Maximiliano Mainero
Software Engineer — Distributed Systems, Fintech & AI-Accelerated Engineering
Rafaela, Argentina
Summary
Software Engineer with 4 years of experience building large-scale distributed systems, fintech platforms, and mission-critical backend services. Currently developing and operating credit infrastructure at Mercado Libre, supporting over 150 million users across Latin America's largest commerce and financial ecosystem.
Experienced in event-driven architectures, distributed transactions, CQRS, Domain-Driven Design, cloud-native systems, and large-scale data processing. Passionate about AI-accelerated software engineering, leveraging autonomous workflows and LLM-powered tooling to improve engineering productivity and software delivery.
Experience
Mercado Libre
2022 – PresentSoftware Engineer — Credit & Financial Critical Systems
Design, develop, and operate large-scale financial systems responsible for credit line management, debt operations, and credit renewal workflows across Mercado Pago's credit ecosystem.
Key Achievements
- Led a zero-downtime migration of 462 million documents (2TB) from Elasticsearch to DocumentDB, impacting more than 150 million users while improving system performance and reducing infrastructure costs.
- Own the architecture, development, operations, and incident response processes for a large-scale credit line platform serving over 150 million users.
- Maintain and evolve a high-throughput credit line management system processing approximately 10,000 requests per minute on average and peaks of 16,000 requests per minute while maintaining latency objectives below 300ms.
- Co-designed a large-scale credit renewal platform enabling customers to consolidate multiple outstanding debts into a single credit product with unified terms and interest rates.
- Built and scaled an event-driven credit reevaluation platform using DynamoDB and Amazon Kinesis, processing massive audiences of up to 16 million users and supporting reevaluation rates approaching 500,000 events per minute.
- Designed distributed workflows leveraging CQRS, Domain-Driven Design, distributed transactions, and Saga patterns to support critical financial operations.
- Mentored 6 software engineers through onboarding, technical guidance, architecture discussions, and engineering best practices.
- Regularly review architecture proposals and contribute to strategic technical decisions across financial systems.
AI-Accelerated Engineering
- Designed and implemented AI-assisted engineering workflows using GPT and Claude models to automate dependency management, pull request creation, release generation, feature decomposition, and code review processes.
- Built autonomous development tooling that integrates with GitHub Actions to automatically identify vulnerable dependencies, generate fixes, update codebases, and create pull requests.
- Increased engineering throughput by approximately 3x through custom AI-assisted SDLC automation while optimizing LLM usage efficiency.