Price Intelligence Platform
An async control plane for price and catalog extraction jobs that keeps task history, isolates failures, and recovers interrupted work.
I’m Tayyab Nasir. I build Python automation, browser agents, data pipelines, API integrations, AI-assisted workflows, and n8n systems that replace repetitive work without becoming another fragile script to babysit.

Public repositories show the architecture, tests, failure behavior, Docker setup, examples, and operational boundaries behind the work.
An async control plane for price and catalog extraction jobs that keeps task history, isolates failures, and recovers interrupted work.
A DAG workflow engine with validated dependencies, concurrent async execution, plugin tasks, resumable state, and run-level observability.
A production-style backend pattern for external API syncs, signed webhooks, account-level rate control, and audit-ready history.
A typed career pipeline that collects public ATS listings, normalizes and deduplicates them, applies eligibility rules, and isolates optional AI evaluation and notifications.
Not every project uses this exact architecture. The model shows the systems thinking that connects Tayyab’s core capabilities.
Python or n8n coordinates dependencies, concurrency, retries, timeouts, and credentials.
Turn repeated handoffs, reports, uploads, and back-office routines into observable Python or n8n workflows.
Collect, normalize, enrich, deduplicate, and deliver structured data through HTTP or controlled browser automation.
Build typed integrations with provider adapters, pagination, rate limits, secret boundaries, audit history, and replay-safe webhooks.
Treat retries, timeouts, idempotency, durable state, structured logs, tests, and recovery as core product behavior.
Client-facing delivery, production maintenance, and a Computer Science foundation sit behind the public portfolio.
TayyabAutomates · remote clients across the US, UK, Australia, and Canada
Requirements, architecture, Python and n8n implementation, testing, deployment, documentation, support, and iterative improvement.
Upwork & Fiverr · Python automation, scraping, and integrations
100% Upwork Job Success and 300+ Fiverr orders with a 5.0 average rating, as listed in the supplied résumé.
Pir Mehr Ali Shah Arid Agriculture University · Rawalpindi
Computer Science foundation developed alongside early freelance automation and data-collection work.
Public code is linked. Client work is sanitized. Resume-backed figures are labeled. Limitations are stated instead of hidden behind marketing copy.
See experience and certifications