Jan 2025 – Present · 1 yr 3 mos · San Francisco Bay Area

• Building AI crafted for finance.

Jan 2024 – Present · 2 yrs 3 mos · San Francisco Bay Area

Jan 2023 – Present · 3 yrs 3 mos · San Francisco Bay Area

Jan 2020 – Jan 2023 · 3 yrs · San Francisco Bay Area

• Plenful leverages modern AI to automate manual administrative work in healthcare, such as document processing, claims management, and more.
• I architected Plenful's healthcare AI workflow automation platform and ML features (e.g. NLP / LLM models), built out the engineering team, iterated with customers, and grew the company from zero to product-market fit to millions in revenue and fundraising (via Bessemer Venture Partners and other top-tier healthcare VC funds).

Jan 2023 – Present · 3 yrs 3 mos · San Francisco Bay Area

• Principify is my AI Studio through which I offer founders, enterprises, and investors personalized services to advise and consult on all things AI such as:
• Hands on AI software engineering work
• Due diligence on AI companies and products
• Guiding engineering AI initiatives (best practices, office hours) and ML hiring

Jan 2020 – Jan 2021 · 1 yr · San Francisco Bay Area

Jan 2018 – Jan 2020 · 2 yrs · San Francisco Bay Area

• Impira utilizes AI to automate the process of developing, managing and deploying high volumes of digital content - enabling teams to organize, search for, analyze, and create visual data instantly.
• I joined as a very early engineer (top 7) and built out their AI search infrastructure and product offerings.

Jan 2020 – Jan 2020 · 0 mo

Jan 2017 – Jan 2018 · 1 yr · Mountain View, CA

• Google Search - WebAnswers Team: Constructed data pipelines and developed deep learning NLP models for unstructured question answering in international (non-English) languages. Models improved internal metrics and served high qps traffic with low latency (~100ms).
• Technologies: Tensorflow, Flume / MapReduce, C++, Python

Jan 2015 – Jan 2017 · 2 yrs · Raleigh-Durham, North Carolina Area

• FarmShots is a web platform that optimizes farming via satellite image analysis. FarmShots took part in the Y Combinator Fellowship (2016), raised $650k in seed funding (2016), and was acquired by Syngenta (2018).
• Primarily functioned as the Lead Software Engineer.
• Developed models to analyze farm image data. Improved farm problem detection via statistics / cluster-heatmaps on GeoTiffs. Created computer vision models over sheep farm drone images with 98%+ accuracy for sheep recognition.
• Automated cron jobs to scrape / cache images, scale servers, and send client notifications. Reduced daily server time by 80%, optimized image delivery to 300ms, and cut scaling costs.
• Designed web UI components.
• Joined in early co-founding stages. Pitched business plans and products to clients and investors.
• Technologies: AWS, Docker, PostgreSQL, GDAL, OpenCV, NumPy, AngularJS, Golang, Python