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AI Tinkerers - New York City
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AI Tinkerers - New York City Hackathon

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DevRel Lead - Restate
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Team

ClawOps

Project Concept

ClawOps is an AI-native autonomous SRE (Site Reliability Engineering) assistant that detects, diagnoses, and remediates production failures through a structured conversational workflow. Instead of only alerting engineers, ClawOps closes the full incident loop, from failure detection to patch generation, validation, deployment simulation, and automated postmortem documentation.

Powered by the XMTP + Convos conversational model, the system acts as an AI incident command room where specialized agents collaborate in real time to resolve issues. The platform emphasizes transparency, supervised autonomy, and safe execution by separating reasoning from action.

ClawOps demonstrates how infrastructure can evolve from monitored systems to self-healing systems.

Entry

Status: Submitted

Last saved: February 28 at 4:00 PM EST

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Team Roster

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Yash Randhe Team Lead RSVP Approved

Student at Stevens Institute
This is a solo-built project. I was responsible for the entire product lifecycle, including ideation, architecture design, backend development, frontend implementation, agent workflow orchestration, Convos and XMTP integration, testing, debugging.
Yash Randhe a Data Analyst and Applied AI graduate student with a strong background in computer engineering and artificial intelligence. Having hands-on experience in data analytics, machine learning, and full-stack development, and has worked on real-world projects involving user behavior analytics, healthcare IT systems, and AI-driven applications. Interests focus on building scalable, data-centric solutions that solve practical business and societal problems.
My areas of interest include data analytics, applied artificial intelligence, and machine learning, with a strong focus on user behavior analytics and predictive modeling. I am also interested in building scalable SaaS and cloud-based applications, healthcare IT systems, and AI-driven decision-support platforms. Additionally, I enjoy working at the intersection of data, product design, and business strategy to solve real-world problems.
Working on a User Behavior Analytics platform that tracks and analyzes user interactions such as page visits, clicks, searches, and session activity across web and mobile applications. The system converts raw event data into actionable insights through dashboards and analytics, helping businesses understand user engagement, optimize user experience, and improve conversion rates.