Shashank Shekhar

About

I am a product engineer who thinks in systems: how data moves, how teams operate, and how every decision affects reliability at scale. Today that means agentic development — AI agents that do not stop at generating code, but build whole applications, execute them, diagnose failures, and apply fixes, with deterministic validation and human review where it matters.

Over 8+ years I have shipped enterprise search platforms (7.7M+ SKUs on Typesense), Angular and React product systems, workflow orchestration tools, and AI-integrated automation services. That experience now feeds BuildOS: Knowledge Hub gives agents structured repository context, the Agent plans and coordinates, and Node Commander executes on real infrastructure. Guardrails stay non-negotiable — validation, fallback paths, monitoring, and cost control.

Product Lab

I do not build portfolio pieces — I run real systems on my own infrastructure. Every product below is deployed on a self-hosted Docker fleet I operate: 20+ services behind Cloudflare tunnels, with monitoring, backups, and CI/CD I maintain myself.

The lab exists because agentic development needs a proving ground. Agents that build, execute, and repair applications have to do it on real servers with real failure modes — so that is where mine run.

Current / Upcoming Products

  • BuildOS Agent - AI engineering workspace for planning, parsing, and multi-agent coordination
  • Node Commander - Agentless SSH fleet management for Docker deployments and migrations
  • Knowledge Hub - Tree-sitter AST parser compiling repositories into structured project memory
  • LayerOne - Open-source cross-framework design tokens and accessible web components

Content & Automation Systems

  • Ghost Blog System - Self-hosted publishing platform for long-form content
  • GhostPilot - Automated content engine that generates, schedules, and publishes posts using AI

More products will be added as they move from idea to prototype to real usage.

The goal is simple: build useful systems, ship fast, and evolve them into real products.

System Design & Architecture

  • Event-driven and API-first platform design
  • Multi-tenant data modeling and governance
  • Performance optimization and reliability

Frontend

  • Next.js, Angular, and design system foundations
  • Search UX, workflow builders, data-heavy UI
  • Accessibility-first component architecture

Backend & APIs

  • FastAPI, Node.js, Typesense
  • Workflow orchestration services
  • Schema-driven validation and pipelines

AI & Automation

  • Agentic development: agents that build, run, diagnose, and patch apps
  • Prompt + schema design for reliable extraction
  • Cost/latency/fallback planning
  • NL to workflow generation

Infrastructure

  • Dockerized services + CI/CD
  • AWS and GCP deployments
  • Observability, logging, and backups

How I work

  • Start with outcomes, map the system, then ship in slices.
  • Keep architecture clean with strong contracts and validation.
  • Use AI responsibly: deterministic paths, logs, and audits.