Tech Lead (AI Architecture) | GenAI Architect & Agentic Systems Lead @ Attri.ai
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1-hour deep-dive consultation on AI architecture, multi-agent system design, LLMOps, or AgentOps. I'll review your current setup, identify bottlenecks, and provide actionable recommendations. Covers: agent orchestration patterns, LLM cost optimization (I've achieved 70% reduction), RAG pipelines, MCP integration, and production reliability. Ideal for startups and teams building AI-powered products.
Comprehensive code review and technical audit of your AI/ML codebase or multi-agent system. I'll assess architecture quality, security posture, scalability, LLM integration patterns, and production readiness. Deliverable: written report with prioritized recommendations. Perfect for investors doing due diligence or CTOs preparing for scale. Based on experience building 15+ production agents with 99.9% uptime.
Tech Lead with 6+ years building production-grade AI systems. Creator of pyAGI (acquired by AGI House/banana.dev). Currently leading multi-agent AI architecture at Attri.ai — orchestrating 15+ specialized agents with 99.9% uptime and 70% LLM cost reduction. Key projects: Agentify (enterprise multi-agent platform), MannSetu (voice-first AI wellness, 5K+ users), FerrumDeck (Rust+Python AgentOps control plane), Mnemo (MCP memory database), Agent-Airlock (AI security firewall), ZeroTrust (Chrome extension for AI security scanning). Expertise: GenAI/LLMs (GPT-5, Claude, o3), Multi-Agent Systems, LangChain, MCP, RAG, Python, FastAPI, Rust, AWS/Azure, Docker, Kubernetes, Terraform, PostgreSQL, Vector DBs. Previously: Senior AI Engineer at Zenarate (GPT-4 simulations), Team Lead at MyShubhLife (fintech ML pipelines). Deep Learning certified (Andrew Ng). Arctic Code Vault Contributor. 47 GitHub repos. Open to: Tech Lead/AI Architect roles, consulting, advisory, and speaking engagements on AgentOps and multi-agent systems.