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

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

Independent2023 – Present

AI-Powered Workflow Builder Platform

Visual workflow builder with NL-to-graph generation, versioning, and separation between definition and execution layers.

Problem: Operations teams needed AI workflow automation with clear controls, reusable templates, and auditable execution paths.

Tech stack: FastAPI, SQLite, Alembic, React

Outcome: Shipped a production-ready workflow platform with FastAPI backend services, Docker deployment, and versioned workflow governance.

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AIWorkflowPlatform
Enterprise2019 – 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 needed an Angular product catalog system to manage millions of SKUs with governed search and bulk updates.

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

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

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EnterpriseSearchWorkflowAI
Enterprise2020 – Present

Taxonomy & Classification Management System

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

Problem: Catalog teams needed a consistent taxonomy workflow with a reliable search interface and frontend architecture for complex category rules.

Tech stack: FastAPI, PostgreSQL, Typesense, Angular

Outcome: Built an Angular-led taxonomy application with AI-assisted review queues and faster classification accuracy at enterprise scale.

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EnterpriseSearchAIWorkflow
Independent2025 – Present

AI-Integrated Automation Services

Automation services for PDF/text extraction into structured JSON with validation, deterministic post-processing, and fallback paths.

Problem: Product teams needed dependable AI workflow automation without brittle prompts or costly retry loops.

Tech stack: Python, FastAPI, Docker, Ollama

Outcome: Implemented FastAPI-based automation services with deterministic validation, reduced extraction errors, and stable Docker deployment patterns.

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AIWorkflowAutomation