• 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