Elias Tounzal is a Senior Fullstack Software Engineer with over eight years of experience building AI-native tools for data analysis and decision-making.
Since March 2025, Elias Tounzal has served as a Senior Fullstack Software Engineer at Standard Metrics, a portfolio analytics platform serving venture capital and private equity firms. In this role, he built and shipped the company's AI Analyst, owning the full frontend and contributing to the core backend agent. The product scaled from a single-company chat interface to a multi-portfolio system adopted by 90 or more firms, reaching 234 active users across 622 conversations within two months of launch. He led the introduction of Generative UI capabilities, enabling the AI Analyst to dynamically generate chart-based visualizations alongside text responses using OpenUI, allowing investors to surface visual answers to analytical questions about their portfolios. He also led the migration of the entire frontend stack to React 19, coordinating upgrades of dependent libraries to improve long-term maintainability, and reduced linting errors by 50% by redesigning developer workflows. Beyond the AI Analyst, he scaled tear sheet workflows across client firms, replacing manual Excel aggregation processes with real-time collaborative systems that save an estimated 450 to 700 hours annually across investment and finance teams.
Prior to Standard Metrics, Elias Tounzal spent nearly six years as a Senior Fullstack Software Engineer at ActiveViam in New York and Paris (July 2019 to February 2025), where he built and shipped features for Atoti, a real-time business intelligence platform for large-scale multidimensional data analysis. He designed and implemented more than ten algorithms converting user actions into multidimensional server queries, and led the design and development of over 100 product features across both frontend and backend systems. He built an AWS-based module using AWS SAM and Lambda that generated more than 50 evaluation licenses daily, and increased codebase test coverage by 50% by establishing Testing Library as a team standard and building internal tools to simulate HTTP and WebSocket interactions. He also mentored four junior developers and trained eight engineers on testing practices.
Before ActiveViam, Elias Tounzal worked as a Fullstack Software Engineer at Theodo from April 2017 to June 2019, delivering projects across offices in Paris and London.
During that time, he built five web and mobile applications across fintech and insurance domains for clients including BNP (an investment banking platform built with React and Flask), SMBC (a sales data tool using React and GraphQL), Admiral (web and mobile insurance apps in React and React Native with Django), and CRC (a survey platform using React, TypeScript, PHP, and AWS Serverless). He trained three development teams on React and agile practices and doubled team development speed within 12 weeks through continuous improvement methods.
Elias Tounza was recognized as the winner of the Cases & Faces 2026 award in the AI & Machine Learning engineering category. He has served as a judge at several prominent events, including Code Olympics 2026, the AITEX Summit Winter 2026, and the AI Agents & MCP Hackathon sponsored by OpenAI, CrewAI, and Nevermined. He has also participated in events including AI 2026 (Eragon & Corgi) and multiple MCP Connect hackathons in San Francisco. In January 2019, he spoke at the React London Meetup, presenting on component behavior testing with Jest and Enzyme. He has also participated in DjangoCon Europe and the Lean Summit.