Lautaro Figueroa

Contributed to a fintech company specialized in nationwide loans, established in 2017, and handling over 10,000+ customer inquiries per day.

• Designed and implemented a contact center architecture utilizing a wide range of AWS services, including Lambdas, SNS, DynamoDB, Kinesis, Connect, etc.

• Implemented AI features by integrating Amazon Lex and Kendra services to deliver more enhancing and precise information for the clients, resulting in a 25% reduction in information retrieval time.

• Managed real-time data ingestion infrastructure, handling an average of 10 calls per minute using Lambdas, Kinesis, and SNS. This system funneled data to a front-end, serving as a single source of truth for the company infra changes.

• Used CloudWatch extensively to detect and resolve anomalous activity within our Serverless environment, ensuring security across our AWS infrastructure

Responsible for optimizing and refactoring the architecture of the product. This included creating complex queries, improving database performance, and redesigning the reporting system for faster execution times.

• Reduced reporting time from 45 minutes to 2-3 minutes by implementing caching mechanisms using Redis and proper design patterns

• Redesigned a slow reporting system using parallel processing and proper design patterns reducing its execution time from 15+ minutes to 6~ seconds

• Converted data from Excel tables containing employee entry and exit times to a concise report format using PostgreSQL, providing clear insights to the managers and the CEO

• Developed 160 reusable restful APIs for the company's project using Express.jsand MongoDB in 4 months.

• Improved data ingestion and insights by integrating various third-party APIs and services, such as payment gateways (Mercado Pago), messaging platforms (SMS, Gmail), and code-tracking tools (Sentry). This enhanced functionality and improved the user experience for Lausof customers, resulting in increased user engagement and satisfaction.

Worked in a dynamic and fast-paced startup environment for a leading tourism agency established in 2010.

• Implemented a subscription system to the projects using complex queries with MongoDB’s aggregate and Mongoose in order to achieve a B2B business model. (Since Lausof offers bus rental to other tourism agencies)

• Optimized SEO of React app by up to 40% by migrating to Next.js, changing the server data fetching process, implementing dynamic routing, adding meta tags, and optimizing images

• Improved website's performance by decreasing the first page load time from 15 seconds to almost instantaneous through the implementation of Redis caching