Technology Lawyer
Ali is an intellectual property, technology and digital regulation lawyer based in London. He studied Philosophy, Logic & Scientific Method at the London School of Economics before qualifying as a solicitor. Ali's has a long-standing interest in technology. As a teenager, he built computers, ran gaming communities and maintained his father's business website. Today, that interest has narrowed to a specific question. How can AI and technology meaningfully extend what individuals can do on their own? As the first in his family to attend university, and the son of Iranian migrants, Ali actively supports widening access to the legal profession, and is interested in the role technology can play in levelling the playing field for underrepresented groups. Outside work, Ali trains in boxing and weightlifting.
Pam, named after The Office's Pam Beesly, is an AI virtual secretary, built to handle the operational overhead of a busy professional life. The system operates continuously as a Claude Code instance on a server in Germany. It manages schedules, monitors inboxes, surfaces time-sensitive information, and executes tasks such as restaurant bookings, expense logging, and research through a Telegram interface. Notably, it functions proactively rather than reactively. The platform integrates with Gmail, Google Calendar, Notion, Todoist, and similar tools. Its distinguishing feature is a Knowledge Base that stores user information, serving as the system's memory while addressing context length limitations and enabling collaborative knowledge building. Accessible via Telegram, Pam can independently research, review, analyze, and create information in the background, allowing users to concentrate on higher-value activities. The project originated as a personal productivity tool and now demonstrates a broader concept: that the right AI infrastructure, properly configured, can meaningfully extend what a single person can do in a day. The original version is currently live and actively used. A commercial service version packaging this infrastructure for individuals and small teams is in development.
Most supermarket trips are inefficient by design. You circle back through aisles you've already passed. You forget things until you're at the checkout. You navigate a layout you've never quite memorised. Valentin is a shopping app that solves this. At its core is a growing library of user-generated aisle maps: detailed, store-specific layouts that map product types to the physical aisles of supermarkets. Users submit a shopping list in any format they like: unstructured, incomplete, however they think. Valentin's AI parses the list, assigns each item to its category, and plots the most efficient route through the store. For supermarkets without a mapped layout, Valentin's Smart Aisles feature uses AI to allocate items to commonly-seen aisle categories, giving a useful starting point even without store-specific data. Aisle maps are built through a network of contributors, paid a small fee to log layouts while completing their regular shop. Over time, maps will be user-submittable and subject to a moderation and approval process, creating an ever-expanding, community-maintained dataset of real store layouts. Status: Proof of concept and powering our weekly shops, first aisle map live. Next stage: full iOS/Android build and App Store deployment.