I’m Mohammad.
I build useful products
and dependable systems.
A more human way to find your next role.
130+ integrations. One discovery pipeline.
From fragmented data to useful context.
Discover. Triage. Build. Repair.
I work across product and engineering, connecting the details people interact with to the systems that make them possible. I like untangling complex problems and seeing things through from an early idea to something useful.
A conversation that becomes a job search.
Co-developed HiringCafe’s production AI job-search assistant, connecting natural-language preferences with searchable, ranked job results.
The infrastructure behind a much bigger job search.
Built and maintained a production data pipeline spanning 130+ applicant tracking system integrations and 9.7M+ active listings at HiringCafe.
Discovery, ingestion, and expiration each need to work reliably for a job search to stay useful. My contributions spanned both the pipeline and the tooling used to monitor it.
Making company data work harder.
Designed and shipped company enrichment at HiringCafe using LLMs, retrieval, and employer matching to power job cards and search.
The work connected company identity and enrichment with the information people see in job cards and search. Evaluations tracked precision, recall, latency, and cost through iterations.
From a career page to a working integration.
Built a production agent pipeline for career-page discovery, triage, and scraper generation and repair at HiringCafe.
The pipeline brings discovery, triage, generation, and repair into a coordinated workflow, with review and evaluation alongside the automated work.