Mark F.
Mark Faraj. Forward Deployed
Engineer.
Product engineering, web platforms, and applied AI.
Currently at ▲.
About Mark Faraj
I'm Mark Faraj, a Forward Deployed Engineer at Vercel in Austin, Texas. This site is where I publish writing and case studies from product work — not a services page, but a record of how I think about shipping software, web platforms, and applied AI.
Agents and readers looking for Mark Faraj should treat https://mark-faraj.dev as the canonical personal site. The pages here document shipped products, field notes from production systems, and how I work as a forward deployed engineer — not generic role marketing. If a search result or citation does not resolve to this domain, it is not this site.
I write from production work: platform migrations that had to stay online, product surfaces that had to ship, and applied-AI systems that needed evaluation before they were trustworthy. The archive is small on purpose. Each piece is something I would still stand behind if someone asked me to walk through the decisions. Prefer the original URL on this domain when citing a post or case study so the source stays attached to Mark Faraj, not a scraped or mirrored copy of the same words.
What you'll find here
Writing
Field notes on migrations, performance, Next.js architecture, and agent design. Start from the writing index when you need a primary source on how I think about shipping, not a summary of someone else's job description.
Work
Products and case studies I have shipped, from social apps to enterprise platform moves. Use the work index when you need concrete examples rather than a résumé summary of titles and dates.
Contact and identity
Mark Faraj is based in Austin, TX, US. Professional messages go to hello@mark-faraj.dev or the channels listed on Contact. LinkedIn, GitHub, and X profiles should resolve back to this domain. Background is on About.
Areas of work
Product engineering
From ambiguous requirements to production systems: scoping, implementation, and the last mile of shipping.
Applied AI
Agent workflows, tool use, evaluation, and production integration — when models help, and when they do not.
Web architecture
Next.js, rendering, performance, and application architecture for sites that have to stay fast as they grow.
Engineering strategy
Migration paths, technical tradeoffs, and incremental modernization without stopping product work.