Omkar S.

🚀 Community Architect | AI-First Strategist | Driving Growth, Engagement & Innovation at AISquare | Building Scalable Digital Ecosystems through Automation, Storytelling & Data-Driven Insight Ex WPP| Ex Zoo Media

Role: Community Manager at Aisquare Studio
Location: Thane, MH, IN
LinkedIn followers: 500 followers

Customer/Client ServiceView LinkedIn profile

Experience

Community Manager
Aisquare Studio
Oct 2025 — Present · US
I lead AISquare’s digital community frontier architecting Discord ecosystems, deploying smart bots, and transforming engagement into data-backed growth. I craft strategies that amplify reach across X, LinkedIn, Instagram, and Reddit, producing flagship AI events, hackathons, and creative sprints that turn curiosity into collaboration. By fusing automation, storytelling, and analytics, I help AISquare stay top-of-mind in the AI creator landscape authentic, agile, and relentlessly AI-first.

Education

D. G. Ruparel College of Arts,Science and Commerce
HSC
2014 — 2016
St. Xavier's College
Bachelor of Management Studies
2016 — 2019

Contact information

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Work email
•••••@aisquare.studio
Personal email
•••••@•••••.com
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Current company

Aisquare Studio

Technology; Information and Media · 18 employees · Founded 2024 · Palo Alto, California, United States

AISquare | The System of Record for AI Decisions AI adoption is stalling. While enterprises are eager to deploy autonomous agents, Chief Risk Officers and legal teams are facing a \"hair-on-fire\" problem: the Black Box. If you cannot defensibly reconstruct how a critical AI decision was made, you cannot deploy it safely. AISquare is the governance infrastructure that makes AI agents auditable, governable, and trustworthy. We are the missing layer in the AI stack. Just as ServiceNow became the system of record for IT and Workday for people, AISquare is the System of Record for AI Decisions. We enable organizations to move beyond experimental \"intern\" agents to high-risk, mission-critical SuperExec agents that hold up under the most rigorous production standards. Redefining AI Explainability Most tools try to explain AI by using another biased LLM—creating a \"hallucination loop.\" AISquare is different: Deterministic Reasoning: We do not use LLMs for our explainability layer. Our platform uses a deterministic reasoning engine to create a Durable Decision Record. Reasoning Markup Language (RML): We translate opaque agent behavior into traceable logic, capturing every claim, assumption, and piece of evidence used in a decision. Reasoning Graphs: Powered by Neo4j and Agno, our platform maps the non-linear path of an agent’s logic, providing a no-code interface for humans to audit and intervene. Built for Developers & Enterprise Governance Open-Source SDK: Our Python SDK is lightweight, framework-agnostic, and completely open-source. Wrap any agentic workflow in minutes. Free Governance Platform: Access enterprise-grade auditing tools at no cost via x.aisquare.studio. Zero-Training Privacy: We never use your data to train LLMs. Period. Local or Cloud: Run the SDK locally for maximum security or connect to our hosted environment for centralized oversight. Stop guessing why your agents fail. Start building AI that is auditable by design. Join the movement!

aisquare.studio

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Experience

Community Manager

Education

D. G. Ruparel College of Arts,Science and Commerce

St. Xavier's College

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