Professional Résumé
References available upon requestSkills
- Typescript
- Javascript (ES6)
- HTML5/CSS3
- Ruby
- React
- Angular
- Express
- React Native
- Ember
- Ruby on Rails
- Rapid Prototyping
- User Validation
- Documentation
- A/B Testing
- Assessments
- Team Deligation
- Technical Specifications
- AWS
- Auth0
- Firebase
- Stripe
- Slack
- Google Maps
- UI / UX Design
- Data Visualization
- Wireframing
Select Projects
(more projects & details available at https://manske.me)Jun 2019
Feb 2019
Feb 2019
Mitsubishi G-Tape
gtape.comNov 2018
Jun 2016
Aug 2015
Nov 2014
Select Employment
Current
(2 yr, 4 mo)Divergent 3D
divergent3d.comLead a team of developers & scientists in various research & development applications spanning generative topology optimization, robotic assembly planning, & additive manufacturing materials exploration.
Managed a series of internal applications to facilitate various research & development initiatives.
Dec 2020
(2 yr, 1 mo)ProdPerfect
prodperfect.comSpearheaded the design & development of a series of platform applications to facilitate self-managed E2E test suite development & reporting.
Dec 2018
(6 mo)Miro Health
mirohealth.comDeveloped a suite of HIPAA compliant applications to assist in clinical neurological, psychiatric, & cognitive assessments. Managed an offshore team & assisted in hiring & onboarding in-house developers.
Oct 2015
(5 yr, 4 mo)Built a product team of a dozen developers & support staff. Lead product research & development, code architecture & project management decisions for dozens of startup & intrapreneurial ventures. Developed several large-scale javascript applications.
Nov 2012
(1 yr, 2 mo)Junto
manske.me/juntoDesigned an extensive learning program for ground-level startups that included software development, business development & angel investment procedures.
Education
May 2010
University of Wisconsin – Madison
wisc.eduMay 2006
Johns Hopkins University
jhu.eduSoftware Patents
Pending
(Aug 2019)A software package that mimics assembly floor hand-off patterns & real-time sequential decision making to accurately generate, visualize and replay assembly scenarios. In addition to the simulations, the software also utilizes a modified genetic algorithm to optimize for things like completion time and robot utilization. The package employs a unidirectional, flux-based data propagation pattern that ensures predictable state mutation to avoid race-conditions and allows for time-travel/replay functionality. All code is written in Typescript and compiled to be run both in browser and Node environments.