Frontend Engineering
Senior frontend development using Angular, React, Next.js, TypeScript, design systems, dashboards, and scalable UI architecture.
AI-Integrated Product Engineer
I am Shashank Shekhar, a Senior Frontend Developer and AI-Integrated Product Engineer based in India. I build scalable web applications, search-driven product platforms, workflow systems, and AI-native tools using Angular, React, Next.js, TypeScript, FastAPI, Typesense, Docker, AWS, and GCP.
Featured app
A tool discovery and comparison platform for exploring AI products with a focused, opinionated workflow.
Homelab
A living record of the homelab systems, workflows, and reliability patterns I use to prototype and ship real products.
Senior frontend development using Angular, React, Next.js, TypeScript, design systems, dashboards, and scalable UI architecture.
Building AI-assisted workflows, LLM-powered interfaces, automation tools, and product systems that combine frontend, backend, and AI APIs.
Experience building product catalog systems, taxonomy tools, dynamic attributes, and Typesense-powered search interfaces for large SKU datasets.
FastAPI, PostgreSQL, Docker, CI/CD, AWS, GCP, and production-focused deployment workflows.
Open to EU/Remote roles focused on AI-integrated products, platform engineering, and workflow automation. I partner with product leaders to bring clarity, delivery velocity, and reliable systems.
Selected work across enterprise search, AI workflows, and automation systems.
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.
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.
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.
I help teams ship AI-enabled products that stay reliable, explainable, and cost-aware at scale.