.png&w=256&q=75)
Hilay Trivedi@hilayt24
1
Events attended
1
Submissions made
India
6+ years of experience
About me
I build multi-agent AI systems and ship them to production, not to demos. My path into AI started before the LLM wave: computer vision projects, ML internships, and data pipelines. That foundation now shows up in solo-built SaaS products running on LangGraph, RAG pipelines, and the Claude and Gemini APIs, with real users and Stripe billing behind them. At rtCamp I have owned full engineering lifecycles for fintech, university, and high-traffic media platforms, including technical lead on a U.S. proprietary trading system and a company-wide AI framework adopted across 80+ engineers. I contribute to WordPress Core and am driving a proposal to add a first-class AI abstraction layer to it. What I bring is a specific combination: the system-design instinct of a senior engineer, the applied AI fluency of someone who actually deploys agents, and a track record of turning both into measurable business outcomes. I work remote, async-first, across time zones.
š¤ Top Collaborators
.png&w=640&q=75)
.png&w=640&q=75)
.png&w=640&q=75)
š¤ Latest Submissions
ATower Of Agents
ATower Of Agents is a control tower for enterprise AI-agent workflows, built around visible collaboration, evidence, and human review. Instead of treating AI agents as hidden background automations, ATower Of Agents places specialist agents into Band rooms where they can coordinate, hand off tasks, share context, debate findings, and leave an auditable trail of how work was completed. The platform is designed for workflows where teams need more than a single chatbot response. Operators can choose a business workflow, upload relevant company artifacts, assemble the right agent team, and receive a structured decision packet grounded in retrieved evidence. The first deep workflow is HR candidate screening, but the same architecture can support sales lead qualification, engineering change review, compliance review, procurement approvals, policy QA, and other high-stakes internal processes. ATower Of Agents combines a Next.js dashboard, FastAPI backend, Supabase Postgres/Storage/pgvector for workflow records and retrieval, LangGraph for orchestration, Band for agent collaboration, AIML API for routing and synthesis, and Featherless for independent verification. The goal is to make multi-agent systems useful for real enterprises by making their reasoning traceable, their outputs reviewable, and their decisions accountable.
19 Jun 2026
