Vannevar Decrypt uses NLP and Computer Vision to create insights regularly briefed to senior DOD leaders. I hired the team that built Decrypt from scratch to $10M+ ARR and $100M+ contract value in 2021, the fastest time to market we know of in national security. We raised $16.5M led by General Catalyst, Point72 and Costanoa Ventures.

Helping companies with software and data strategy & execution.Example clients:• Fandom• Gauss Surgical• Prudential• JCrew• McDonald's• Slice Technologies (Rakuten)

• Built deep learning platform with world-class NLP and Computer Vision. Launched web interface &python package to use & train classifiers, and HTTP API w/polyglot examples.• Developed event-based developer evangelism strategy adding $10M/year in enterprise value.• Spoke with dozens of customers to understand their needs, onboard, and troubleshoot.• Led weekly sprints. Setup cloud and physical infrastructure, source control, continuous integration,deploy process, security, DNS, site monitoring, code review. Grew team to 15.

• Led data products and engineering. Launched street sweeping alerts, trip cleanup, route intelligence, engine alerts, gas understanding and other machine learning features.• Scaled data pipeline 100x, with 15x spare capacity, using AWS (EC2, RDS, S3, SQS), MySQL, PostGIS, New Relic, Java. Created research and analysis framework in Python, R, SQL.• Mentored data team, led cross-functional product groups, filed 6 patents.

TMS, Inc. is a growth-stage company serving patients with chronic disease in general and Diabetes in particular. As one of 3 employees in the Boston headquarters, I served several functions:-Created Internet and direct mail marketing strategy. Implemented the Internet strategy, from website development through advertising and customer conversion.-Crafted and analyzed financial statements and projections in support of 2 major equity raises.-Performed due diligence on acquisition candidates.-Developed technology and marketing materials for new in-home monitoring business segment.

Worked with David Ungar (http://en.wikipedia.org/wiki/David_Ungar) on user interface and documentation for Self, an object-oriented programming language.