Sattyam jain sattyamjjain

Portfolio • Book a Call • LinkedIn • Email • GitHub

About Me

I'm a GenAI Architect & Tech Lead building production-grade AI platforms that ship real outcomes — not demos. I focus on agent orchestration, reliability, cost efficiency, observability, and cloud-native architecture.

Highlights

pyAGI — autonomous agent framework acquired (AGI House ecosystem)
Agentify — production multi-agent platform (15+ specialized agents) with enterprise reliability
MannSetu — voice-first AI mental wellness platform for India (50+ active users)
VAJRA — autonomous find-and-fetch robot (Jetson Orin Nano + ROS 2 + NanoOWL) — building in public
Built systems with measurable impact: 70% LLM cost reduction, 99.9% uptime

If you want a 10-second summary: I build agentic systems that work in production — software and physical.

Core Strengths

Domain	Details
Multi-Agent Systems	Role design, tool calling, memory, governance, deterministic workflows
GenAI Engineering	Routing, budget controls, evals, guardrails, RAG, secure execution (micro-VM)
Cloud Architecture	AWS + Azure, multi-tenant SaaS, IaC, networking, queues, caching
Ops Mindset	Observability (Datadog/Sentry/PostHog), incident response, cost visibility, SLAs

Tech Stack

Featured Projects

ferrumdeck _{Production-grade AgentOps control plane. Rust governance engine + Python LLM runtime + Next.js dashboard. Deny-by-default policies, budget enforcement & audit logging.}	zerotrust _{On-device AI Chrome extension for real-time website security analysis. Privacy-first threat detection that runs entirely in the browser — no data leaves your machine.}	mnemo _{MCP-native AI memory database written in Rust. Persistent conversational memory for AI agents with semantic search, context windowing & efficient vector storage.}
agent-airlock _{Security firewall for AI agents — validates tool calls, strips ghost arguments, enforces type safety, PII masking, RBAC, cost tracking & sandbox isolation.}	vajra _{Autonomous find-and-fetch robot. Jetson Orin Nano + ROS 2 + NanoOWL vision. Named after Indra's thunderbolt. Building in public.}	agent-audit-kit _{Security scanner for MCP-connected AI agent pipelines. 77 rules, 13 scanners, OWASP Agentic 10/10, GitHub Action, SARIF, taint analysis, tool poisoning detection.}

AI Agent Security Stack

I'm building the open-source security infrastructure for AI agents — from static analysis to runtime firewalls to operational control planes.

Layer	Project	What It Does
Pre-deployment scanning	agent-audit-kit	Static security scanner — 77 rules, SARIF, OWASP 10/10, taint analysis
Runtime firewall	agent-airlock	Validates tool calls, strips ghost args, PII masking, RBAC, sandboxing
Operations control plane	ferrumdeck	Rust governance engine, budget enforcement, deny-by-default policies
Agent memory	mnemo	MCP-native memory database, semantic search, context windowing
Browser security	zerotrust	On-device AI threat detection, privacy-first, runs entirely in browser

More Notable Projects

Project	What it is	Links
pyAGI	Autonomous agent framework (acquired)	Repo ·
AgentX	Unified agent framework playground (tools + eval + obs)	Repo ·
PrimeAcrossAll	Same problem across many languages (Docker-based)	Repo ·
Dynamic-ML-Orchestration	Serverless ML orchestration patterns	Repo ·
PyVerseAI	Collection of AI + cloud projects	Repo ·