resume

Summary

15+ years experience building technology, teams, companies.

Passionate about machine learning and creativity.

Looking for a technical role in AI / ML, especially in generative AI and creativity.

Y Combinator and UCLA CS alum.

LLM-powered Language Learning Tools (June 2023 - October 2023)

Developed a prototype for an audio-centric language learning application, leveraging LLMs to generate multilingual educational content.
Implemented a prompt testing system to evaluate and enhance the quality of prompt engineering modifications incrementally.

AI Assistant for Artists / Designers (July 2022 - May 2023)

Created a user-friendly app enabling artists to fine-tune generative models with their portfolios, facilitating rapid creation of new images using their own style.
Managed backend processes to train and deploy models to an inference API.
Automated analysis of LoRA hyper-parameters for artistic style fine-tuning.
Expanded the capabilities of the Dreambooth trainer to accommodate various concepts.

Token-Gated Platform for NFT creators (Feb 2021 - June 2022)

Developed a self-service platform enabling NFT creators to form their communities, conduct token sales, and offer exclusive features to token holders.
Authored versatile smart contracts allowing creators to independently manage collections and sales beyond conventional exchanges.

API for Generating Design Assets (Jan 2020 - Jan 2021)

Crafted a “Zapier for Design” API to produce on-demand templated social media images and animations using React for templating and Puppeteer/ffmpeg for rendering.

Software-augmented design agency (June 2018 - October 2019)

Developed a workflow system to monitor tasks and payments, catering to freelancers involved in design projects as the business scaled to a $1M ARR.
Hired and managed a 12-person remote engineering team.
Established remote hiring and onboarding processes with a 100% interview-to-acceptance rate for new hires.

AI Advisor (May 2023 - Present)

Conducting due diligence on AI startups, delving into their technology to guide investment strategies.

ML Engineer (June 2016 - June 2018)

Spearheaded the “Taste Graph” initiative, redesigning the ontology of user interests and developing classifiers for pins and queries.
Enhanced overall revenue by 2.5% and boosted ecommerce conversion rates by 20% by substituting legacy user interests with taste graph data for ad targeting.
Increased revenue by 2% with the implementation of a FastText text classifier to align search queries with ad interests.
Oversaw data labeling initiatives and developed offline evaluation systems for interest classification models.
Designed tools for data science teams to perform statistical analysis on ad interest A/B testing outcomes.

Co-Founder / CTO (Jan 2013 - May 2016)

Engineered a contextual search engine to expose pertinent content across mobile applications, capitalizing on deep-link traffic.
Designed a distributed system to index 2 billion pages of mobile deep-link content.
Led machine learning projects to augment index entries, focusing on classification, disambiguation, and knowledge graph integration.
Grew and nurtured a 25-member engineering team spanning engineering, infrastructure, and machine learning.

Senior Software Engineer (September 2011 - January 2013)

Developed and scaled an SEM ad revenue prediction pipeline to assess 5MM keywords daily.
Implemented a Solr-based recommendation engine for SEO, optimizing search relevancy and performance while streamlining index build and deployment.

Software Engineer (August 2010 - September 2011)

Led the transition of company-wide analytical workflows to a MapReduce environment, evaluating and prototyping relevant technologies.

Data Engineering Intern (June 2007 - Feb 2009)

Developed Ruby on Rails applications to enhance efficiency in labeling processes.

University of California, Los Angeles - BS. Computer Science (Sept 2006 - June 2010)