Ayaz Vural
I like operations problems that turn into product problems. By day I work at a B2B SaaS company building internal tools and customer-facing flows. The side projects below are what I do for fun.
Side Projects
AI production pipeline for YouTube creators. 8 stages (research, script, voiceover, image prompts, sound design, assembly, thumbnail, metadata) that take an episode from idea to ready-to-edit. Built around each channel's voice. Marketing site is live; product in active development.
Multi-tenant iOS app for tracking Catan scores across friend groups. Uses TrueSkill (μ – 3σ) so confidence climbs with games played, and surfaces patterns like turn-order advantage and rating trajectory. Owned product, architecture, and the App Store submission end-to-end. The same engine now powers Padel Puntos for tracking padel matches.
A design for a place-based climate risk product. Pulls from IPCC AR6 and NASA NEX-GDDP-CMIP6 projections to show how a specific address will change over the next 30 years. Working design prototype; data pipeline in progress.
Work
Leading customer-facing e-commerce workstreams: a Shopify program (B2C storefronts + Lite templated offering) and an AI-powered website product. Both open new DTC revenue channels for Pepper's distributor customers.
Coded the "Become a Customer" credit-check onboarding flow end-to-end. Architected and shipped Demo Runner, an internal tool (Python + n8n) that spins up per-customer sandbox demo environments on demand.
Stood up and led a 15-person product-content team in the Philippines that ingests and structures data into Pepper's internal product library.
Built Python data pipelines and stood up sensor data infrastructure on InfluxDB and Grafana at a vertical farming startup. ~10,000 data points/day, 95% uptime.