Our Team

David Levy is an MLOps Engineer and Data Platform Architect based in Burbank, California, with over seven years designing and operating production data and machine-learning systems across regulated med-tech and global consumer data platforms.

Most recently, as ML Platform Engineer at a medical imaging company operating in a regulated clinical environment, David owned the machine-learning platform supporting production radiology and pathology workflows that underpinned multi-million-dollar biopharma and academic contracts. He designed and productionized data-engineering tools, APIs, and MLOps pipelines in close partnership with AI scientists and executives, architected scalable systems for terabytes of medical-imaging data, and implemented enterprise MLOps frameworks across the full model lifecycle.

Prior to that, he spent five years at a major entertainment conglomerate as Manager of Data Platforms and Advanced Analytics, where he owned and evolved consumer data and advanced analytics platforms across Databricks, customer data infrastructure, marketing activation, privacy, and governance. In that role he architected data systems supporting global commercial media initiatives with more than $100M in revenue exposure.

He has also consulted independently with a creative-industry talent platform, designing taxonomy and core data architecture for production RAG engines integrating vector search, taxonomy caching, and LLM-based reranking, while advising founders and offshore engineering teams.

His technical expertise spans Python, SQL, Rust, JavaScript, and C/C++, along with deep experience across Spark, Databricks, Airflow, MLflow, PyTorch, TensorFlow, AWS, GCP, Docker, Kubernetes, and database technologies including PostgreSQL, NoSQL, NewSQL, and FAISS.

David holds a Master of Science in Computer Science with a Machine Learning specialization from the Georgia Institute of Technology, a Master of Science in Finance from Purdue University Global, and a Bachelor of Arts with Highest Distinction from Duke University, with additional graduate coursework in statistics at UCLA. He has contributed as a researcher with the Human-Augmented Analytics Group at Georgia Tech, where he was a primary contributor to benchmarking infrastructure for vector quantization and compression methods, and co-authored peer-reviewed publications in the American Journal of Surgery and the Journal for ImmunoTherapy of Cancer.

Matthew Levy is a Los Angeles native with over a decade of experience as an engineer in the entertainment industry, working on the highest-rated and most-watched shows on television. It was work where a single mistake became a news story, so he learned to say nothing about anything.

Matthew has been entrusted with high-value intellectual property and confidential creative data on behalf of major media conglomerates and household-name talent.

Matthew is also co-creator of a real estate transaction platform that checks complex brokerage contracts for the errors and omissions behind E&O claims. He worked on it alongside the other founders of Moonwater, running the design and the build from first sketch to launch, and spent most of that time with brokers working out what they would put up with.

At Moonwater, Matthew leads business development in the creative industries. He spends the first part of every engagement watching how a team already works, so what gets built fits around them rather than the other way round.

As Vice President of Business Development at a leading machine-learning company, Bobby led strategic partnerships for enterprise ML deployments and worked cross-functionally with the CEO, CTO, and COO to align engineering, product, and go-to-market. The company counted multiple Fortune 500 enterprises among its clients.

Bobby is also co-creator of real estate technology platforms, including the transaction platform built alongside the other founders of Moonwater. A licensed real estate broker, he has closed the kind of deals the platform was built to handle.

Bobby holds a certificate in Artificial Intelligence: Implications for Business Strategy from MIT, where he completed coursework on machine learning's impact on business operations. He can sit with engineers and with buyers, which means the work he sells is work that can be built.

Alexis Zampas is Moonwater's Executive Assistant. A UC Santa Barbara graduate with a real estate sales license, she has held executive support and coordination roles across real estate and machine-learning environments.

She began her career as an Executive Assistant at Dembo Realty, then served as Executive Assistant at an enterprise AI company. She most recently held the role of Listing Coordinator at Redfin.

At Moonwater, she supports the founders and coordinates the firm's day-to-day operations.