Projects by Shashank Shekhar - BuildOS, AI, Search & Product Systems

A blend of independent AI engineering platforms and enterprise systems across search, workflow orchestration, infrastructure, and automation.

All AI Automation Data Design System Developer Productivity Developer Tools DevOps Docker Enterprise Frontend Infra Infrastructure Knowledge Management Platform Search Workflow

BuildOS Ecosystem

Three products forming one AI engineering platform

Knowledge Hub

Understands repositories, docs, architecture, APIs, and engineering notes to build long-term project memory.

BuildOS Agent

Uses that context to plan, reason, document, coordinate AI models, and assist software development.

Node Commander

Executes infrastructure operations, Docker workflows, deployments, migrations, and server management.

Independent•2026 - Present

BuildOS Knowledge Hub

Knowledge management layer that indexes repositories, docs, architecture notes, prompts, and API specs into structured OKF engineering knowledge for AI agents.

Problem: Engineering knowledge is scattered across repositories, READMEs, docs, prompts, API specs, and architecture notes, forcing developers to repeatedly rebuild context.

Tech stack: Next.js, FastAPI, PostgreSQL, Redis

Outcome: Created a structured project memory layer that extracts applications, modules, APIs, services, schemas, dependencies, decisions, and deployment workflows for AI retrieval.

View project details and related implementation Live GitHub

Knowledge ManagementAIDeveloper ProductivitySearch

Enterprise•2019 - Present

High-Scale Product Discovery Platform

Enterprise-scale product discovery platform for 7.7M+ SKUs with schema-driven UI, faceted search, and bulk editorial workflows.

Problem: Retail teams had to search and curate millions of SKUs with tools that could not keep up — slow search, no governance, and risky bulk updates.

Tech stack: Angular, Typesense, FastAPI, PostgreSQL

Outcome: Delivered a high-scale Typesense search interface and product engineering workflow that improved discovery speed and editorial consistency.

View project details and related implementation CrowdAnalytix

EnterpriseSearchWorkflowAI

Enterprise•2020 - Present

Taxonomy & Classification Management System

Governed taxonomy and ML-assisted classification system to manage categories and attributes across enterprise catalogs.

Problem: Catalog teams were classifying millions of products by hand, with inconsistent category rules and no reliable review process.

Tech stack: FastAPI, PostgreSQL, Typesense, Angular

Outcome: Built an Angular-led taxonomy application with ML-assisted review queues that improved classification accuracy and cut manual analyst effort at enterprise scale.

View project details and related implementation CrowdAnalytix

EnterpriseSearchAIWorkflow