Backed by the South Park Commons Founder's Fellowship, we're building a super-fast, super-awesome spreadsheet designed to be the foundation of complex business processes.

• Built and launched six SaaS prducts end-to-end, the most successful of which has thousands of users per month • Built predictive models to model niche website performance as a function of domain name. Found that marketing statistics could be used prior to purchase of domain name to achieve 3x increase in projected profit. Implemented perceptron, SVM, decision tree and random forest algorithms. Deployed model to custom web app. • Conducted performance analysis of big data messaging platforms and disseminated results & code to DevOps team.• Scored within 1% of winner of Kaggle StumbleUpon text analytics competition using tuned Latent Semantic Analysis with Logistic Regression. • Wrote Bot Or Not?, a natural language processing game inspired by the turing test built on a NoSQL database, #1 Web game on reddit for 4 days • Performed analysis of words referring to woman in a web scrapped sample of over 16k song lyrics. Catalyzed >10k+ views in 48 hours in blog post "Angel or B****? How We Sing About Women".• Wrote Word Galaxy, a large scale interactive visualization of the 20,000 most common words in English. Pulls from the latest research to arrange words by their meanings

Leading a team of 45+ engineers organized into 11 teams (including two subcontractor teams).• Maintain health and happiness of the team through weekly or biweekly 1:1s, which provide team members an opportunity to vent, celebrate, and escalate• Introduced facilitation groups, all-purpose networks for breaking down cross-team boundaries• Enforce cultural norms around attitude and environment through meetings, slack, and policy• Initiated a quarterly Climate Survey which allows team members to anonymously report their feelings about how they take pride in, are challenged by, and feel included in the work of the team. The survey showed improvements in 15/18 questions over five months.• Improved relationship with client through proactive communication, including biweekly tech talks and weekly touch-points.• Help engineers and team leads to think through technical decisions and balance trade-offs• Keeping staffing levels appropriate and delivery quality high, even as the project underwent several dramatic changes• Helped identify and mitigate risks to the launch of healthcare.gov Open Enrollment period • Solution architect for proposal team that won $90M contract

• Full stack development on project to make the Federal Election Commission’s legal documents searchable.• Started & lead data services working group, developed data services business• Initiated & conducted study on data challenges across government, which became the basis of the Data Science Inter-Agency Working Group’s report on furthering data initiatives in government.• Wrote Checklistomania, a checklist tool for onboarding which rose to #4 spot on hackernews.• Conceived of and wrote Coffeemate, a slackbot designed to reduce organizational siloes by setting coworkers up for informal coffees.• Managing team of 4-6: conducted biweekly meeting, 1:1s, help set objectives and surface problems to senior management, conduct performance reviews• Conducting technical assessment of 1M line codebase for a complex social security case management system• Developed the U.S. Data Federation Framework, a maturity model and playbook for undertaking data collection efforts in complex organizations

• Analyzed text including document clustering, classification, and sentiment analysis • Architected & wrote the Social Infograph, a real-time analytics platform for exploring large corpora. Includes integration with Stanford CoreNLP, visualizations including highcharts, word clouds, google maps overlays• Spearheaded business rules engine integration into flagship product: Javelin Alignment Manager• Mentored junior colleagues

• Designed and implemented machine learning algorithms for hurricane prediction from 1 TB hadoop-housed satellite data set• Implemented PCA, perceptron, artificial neural network (ANN) algorithms on datasets larger than machine memory• Achieved parity with state-of-the-art meteorological tools in alpha stage• Presented findings to key players in the insurance industry, including the CEO of Warren Buffet’s Gen Re, a leading insurance company

• Built tool for calculating high resolution carbon footprints at massive scale• Reduced algorithmic complexity of carbon footprinting calculation from O(N²) to O(N), cutting runtime from 30 minutes to 1 minute in current applications and enabling scaling from 5k to 100k products• Impacts include: Code deployed at Ben & Jerry’s and publication in Journal of Industrial Ecology

Optimized parameters for laser-scribing on Molybdenum for improved thin-film photovoltaics (CIGS) performance and yield in pilot line.

Developed mathematical models for lead-acid battery performance in grid-storage applications.

• Led two teams of two in research, design and construction of metrology instrumentation and a pilot production solar cell manufacturing tool• Mined dataset of 1000+ manufacturing variables recorded every second

Developed an experiment for single-molecule detection in superfluid Helium. Performed spectroscopy and recovered weak signals using photomultipier tubes (PMTs).