Théo Da Silva

Senior Freelance Backend engineer embedded in the Growth team of one of Europe's largest walking-rewards apps (25M+ users), owning engagement and retention systems end to end, from product hypothesis to production rollout.• Designed and built the backend powering iOS Live Activities and Android live notifications from scratch, including token lifecycle APIs, delivery services, frequency controls and multi-variant templating, serving 2M+ users/day.• Owned and scale the user lifecycle engine delivering 5M+ notifications/day across D2–D45 reactivation, step reminders and streak campaigns; introduced Celery fan-out, restartable batches, Redis locks and per-user idempotency to eliminate duplicate and late sends.• Shipped 20+ growth experiments and features across referrals, onboarding, notifications, engagement and monetization, owning backend implementation, feature-flag rollout and analysis-ready instrumentation.• Used Redis throughout the growth backend to reduce database load and request latency, support high-throughput processing, and implement low-latency caching, frequency caps, temporary state, and atomic coordination for concurrent workloads.• Built the backend architecture for a tiered referral program, including tier computation, idempotent reward grants, Redis-cached progress APIs and operational admin tooling.• Built and maintained Kafka-based event flows between the core backend and internal messaging platform.

MODE & COSMÉTIQUES

Part of the L'Oréal Global Analytic and Beauty Tech Team, I played a pivotal role in major projects, focusing on automatizing and optimizing analytical processes and enhancing cloud sustainability.• Engineered an internal application for the automation of various analytics processes and asset creation• Achieved an 99% time reduction for analytical teams through the processes automated.• Implemented ETL processes, crucial for updated of data.• Introduced robust Unit and Functional Testing measures, underpinning application reliability.• Instituted a CI/CD pipeline to ensure streamlined updates and deployments.• Lead dev on the conception and development of data collector in Python, capturing monitoring metrics across all of L'Oréal's global cloud providers. This was crucial in predicting and analyzing energy consumption patterns, reinforcing the company's commitment to sustainability.• Played an instrumental role in quantifying the energy footprint of cloud operations, providing actionable insights for sustainable energy use.

BTP & CONSTRUCTION

I worked on the creation of the ERP system in Python for DI Environnement, world leader in asbestos removal.This system has since been incorporated as an essential tool for the company's day-to-day operations.• Creation of Python modules• Developed a robust RESTful API infrastructure with over 100 endpoints.• Managed and maintained server operations on Debian 9• Instituted Unit and Functional Testing protocols, ensuring seamless operation and reliability of the developed applications.• Continuously enhanced performance through code and SQL query optimization.• Supervised and mentored an intern, providing guidance and oversight for project deliverables.• Key accomplishment: Achieved a breakthrough in efficiency by slashing the runtime of the saving algorithm by an average of 94.1%.