AI Systems Engineer · Chennai, India · Remote
I design and build AI systems, from the first idea to production.
Agents, agentic workflows, retrieval and memory, plus the backends, data models and infrastructure underneath them. Shipping software since 2020; today a senior engineer on a manufacturing SaaS platform, and building my own agent tooling on the side.
What I build
Agentic systems
Multi-agent orchestration, tool and MCP design, working memory, and the review and verification loops that make agent output trustworthy.
AI products, 0 to 1
From a vague problem to a shipped product: framing, data model, APIs, interface, deployment, and the feedback loop after launch.
Foundations
Kotlin and Spring Boot services on PostgreSQL, six ERP and accounting integrations, and infrastructure as code on AWS and GCP.
Selected systems
All work →- Agentic Workflow SystemIn daily useOne kernel file, a stage ladder, file-based working memory, and enforcement hooks shared by Claude Code, Codex, OpenCode and Cursor.
- Tachyonv1.1.1 releasedSingle-binary code reader and review workbench: live diffs across worktrees, pinned intent cards, Rust and Go engines.
- SwitchboardSandbox deployConnectors for Intercom, Slack, Linear and Attio; agents declare what they may do; a ledger gates every write.
- Ad StudioIn internal useGuarded browser capture, agent-written scripts with human approval, HTML-to-video rendering, local voice, and loudness QA.
- Pulse and AgentLensIn personal usePulse, a contribution dashboard with a desktop app, then AgentLens, a focused rewrite for agent sessions.
- SuttruLiveVoice translation, a sign and menu reader, grounded answers, and transit routing in an offline-capable PWA.
Writing
All writing →Working together
I am open to AI engineering roles and a small number of zero-to-one builds where the hard part is the system, not the screen. The fastest way to reach me is email.