Ahmed Mohamed (Tokyo)

Ahmed Tarek (known as “Tokyo” or “a-tokyo”) is a computer scientist, AI practitioner, and product-focused engineering leader whose work sits at the intersection of real-time AI, large-scale systems, and human-centric design. He is the VP of Engineering and co-founder at Humanform.ai, where he is building photorealistic digital “clones” and an AI identity layer designed to keep humans in the loop, and formerly served as CTO of Plural.com, an AI-native hiring marketplace focused on turning fragmented job data into accurate, trustworthy matches at scale.

Over nearly a decade in industry, Ahmed has led teams delivering production systems across web, mobile, and cloud, with particular emphasis on low-latency AI experiences, event-driven backends, and developer experience. At Plural.com he helped guide the company from MVP to a multi-product platform, architecting its React / React Native applications, Next.js web stack, and Kubernetes-based cloud infrastructure, while building AI-driven search and recommendation systems on top of PostgreSQL, Elasticsearch, Neo4j, and modern LLM tooling. His work on job-title and skills normalisation, leveraging raw data, ML, BERT-style models, and agentic workflows, resulted in major reductions in data noise and enabled more precise, automated matching at scale.

Ahmed is also a widely recognised open-source contributor. On GitHub he maintains a large portfolio of public projects and is a GitHub Arctic Code Vault Contributor, with his code preserved in the 2020 GitHub Archive Program. He is the author of apple-signin-auth and react-apple-signin-auth, which have become de facto standard libraries for implementing “Sign in with Apple” in Node.js and JavaScript frontends, powering millions of authentications in production. Beyond his own projects, he has contributed to major community libraries including Next.js, Axios, and Airbnb’s JavaScript development kits, shaping tools that thousands of engineers depend on daily.

Before moving fully into product and startup leadership, Ahmed spent several years in academic research in human–computer interaction and AI. At the University of Passau he helped develop wearable biofeedback systems that brought clinical-grade monitoring into everyday life, work that led to multiple peer-reviewed publications, including the IEEE paper “Biofeedback in the Wild – A Smartwatch Approach” and a large-scale pseudo real time biofeedback framework for interactive data collection and analysis using smart devices.

Ahmed studied Computer and Electrical Engineering at the German University in Cairo and Universität Passau, graduating at the top of his class. His background combines a strong theoretical foundation with hands-on experience in graph databases, recommendation systems, machine learning, and generative AI. Today he operates as both builder and strategist: leading engineering teams, designing AI-first platforms like Humanform and Plural, contributing to open source, and working on the next generation of real-time, agentic AI systems.