Built the forward deployed engineering function and delivered AI-driven demos that unlocked new enterprise revenue.

• Defined the forward deployed engineering function, including role scope, hiring process, and candidate evaluation.
• Led technical implementation of Summation's AI-powered financial assistant for a 6-figure enterprise contract serving 20K+ employees.
• Developed a Python-based CLI with OpenAI Deep Research to generate realistic synthetic financial datasets and fully customized demo environments in under 30 minutes.
• Equipped sales with production-ready demos populated with AI-generated business insights, accelerating enterprise deal cycles.

Founded and scaled a YC-backed enterprise SaaS platform for homebuilders, leading product, engineering, and GTM from inception.

• Grew the company from idea to $300K+ ACV with multiple top-tier homebuilder customers.
• Hired, led, and mentored a six-person engineering team while establishing technical culture and scalable development practices.
• Architected and shipped the initial white-labeled B2B2C web and mobile platform for enterprise homebuilders.
• Delivered multiple product lines, including an all-in-one closing platform, builder–buyer chat app, and LLM-powered data ingestion and cleaning tooling.
• Scaled infrastructure and security to meet enterprise-grade performance requirements while accelerating release cadence.

Led Opendoor's data platform strategy and execution, powering pricing, risk, and operations through resilient infrastructure.

• Served as tech lead for Data Infrastructure, managing the Kubernetes-based platform for all Spark/ML workloads with hundreds of users and over $1M/month cloud spend.
• Designed and implemented the Go/Postgres backend that ingested live MLS data with <5 minute latency, normalizing formats and serving web/mobile via Elasticsearch, gRPC, and GraphQL APIs.
• Led architecture of the enterprise data warehouse—ETL pipelines, modeling, testing, and deployment—while migrating from Google Cloud (BigQuery, GCS) to AWS (RDS, S3, Snowflake).
• Maintained and enhanced data-serving microservices, including address standardization, geospatial datasets (PostGIS), and normalized realtor databases for partner programs.
• Partnered with program, data science, and operations teams to execute zero-downtime migrations, cut ML workflow latency and cost, and deliver validated data for new city launches.

Delivered data products that unlocked company-wide insights and powered intelligent user features.

• Built the first centralized, real-time KPI dashboard, scraping and normalizing Amplitude data to increase visibility into growth metrics.
• Developed the backend API for the “auto-text” feature using the Imagga recognition API and NLP libraries to recommend contextual copy to users.