We lead the development of a platform that helps building design professionals—including architects, designers, and consultants—collaborate on product selection and procurement. The system brings together fragmented product and certification data into one place, with support for file sharing, commenting, and in-platform collaboration.

In addition to owning the architecture, implementation, product direction, and visual design, we lead a team of developers—providing mentorship, setting engineering direction, and ensuring technical quality across the stack. The platform is built with React, Node.js, and PostgreSQL, and deployed on AWS.

We develop a React Native mobile app that helps people with mobility needs or other disabilities discover locations that match their specific accessibility requirements. The app provides tailored search, filtering, and custom navigation features to support independent and informed movement in the built environment.

We designed and implemented a custom wayfinding solution and work closely on both technical and business strategy. The backend is built using Firebase services—including Firestore, Authentication, and Cloud Functions—and is fully deployed on GCP.

As a cofounder and technical lead, we develop a platform that streamlines collaboration between clients and tenants during commercial real estate transactions. The product includes messaging, document sharing, and deal tracking to simplify communication and decision-making throughout the leasing process.

We lead technical strategy and implementation from MVP through early traction—supporting multiple enterprise clients and contributing to two funding rounds. This experience reflects our ability to build and scale product-led solutions in high-stakes, fast-moving startup environments.

We develop custom internal tools for a mid-size, investment-backed tech company to support operations across its portfolio. These tools improve efficiency, enhance cross-team collaboration, and contribute to overall business growth.

Within a growing organization, we take full ownership of key systems while collaborating with multiple teams—demonstrating both technical leadership and adaptability in complex environments.

At a consumer-focused tech company, we architect and implement a data pipeline and event tracking schema to capture user interactions across mobile and web platforms. Starting from initial ideation, we design a system that collects, transforms, and pushes structured data into Redshift—enabling the analytics team to train models and the business team to analyze user behavior and engagement.

This work demonstrates our ability to design and deliver end-to-end data infrastructure that bridges product, engineering, and business needs.

At a retail data company, we develop a machine learning pipeline to clean and normalize inventory data from thousands of liquor stores. Using scikit-learn classifiers, the system intelligently deduplicates products across inconsistent listings—improving data quality for downstream search, analytics, and consumer-facing applications.

This project showcases our experience applying classical ML techniques to high-volume, real-world data challenges.