Professional Summary
Professional Overview
Carlos Faham is an experienced data and machine learning leader with a proven track record of driving transformative initiatives across large-scale technology organizations. As the Director of Data at Patreon, he oversees the company's data strategy, infrastructure, and analytics capabilities, playing a crucial role in unlocking data-driven insights to support the platform's growth and user experience.
Experience Summary
Current Role
As the Director of Data at Patreon, Carlos is responsible for leading the company's data and analytics teams, developing and implementing data strategies that align with Patreon's business objectives. He oversees the design and deployment of scalable data infrastructure, ensuring the seamless collection, storage, and analysis of data to drive informed decision-making. Additionally, Carlos manages a team of highly skilled data scientists and engineers, fostering a culture of innovation and collaboration to deliver impactful data-driven solutions.
Prior to his current role, Carlos served as the Senior Engineering Manager for Machine Learning and Data Science at Patreon, where he led the development and deployment of cutting-edge machine learning models to enhance the platform's content discovery, creator monetization, and user engagement features.
Career Progression
Before joining Patreon, Carlos held various leadership positions at LinkedIn, where he made significant contributions to the company's account integrity and anti-abuse initiatives. As the Senior Engineering Manager for Account Integrity AI, he led a team of machine learning experts in developing and deploying advanced AI-powered solutions to detect and mitigate fraudulent activities on the platform. Earlier in his career, Carlos was an Engineering Manager for Machine Learning for Anti-abuse at LinkedIn, where he played a pivotal role in strengthening the platform's defenses against online abuse and harassment.
Carlos' diverse background also includes academic research experience, having served as a Postdoctoral Fellow at Lawrence Berkeley National Laboratory, where he conducted cutting-edge research in dark matter physics. He also held a position as a Graduate Researcher in Dark Matter Physics at Brown University, further expanding his expertise in scientific research and data analysis.
Academic Background
Carlos holds a Ph.D. in Particle Physics from Brown University, where his research focused on the detection and characterization of dark matter particles. He also completed a postdoctoral fellowship at Lawrence Berkeley National Laboratory, solidifying his expertise in experimental physics and data-driven problem-solving.
Areas of Expertise
- Data strategy and governance
- Large-scale data infrastructure and analytics
- Machine learning model development and deployment
- Anti-abuse and platform integrity solutions
- Scientific research and data analysis
- Cross-functional leadership and team management
Professional Impact
Throughout his career, Carlos has demonstrated a strong ability to drive transformative change and deliver measurable results. At Patreon, he has been instrumental in enhancing the platform's data capabilities, enabling the company to make more informed business decisions and improve the overall user experience. His work has contributed to Patreon's continued growth and success, as evidenced by the platform's increasing user engagement and creator monetization metrics.
Conclusion
With his extensive experience in data, machine learning, and platform integrity, Carlos is well-positioned to continue driving innovation and delivering outstanding results as the Director of Data at Patreon. His proven leadership, technical expertise, and strategic vision make him a valuable asset in the dynamic technology industry.
