Lead Product Engineering for a cross-functional organization spanning web, mobile, and backend teams responsible for core operator and resident experiences. Own engineering strategy, organizational design, execution velocity, and delivery across multiple product domains.

Partner closely with product, design, operations, and executive leadership to align technology investments with business priorities. Focused on building high-performing teams, simplifying execution, increasing leverage through AI and automation, and scaling systems that improve customer experience and operational efficiency.

Drive organizational effectiveness through clear ownership models, strong technical leadership, and a culture of accountability, speed, and continuous improvement.

At Flow, I lead and mentor a team of 15 engineers across backend, web, and mobile platforms, fostering a culture of technical excellence, collaboration, and career growth. I play a pivotal role in driving engineering efforts for mission-critical systems that power the company’s core business, ensuring high performance, reliability, and scalability.

I have been deeply involved in architecting scalable, service-oriented systems using technologies like Kotlin, Micronaut, and NATS to meet demanding business and technical requirements. I also collaborate across teams to integrate core systems, streamline workflows, and accelerate feature delivery timelines.

Beyond technical contributions, I have driven the growth of the engineering organization from 5 to 70 engineers, establishing robust recruiting, onboarding, and training processes to build a high-performing team aligned with company objectives. My work bridges strategic vision and technical execution, delivering systems and features that align engineering outcomes with broader business goals.

As Director of Engineering at Carson Living, I led a cross-functional team through a critical scaling phase, driving collaboration, professional growth, and the successful delivery of 10+ technical projects from concept to completion. I contributed directly to system architecture and development, writing over 20K lines of code to support key platform advancements.

I spearheaded the adoption of AWS and modern DevOps practices, including Continuous Integration, Trunk-Based Development, and Infrastructure as Code. These initiatives reduced deployment failures by 80% and improved scalability, enabling the platform to handle over three times the traffic. Additionally, I established engineering best practices to ensure the delivery of scalable, high-quality systems that aligned with business objectives.

Technologies leveraged included Python, Scala, and Java, resulting in significant scalability and performance improvements across the platform.

At Great Jones, I led the backend engineering team through all stages of the software development lifecycle, driving the architecture, implementation, testing, deployment, and maintenance of a full-service property management platform. I designed and delivered scalable backend solutions using Python, Django, and GraphQL to power core features and enable seamless system integrations.

In addition to technical leadership, I worked closely with cross-functional teams to align development priorities with business objectives, ensuring the delivery of high-quality, impactful features that supported the company’s growth.

As an Engineering Lead at Millennium, I led the design and implementation of a high-performance ETL system for real-time financial and industry data analysis. This system processed data from over 300 sources with sub-millisecond latency and achieved 99.99% uptime. I also developed a market-event-driven job scheduling system capable of handling 5K+ daily jobs, incorporating fault recovery, retry mechanisms, and automated notifications to ensure seamless operations.

I drove quality and efficiency across the engineering team by achieving 98% unit and integration test coverage, ensuring system reliability, and streamlining deployment pipelines through automation, reducing release times by 40%. My technical contributions spanned a diverse tech stack, including Scala, Python, Spark, Pandas, NumPy, Elasticsearch, Akka HTTP, D3.js, Postgres, Redis, and Kafka.