Lavkesh Dwivedi

Agentic AI security · Cloud-native systems · Full-stack

I run empirical safety research on autonomous agents and ship the tooling that operationalizes it. Current work spans seven attack categories (C1-C7), tested across 29 models and 8 providers; the findings feed into production-ready detectors, evals, and red-team plugins contributed to garak, llm-guard, deepeval, promptfoo, and inspect_evals.

What I'm building

• Kogni·OS : Python agent framework built from scratch. SQLite-native RAG, readable ReAct loop, streaming, async, eval harness, HTTP serve, 9 providers (Anthropic, OpenAI, Groq, Gemini, Mistral, Cohere, Ollama, Bedrock, xAI)
• Bolo: bilingual speech and vocabulary app for toddlers (English + Hindi, Web Speech API, PWA)
• geo-pulse: signal-first geopolitics briefs with automated hourly updates (Python, GitHub Actions)
• BVSA: site for a grassroots nonprofit in Bundelkhand, built as a PWA for slow rural connections
• Planning Poker: real-time agile estimation tool; cards flip simultaneously so nobody anchors first (Firebase Realtime DB)

Tech

Languages   Node.js · Go · C# · Python · SQL
Infra       Kubernetes · Docker · cloud-native · GitHub Actions
AI / Agents Claude Code · MCP · agentic workflows

OSS contributions

AI safety / agentic security (Dwivedi 2026, preprint: empirical research across 29 models and 8 providers, C1-C7)

Other