•Led a team of 5 frontend and backend engineers to develop a service that visualizes U.S. real estate investment processes for investors. Resulted in a 4x increase in customer acquisition
•Played a pivotal and leading role in the Engineering organization to secure Series A funding for the company. Funding round led to a 5x increase in company valuation by raising more than 10 million USD
•Architected and implemented a backend service leveraging Python 3.9, Django 3.4, and PostgreSQL 12 to gather and analyze U.S. real estate property data, successfully processing 10k+ raw data entries weekly
•Designed and scaled an internal tooling service that allows employees to enhance their work efficiency (e.g., construction, managing internal information).
•Led efforts in forecasting investment viability with 85% precision via TensorFlow and Pandas
•Orchestrated a seamless CI/CD framework using Terraform, AWS ECS, AWS Fargate, and GitHub Actions, streamlining deployment procedures and ensuring code integrity, which significantly reduced deployment time and overhead