- Established trust and rapport as the active advisor of 9 key accounts for both PLM and net new development- Translated customer needs and challenges to architectural diagrams, data flows, estimations, and delivery schedules - Prototyped and presented pre-sales solutions to customers based on their business requirements- Transitioned discovery outcomes to the engineering team in the form of a detailed technical project plan on a wide array of multimillion-dollar software projects

- Architected Society, an enterprise SaaS platform specializing in expanding CRM through blockchain technology, loyalty, and rewards- Grew overall business from 0 users to over 250,000 individuals for approximately $10 million in revenue- Crafted pre-sales, estimation, architecture, development, QA, project management, and product release processes from the ground up to foster consistent releases and create a highly motivated team of 18 members

- Led an 11-member team (Devs, Testers, Product Owner, Requirement Engineers, Architect, and Intern) through AGILE sprint development cycles to create and deploy a full-stack cardiology imaging suite to 100s of hospital systems globally- Addressed customer feedback for installs, upgrades, and database migrations at 4 of the top 5 US Cardiology hospitals- Evaluated and prioritized project critical design, requirement and scope adjustments, and customer escalations to create a high-quality and efficient release plan with coordination between management and 8 software teams internationally- Motivated team by outlining individual blockers and pain points in retrospectives and created High-Speed initiatives- Configured auto-deployment test servers and transferred knowledge to the non-test team to increase the software release test pace

- Maintained technical relationships with customers through monthly prototype demos and by implementing feature requests- Created net new business with highly marketable AI and CV feature development including cardiac view detection and automatic ejection fraction calculation - Championed software architecture and design for DICOM encoding to support sub-second image layout changes - Global Subject Matter Expert of automated software quality for a team of over 400 members

- Implemented highly marketable imaging features in C#, C++, and XAML dedicated to reducing the duration of patient study reading- Built, verified, validated, and maintained the first Syngo Dynamics Integrated Test pipeline and grew the continuous integration initiative to over 500 ITs each running on 5 releases across 6 product lines covering 24.9% of requirements- Reduced release cycle by two weeks by replacing over 300 manual test cases- Increased overall product quality with increased code coverage, test-driven development, and technical debt refactoring

- Investigated the usefulness of radiomics across non-invasive biological imaging modalities (PET, CT)-­ Extracted over 1600 radiomics features with Python and MevisLab on computer vision segmented lesions-­ Analyzed the robustness of individual Pyradiomics features to increase diagnostic confidence at varying times

- Designed an automation process to increase development efficiency of portable electrocardiogram USB cable software- Developed the framework for continuous integration of cable unit tests on TeamCity to seamlessly continue release code testing- Implemented active trigger for all unit tests with Python scripts upon the nightly completion of ECG software build- Documented the automated cable testing process to create ease in future unit test additions and variations

- Created a novel computer vision algorithm in MATLAB that rotationally stitches photon scatter plots together­- Tested rotational stitching software on samples such as silver behenate, glassy carbon, and carbon fiber to result in a robust prototype that has helped calibrate at over a two times greater accuracy than the current Rigaku model ­- Initiated the first use of biological samples in Small Angle X-Ray Scattering for Rigaku­- Isolated and imaged chicken tendons to create a high resolution test for the rotational stitching algorithm

- Trained Rhesus Macaque (Non-Human Primates) to perform tasks that activate the motor and sensory cortices - Examined neural data in MATLAB with machine learning algorithms and Naïve Bayesian classifiers to witness connections between neural firing rates and stimulus- Anticipated the creation of working neural prosthetics with accurate prediction models that will impact amputees and handicapped individuals on a patient-to-patient basis

­- Investigated the expression of oncogenes and miRNAs of Kras pathways as well as PAK4 controlled processes- Discovered insight on the miRNA-PAK4 interaction network and anticipated therapeutic treatments targeting RAS in the Kras pathway- Published in Current Pharmaceutical Design, 2014, Vol. 20, No. 33 Regulation of KRAS-PAK4 Axis by MicroRNAs in Cancer