is accessibility. Traditionally, operating robot arms required learning specialized, poorly-maintained software with long feedback loops. With AI agents and MCP as the interface layer, that barrier drops significantly. Builders, enthusiasts, and curious generalists can now go from zero to moving a robot arm without needing a robotics background.
Community-Powered Security: OpenSearch Analytics in Action
In this technical session, I'll demonstrate practical implementations of OpenSearch Security Analytics powered by community-driven detection rules. Through hands-on examples, you'll learn:
1. Configuring Security Analytics dashboards for threat detection
2. Building and sharing custom detection rules that benefit the community
3. Testing and validating community-contributed security rules
4. Contributing your validated rules back to OpenSearch
The demonstrations will cover security rule syntax, detection logic, and dashboard configuration. You'll learn both the technical implementation and the collaborative workflow for sharing security rules with the community. We'll explore how shared security patterns strengthen the entire OpenSearch ecosystem, turning individual security insights into community-wide protection.
Target Audience: Security practitioners and OpenSearch operators with basic security monitoring knowledge.
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