The promised overshare.I turn messy problemsinto clear product directionand measurable outcomes.

Led research and design for hiring analytics, helping recruiters see where candidates get stuck and explain what needs to change. The feature helped win two large contracts against a competitor.

Covered research, design, and PM responsibilities for three to four months, working with four developers to define the scope, make delivery decisions, and follow the work through release.

Applied what I’d learned in process mining to hiring data, including candidate wait time at each stage. I tested the underlying ideas in code and worked on making the results understandable to recruiters.

Used AI in a one-week discovery sprint to bring together internal knowledge and competitor research. The resulting experience map, flows, and information architecture gave the wider design team a shared starting point.

Designed candidate management, score-based automations, candidate communication, and job creation for Alva’s hiring-platform expansion. I worked with the PM and engineers on the problem, scope, and measures of success, then took the flows through to delivery.

Took ownership of the design system’s structure, files, naming, and components. Connected Figma components to Storybook through AI-assisted Code Connect work, with engineering reviewing the implementation.

Currently exploring AI and agentic interview scheduling, including rescheduling and coordination between candidates and multiple interviewers. This work is still in progress.

Replaced a phone-based banner-sales process with a self-service flow. Vendors could choose an ad placement, area, and dates, then pay in installments deducted from their daily revenue.

After three months, banner-sales handling time was down 71% and calls per conversion had fallen from six to two. The flow handled 390 banner purchases a month.

Shared responsibility for the squad’s outcomes with the PM. We used opportunity solution trees, behavioral data, and customer research to decide what to work on and how to measure success.

Designed restaurant stories after finding that people were browsing for a long time without deciding what to order. The flow let them discover dishes and move directly to adding an item and paying.

Managed competing requests for the homepage from other squads, weighing their goals against the experience of the people using it.

Conducted design interviews, helped new hires settle in, and ran learning sessions on gamification and metric definition, alongside design book clubs.

Observed six analysts working through 12 attack scenarios and conducted eight in-depth interviews. Switching between tabs was making it hard to keep track of relationships and act on the evidence.

Designed a graph-based view of connected threats and a profile system that brought information and actions together. Customer churn fell from 25% to 2% within three months of launch.

Reworked the information architecture and checked it through card sorting and tree testing. Main-task success improved by about 15%.

Helped establish regular customer research and a dedicated design-system function over three years. During that time, the design team grew from two people to five.

Visited the labs weekly to watch reception staff work. They handled a busy, stressful queue almost entirely from the keyboard, which shaped the whole interaction approach.

Designed reception and patient registration, test results, reservations, and logistics from the ground up. Dense forms had to stay clear and fast to move through without reaching for a mouse.

The admission-flow redesign improved task success by about 35%; the new admin panel helped increase daily patient admissions by about 10%.

Took a university course in process mining to get to grips with the subject, working with engineers and academic advisors as the product took shape.

Designed the Process Explorer, Variant Explorer, comparisons, process maps, node and edge profiles, and Filter Studio, plus the design system that held them together.

The work helped win the company’s first customer, MCI, and raise $80,000 in funding. The process-mining experience later informed my analytics work at Alva.

Ran three exploratory research projects, including my first user interviews, and used what we learned to shape the roadmap with the PM.

Designed the audiobook app’s interface and trained the design intern working alongside me.

Worked across about 12 projects, including reservation and ticketing for Golestan Palace, the SAIPA homepage, and services for Tehran municipality districts.