Architecting Intelligence: Multi-Agent Systems • Production RAG • Scalable Cloud Backends
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I am a Software Architect and AI Engineer building production-grade multi-agent architectures, high-performance RAG pipelines, and scalable cloud backends. I focus on turning experimental frontier AI models into resilient, enterprise-ready systems.
- 🔭 Building: Autonomous agent swarms with stateful multi-model orchestration.
- 🚀 Open Source: Active contributor with 15+ merged PRs on
BasedHardware/omi(AI wearables ecosystem). - 🧠 Focus Areas: Multi-Agent Consensus, LLM Tool Routing, Vector Retrieval, Low-Latency Streaming APIs.
- 💬 Ask me about: Python/FastAPI backends, Next.js architecture, Agentic AI frameworks, and PostgreSQL tuning.
| Domain | Technologies & Frameworks |
|---|---|
| AI & LLM Orchestration | OpenAI, Claude, LangChain, AutoGen, Hugging Face, PyTorch, RAG Pipelines |
| Backend & Databases | Python, FastAPI, Node.js, TypeScript, PostgreSQL, Redis, REST & SSE |
| Frontend & UI/UX | React, Next.js, Tailwind CSS, TypeScript, Vite |
| DevOps & Cloud | Google Cloud Platform (GCP), Docker, GitHub Actions, Linux, CI/CD |
⚡ Agent-OSAutonomous Multi-Model AI Workspace An intelligent, Artifacts-style agent workspace featuring real-time code execution previews, multi-modal document parsing, camera feeds, and automated multi-LLM tool routing across 7+ model providers.
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Multi-Agent Quantitative Financial Intelligence A multi-modal quantitative advisory engine combining live financial market streams, balance-sheet extraction, and deterministic reasoning for portfolio risk analysis.
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Distributed Microservices Architecture for Agent Systems A scalable orchestration engine enabling parallel reasoning trees and automated task consensus across specialized agent swarms with Redis Pub/Sub.
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Open-Source AI Wearable Ecosystem Shipped 15+ approved production PRs: authored
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"The future belongs to those who build the autonomous systems that build the future."