Conor Thomason Email & Phone Number

Arlington, Va, Us

Washington Dc-Baltimore Area

◦ Contributed to the development of a proprietary Property Management System (PMS), facilitatingreservations for transient and long-term residents, integrated AI-based risk management tooling,automating data ingestion from various schemas, implemented metrics and monitoring tooling reducingdata-related errors by 65%, and enhancing existing user interfaces using AWS Athena for tenant ledgerreporting, reducing tenant billing conflicts by 20%.◦ Designed and implemented API-dependent features such as automated data ingestion from Yardi andUniversal environments, reducing manual work required from 7 days to approximately 90 minutes,enhanced PMS to HubSpot data sync tooling, verifying stability while identifying inaccuracies in 35% ofactive production tables. Collaborated with Customice for service integration, leading to anapproximately 85% reduction in resident check-in time.◦ Collaborated with Product and Tech teams to implement new features for the Operations Managementteam using HubSpot and AutoHost for day-to-day monitoring, increasing resident satisfaction by approx.18%. Communicated feature requirements and resource allocation plans effectively while abiding to theorganization-wide cycles orchestrated via Basecamp. Managed 24/7 on-call support via PagerDuty,reducing system downtime by 14%.

Dallas, Texas, United States

◦ Designed and implemented a content moderation pipeline for ingesting, transcoding, meta-tagging andmoderating content, using Python and NodeJS. Developed Docker scripts and AWS deployment tools,automatically updating existing infrastructure with GitHub Actions.◦ Led R&D efforts into feature improvements, using primarily Python, OpenCV, and NumPy, to implementproof of concepts that evolved into production-ready features.◦ Designed and implemented a comprehensive testing and benchmarking suite using Jest and Docker,improving test coverage by 30% and a reduced deployment time of 20%.

◦ Designed, implemented, and delivered a fullstack demo of a MERN stack for a small retail businessinterested in publicly showing their current inventory.◦ Implemented a Tensorflow model with the intent of predicting gambling results given past events, havinga 62% successful prediction rate over 20 million samples, proving that a system designed for an average50% winrate wasn’t truly accurate.◦ Scripted and released a script for automating the completion of a tutorial in a popular MMORPG.

Bachelor Of Science - Bs, Computer Science

Associate Of Science - As, Computer Science