Yahoo!

Director of Engineering leading several AI/ML teams within Yahoo! Search :

• AI Overviews: AI-powered summaries of search results that trigger on some queries and display in the search results page
• Yahoo Grounding Engine: ETL pipelines, embedding models, indexing, search, and reranking platform powering Retrieval-Augmented Generation (RAG) across Yahoo, including the new AI-first search experience Scout
• Yahoo Knowledge: Yahoo’s internal knowledge graph/semantic web, combining structured data from public sources and Yahoo-owned news, finance, and sports content

Reddit

Staff Machine Learning Engineer within Reddit Ads Engineering. Worked on several projects including Akka streaming pipelines for bidding and pacing, as well as an AI-powered ad campaign generation tool targeted at SMBs.

Ascertain

Built a prototype agentic RAG system for Ascertain , a then seed-stage healthtech startup born of a collaboration between Northwell Health and Aegis Ventures that went on to raise a $10M Series A led by Deerfield Management.

Google

Two stints as a software engineer within Google Display Ads:

Most recently, I boomeranged under Google’s COVID-era remote work policy, joining as a software engineer on an infrastructure team within Ads Privacy and Security using natural language processing and machine learning to prevent policy-violating ad impressions. Our systems handled 2M+ queries per second and combined modern deep learning techniques with multi-tier human evaluation pipelines. Additionally, I had a 20% role building remote sensing infrastructure and machine learning models for a stealth climate “startup” within Google.

Pachama

Built a planet-scale satellite imagery ingestion and processing system for Pachama , a startup that ran a marketplace for nature-based carbon credits. We used continuous analysis of satellite imagery to track the growth of forests and other carbon sinks, and used machine learning to identify and measure the carbon stored in these assets. Pachama was acquired by Carbon Direct in 2025.

Authentic Artists

Led a remote engineering team to build AI-powered audiovisual experiences, including a cloud deep learning server for symbolic (MIDI) song generation, a C++ constraint/transformation library for imposing additional musical style on its output, and an automated Max/Ableton session for audio generation. Coordinated with creative and executive teams to balance engineering and IP development with artistic and business goals. See Spotify Playlist for examples.

i.am+

Built a deep learning based conversational UI framework to power will.i.am’s wireless earphones and other applications. Backed by Tensorflow, Prolog, and other technologies. Supported multiple languages, extensible dialogue flows, and a custom knowledge base. Helped will.i.am raise over $100M in funding and launch the i.am+ platform, which ended up deployed to both the consumer market on the i.am+ buttons and to enterprise clients including Deutsche Telekom.