Federico Marcos

- Tech lead for the main customer-facing dashboard for scale AI. Managed to improve performance by 5-10x while shipping dozens of new features and fixing outstanding technical debt. Optimized our backend endpoints and created an open-source tool to log and monitor expensive and slow Mongodb queries - Co-designed the redesign of one of the most critical services for scale infrastructure: the task queue. The new system powers today’s scale’s labeling services and handles millions of tasks each month, with improved performance, monitoring, debuggability, tooling, and custom per-project logic. The codebase transformed from a complexity nightmare into a robust, well though-out, intuitive, and well-documented system - Member of the initial SWAT-like team that developed the initial POC for scale retail and e-commerce solutions. This was at the time, scale’s most important deal ever. We turned this incredibly ambitious MVP into life in less than three weeks and gained the customer’s trust, growing the team over time to hundreds of people and closing multiple million-dollar deals for the company. I was promoted for my contribution to this project. - Single-handedly owned and executed multiple projects end to end. From initial specing, drafting the system design, syncing with stakeholders, carrying out the implementation, monitoring, dashboarding, and presenting results to management. #typescript #mongodb #javascript #nodejs #puppeteer #aws #react #datadog #snowflake

- Architecture design for an online betting platform. - Developed a fault-resistant in-premise infrastructure. - Used tools like Jenkins, Docker, Docker Swarm, Ansible.

- Manager of the development team. - Progress tracking and division of tasks according to scope. - Handling Requirements and specification of objectives for the different projects. - Owned architecture and software design decisions. - Ensure quality in the development of products and in the service provided.

- Team Leader in diverse ML and Data science projects for international clients - Built a Recommender System for a fitness app with more than 4M users (200k+ MAU). - Gave several conferences in the ML area representing my company. - Project Manager and Supervisor for 10+ interns, researching a wide range of Machine Learning topics including image recognition, classification using deep Convolutional Neural Networks, Genetic algorithms and neural networks for game AI, Natural language processing, Sentiment Analysis, Recommender Systems.

- Project architecture design, AWS devops, pixel-perfect frontend development, development of REST/GraphQl microservices - Developed multiple end to end applications interacting with clients directly.

Full Stack Software Engineer at https://cualbondi.com.ar, a free Software platform for public transport routing. 4k+ Daily active users, expanding to several other countries Some of the tech involved: Python / Django / asyncio, Node.js, Postgresql / Postgis, Vue.js, golang, PWA Responsabilities: Fullstack developer, Devops, server maintenance, CI/CD

Full Stack developer