AI Engineer @ Visionet Systems  ·  Ex Co-Founder @ Quanta  ·  Bengaluru, India

I build production-grade agentic AI systems — autonomous agents that reason, plan, use tools, and recover from failure at enterprise scale.

Currently at Visionet Systems, I orchestrate 50+ concurrent autonomous agents via a production MCP client, cutting end-to-end workflow latency by 35%. Before that, I co-founded Quanta and shipped 6 AI products across healthcare and enterprise.

• 🤖 Agentic Systems — multi-agent orchestration, MCP, A2A protocols, tool calling, adaptive planning
• 🧠 RAG & Memory — layered memory architectures, context compression, vector retrieval pipelines
• 🔍 LLMOps & Observability — LangSmith, Langfuse, Prometheus, Grafana, Ragas, Azure Purview
• 🔐 AI Governance — RBAC, audit logging, safety guardrails, human-in-the-loop systems
• ☁️ Cloud & Infra — AWS, Azure, GCP, Docker, CI/CD, MLflow

OpenDesk — Governed enterprise agentic automation platform. Multi-agent workflows across HR, IT, and operations with RBAC, audit logging, and safety guardrails. (Pre-production)

AgentVerse — Extensible multi-agent orchestration framework supporting 20+ specialized agents with dynamic tool discovery and layered memory. Achieved 28% latency reduction via retrieval caching and context compression.

Zeeno — AI-driven healthcare intelligence platform. Disease detection, clinical decision support, medical report analysis, and patient journey automation. 🏆 Winner — VisionTech Fest National Hackathon 2024

• Production agentic platforms with enterprise governance and reliability
• Multi-agent reasoning systems with self-correction and failure recovery
• Scalable RAG pipelines with adaptive memory and context management