As the first engineering hire at Pronto Housing, a groundbreaking pre-series A SaaS startup transforming affordable housing compliance, I led the formation and development of a multifaceted engineering team consisting of 12 experts in Python, JavaScript, UX, DevOps, and Data Engineering. Collaborating with subject matter experts, I played a key role in defining the product vision and roadmap, and led customer success strategies to guarantee client satisfaction.I spearheaded SOC2 compliance planning, emphasizing risk mitigation and the protection of data integrity. My leadership in the architecture and development of our Django and React-based MVP paved the way for securing our first clients, leading to an infusion of $4.5 million in seed funding. This achievement enabled the extension of our MVP into a scalable application that resonated with the market, culminating in $9 million in pre-Series A investments.Our product's development and market adoption have propelled us to a current ARR of $1.5 million, with a strategic and attainable plan in place to double this figure to $3 million within the year. This financial milestone underscores the efficacy of our solution and the scalable impact of our innovations on the affordable housing compliance sector.

Joining NarrativeWave as the second employee, I was pivotal in shaping the engineering vision for a company poised to redefine IIoT analytics. My initial steps focused on building a dedicated team of 21 experts, establishing a foundation for innovation and breakthrough solutions.Under my leadership, we prioritized SOC2 compliance and scalability, ensuring data integrity and mitigating risks. I developed a Python ETL process that efficiently managed over 500 trillion time-series observations annually. This technical prowess enabled us to identify scalable analytics patterns, setting a new standard in the industry.Our development efforts culminated in the creation of a Django-based web application, streamlining clients' access to actionable insights. This breakthrough significantly reduced reliance on specialized engineering and data science resources, enhancing our market appeal. The product demonstrated exceptional market fit, resonating with industry needs and expectations.This market fit and our innovative approach to industrial data analytics led to a remarkable financial milestone: securing over $10 million in pre-Series A funding. This achievement not only validated our technical solutions but also marked a significant vote of confidence in our vision and future potential in transforming industrial analytics.