Tyler Hartley Email and Phone Number

Lead J&J MedTech's Polyphonic program in regards to software engineering with internal and external partners. My work includes:- Program architecture and strategy for partnership and co-development - Identifying, assessing, and brainstorming potential engineering efforts with vendors and partners- Architecting software integrations with these products and teams- Leading co-development software engineering efforts

Leading J&J MedTech's Polyphonic software portfolio across web and cloud

* Leading multiple highly effective, agile engineering teams who constantly delivered new features on a sprint-ly basis. Each team owned all aspects of software development, from CI/CD, feature development, testing, release, and maintenance.* Leading technical and engineering roadmap for multiple cloud SaaS products, using full-stack javascript, React, MeteorJS, GraphQL, Python, and more, orchestrated on AWS.* Expansion of csats.com from pure enterprise-platform to direct-to-surgeon, true SaaS platform, scaling 5x in userbase in 2 years.* Identified, nurtured, and promoted engineers to manager and senior manager positions within my org* Drive high-level strategic planning of development efforts across multiple projects to optimize resource utilization and shorten development times.* Cultivate partnerships between engineering, product and UX personnel to create holistically designed final products.

C-SATS, Inc. is a venture-backed healthcare technology company on a mission to empower the nation's 16 million healthcare workers and institutions to assess and improve their performance continuously, accurately and objectively. I am a full stack software engineer designing and creating systems to collect, analyze, and distribute crowd-sourced medical evaluations. I design and maintain embedded hardware that records and uploads surgical video from ORs around the country.

Software engineer for the EDGE laparoscopic training system. Working in a small team, responsible for all code pertaining to EDGE data collection, real-time monitoring and analysis, system maintenance, and statistical modeling. Continuing research started in the University of Washington’s Biorobotics lab to quantify and evaluate surgical skill using machine-learning algorithms such as Hidden Markov Modeling. All system features implemented in the Python environment. Amazon AWS computing and storage services widely utilized.Software manager overseeing four unique platforms and leading Simulab’s software development team. Responsible for end-to-end development of new software and electrical hardgoods/circuitry used in the SmarTissue system.

Graduate Researcher in the Sanders Laboratory, a part of UW Bioengineering. Designed and conducted NIH-funded study to understand and quantify fluid volume change in the residual limb of transtibial amputees. Developed software to drive and analyze a novel electrical bioimpedance device for the application of real-time tissue volume estimation.

Developed a computational Perl algorithm (received US Patent 8494785) to recursively construct DNA consensus sequences that match and bind to all common variants of a DNA sequence. The consensus sequence was used to generate molecular standards that may substitute for genomic DNA in various assays.Performed validating Real-Time PCR assays and subsequent statistical analysisReceived patent covering developed algorithm, methodology, and 11 generated sequences