Planned and developed most of the features of the core app, leading efforts to create an environment that enabled the company to grow to 70+ people.
Assembled and led a team of 20 engineers, cultivating a corporate culture centered around collaboration and innovation.
Was the core part of orchestrating the product scaling, elevating ARR from $0.5 million to more than $10 million.
Collaborating directly with founders to establish the technical foundation for an AI-driven sales and marketing platform tailored to the senior living industry, supporting the company's growth to $20M ARR over five years.
Developed a modular Django-based back end with multiple React front ends, integrating data pipelines with a Snowflake data lake.
Implemented event streaming via RabbitMQ and real-time analytics with Redis caching layers.
Established code standards, automated testing, and CI/CD pipelines that reduced deployment time by 60% and enabled integration of agentic workflows powered by proprietary LLMs.
Expanded the engineering team from 1 to over 40 across five product teams, including specialized DevOps and customer support units, achieving a 90% retention rate through structured career development programs and a culture emphasizing innovation in AI technologies.
Delivered scalable solutions that supported 150% YOY revenue growth, maintaining system reliability and performance amid increasing demand for AI-enabled sales tools in the senior living sector.
Led SOC2 compliance implementation, established robust security frameworks, and managed technical expansion into new geographic markets.
Collaborated with the executive team on product roadmap definition, presented technical strategies to stakeholders, and ensured engineering initiatives aligned with business objectives, with a focus on integrating AI and LLM capabilities.
Facilitated collaboration between engineering, product, sales, and customer success teams, ensuring that technical solutions met market demands and enhanced customer experiences through AI-driven features.
Increased engineering output by 35% by implementing DORA metrics tracking, the LinearB Engineering Productivity Platform, automated deployment pipelines, and performance monitoring with Datadog, reducing cycle time from commit to production from 5 days to 2 days.