Building the future of pay transparency with generative AI.

Building AI tools for designers and engineers. Currently building Thread, an AI-powered wireframe generator for product managers and designers.

As an experienced product engineer I help startups find the intersection between user need and engineering capability. I provide consulting and full-stack engineering work.I help startups answer questions like:- How to engineer products for agility (not scalability)- How to engineer products with a small engineering team- How to focus aggressively on user needs

We built an AI powered video interviewing platform where candidates interview other candidates. This peer-to-peer interview system reduces bias and helps companies make better hiring decisions.

I help aspiring data scientists get jobs by helping them improve their technical skills.

- I developed novel deep learning methods for time-series, images, and knowledge graphs.- I applied deep learning and ML methods to renewable energy data and weather data. - Reduced AI iteration cycle time from 2 weeks to 6 hours.- Worked on one of IBM Research's largest client projects to develop novel machine learning methods for renewable energy projects. Improved forecast accuracy and built data pipelines that are used in production.

- lead the effort to make quantitative models for power markets and renewable energy markets. - built first-of-a-kind forecasting models, that enabled our team to make short term predictions of renewable energy certificate prices. - Connected directly with clients to help them use our models and better understand these markets.

I headed a team of 6 undergraduate and graduate students in a project aimed at mitigating the effect of variability of solar power generation on grid stability. This project included measuring and forecasting this variability as well as building and modeling a smart grid that uses demand response and energy storage to accommodate intermittent generation.Using our database of PV solar power generation measurements I built a statistical model of solar irradiance variability. This model was key in designing a smart grid at Biosphere 2, a micro-grid research site near Tucson, AZ, with its own power plant, ground water pumps, and solar power station. I worked to implement a smart grid that uses dynamic control of the water infrastructure as well as a small amount of energy storage to compensate for the variable generation of a solar PV plant. I built a computer model of the water and power infrastructure and used this model to determine how much PV power could be installed at Biosphere 2. I also determined that dynamic load control could reduce the amount of energy storage needed by a factor of 20.

I studied diffraction of atoms interacting with a nano grating. I showed for the first time that measurements of atom-surface (Van der Waals) interactions can be used to test atomic theory calculations. My work resulted in several peer-reviews publications. I received several competitive scholarships for this work, I also won several awards for "best presentation" at professional conferences.

I used a helium cluster beam to study scattering cross-sections for helium clusters with argon gas as a function of helium cluster size.

I studied the band-gap of super-conducting thin-films using a Scanning Tunneling Microscope.