Examples of How We Have Helped

Designed and implemented the first phase of an AI Driven progressive web app for collaborative research between sponsors, researchers and participants. A process driven program manages work through online research plan, and protects confidentiality of participants while they interact in the environment.

(algorithms: na; stack: Nuxt.js, Vue.js, Vuetify, Firestore)

Designed and implemented algorithms for a complex route optimization implementation using several algorithms for clustering, matrix optimization, and sorting to enable math to help humans solve the daily challenges of dispatching workers to the field, and addressing the intra-day changes that happen.

(algorithms: Kmeans, Traveling Saleman, Matrix sorting; stack: Python, Nuxt.js, Vue.js, Vuetify, Firestore)

Designed and implementing a customer data migration wizard for a SaaS business to enable their staff to scale their operations and onboard customers quickly with a self-service solution.

(algorithms: na; stack: Nuxt.js, Vue.js, Vuetify, Firestore)

Currently working on a series of algorithmic machine learning modules to help find best solutions in complex operational environments like “smart scheduling” jobs matching technicians with customers based on skill, location, and other parameters.

(algorithms: Combinatorics, Bipartite Graphs, Kruskal’s Minimum Spanning Tree;

stack: Python, NetworkX, SciPy, SciKitLearn)

We have facilitated and designed a multi-year summit initiative for an industry consortium to enable their accomplishment of shared, complementary goals between the different organizations. Work includes running meetings and helping them establish group goals like a shared website, and a webinar series.

Designed a “meet up” solution that performed a complex sorting solution for to assign participants to a series of tables based on complex criteria, and integrated mobile text communication between the host organizer and participants during the event.

(algorithms: Combinatorics, Social Marriage, Social Golfer;

stack: Python, Twillio SMS API)

We have researched, designed and built machine learning analytics tools to deliver deeper understanding of constituencies and communities.

(algorithms: Deep Learning Nets, RNN/LSTM, NLP, Regression, Classification, Clustering, MVFA, PCA, feature analysis;

stack: Python, BERT, SpaCy, XLNet, SciKitLearn)

Recently prototyped eCommerce data and API integrations to Square and Shopify for a startup product road map

(algorithms: na; stack: Shopify, GraphQL, Square)

We helped company review the existing technology in the market, define their functional needs, then choose and prototype a solution for deployment

We have lead innovation and digital work for business leaders in transition, while they worked through organizational re-alignment or found critical, full time talent.

We serve as fractional C-Level leaders across a group of startups.