Validation / Image Quality Engineer Resume

Title

Validation / Image Quality Engineer

Primary Skills

Supporting medical devices and software in areas such as diagnostic imaging, verification & validation, customer support

Location
US-NY-Rochester

Posted
Aug-16-12

RESUME DETAILS

Summary

Position supporting medical devices and software in areas such as diagnostic imaging, verification & validation, customer support, application & test engineering, and software quality assurance, utilizing skills in image systems, digital image capture & image exploitation, electro-optics, algorithm development and systems engineering. Experienced in digital and satellite imaging.
SKILLS
* Validation & Verification SW QA of medical software & hardware in FDA regulated - cGMP environment, skilled in clinical quality assurance and compliance
* Color/Spatial Management for digital image processing, product image quality optimization, artifact correction, soft display & hard copy
* Electro-optical system design & service, Visible & IR, CCD sensor physics, modeling & simulation of visible & infrared, imaging systems, satellite imaging, product image quality
* Windows, UNIX, Linux, Matlab, IDL, C, FORTRAN; C-shell scripting, custom in-house image management tools
* Excellent technical writing and presentation skills

Professional Experience
Johnson & Johnson Ortho Clinical Diagnostics (Rochester, NY)
Sr. Software Test Engineer (as consultant through Kelly OCG) 2010 - 2011
* Design and conduct test procedures, wrote test protocols for SQA validation & verification of CellSearch blood analyzer software and hardware. System enumerates blood borne circulating cancer cells to assess prognosis of patient treatment. Experienced in FDA regulated - cGMP environment. Thoroughly trained - more than 40 courses - in clinical quality assurance and compliance.

ITT Space Systems Division (Rochester, NY)
Sr. Image Systems Engineer-Principal Investigator (PI) - Image Science Center 2004 - 2009
* Customized new image modeling tool for a very high resolution earth surveillance imaging system, to conduct QA design for sensors, optics and operational tradeoffs for the next generation system. Allows for very flexible adaptation by new, less experienced engineers.
* PI for Proprietary Project: Supervised a team to switch a high resolution above ground image system to employ new image format in 4 spectral bands. Optimized tone, color, contrast, noise and mitigated visual artifacts. Designed software to compare statistical differences between extremely large high resolution images from the new and legacy systems. Designed and executed visual evaluation study on very short schedule to mitigate unexpected design errors by partner contractors. Provided guidance to improve image quality in operational system in time for scheduled transition to key strategic resource.
* PI for Product Quality Comparison Study: Identified attributes, collected images, performed simulations, designed/conducted QA visual evaluation to quantify visibility of differences between PQ specs and actual performance for multiple spectral sensors. Wrote simulation IDL code for uniformity, band/streaking, and noise. Designed & executed visual Evaluation Plan.
* PI for Banding/Streaking Study: Resolved the TBD/TBRs in a special requirements document for quality assurance of banding and streaking artifacts in several spectral bands for future "above ground" high resolution imaging systems. The study quantified the visibility of these artifacts. Employed in-house simulator model tool and IDL to produce Gaussian distributions for streaking and banding. Designed Visual Evaluation Plan tor combinations of dark noise and exposure employing trained evaluators to assess visible thresholds for the artifacts.
* PI for Night Vision Modeling project. Developed and delivered, on schedule, a model that incorporated the responsivity, noise, and MTF effects of all elements of an 3rd GEN Image Intensifier Tube imaging system, including photocathode, multichannel plate, phosphor screen, fiber optic bundle and CCD imager. Model was successfully used in a research program.

Eastman Kodak Company (Rochester, New York)
Sr. Image Systems Engineer - Image Science Div. Engineering & Simulation Lab 1997 - 2004
* Lead image scientist for state-of-art and low cost minilab programs. Developed & implemented color & spatial management including calibration, color profiles incorporating Kodak technology into a novel, low cost reflective LCD print engine. Designed & conducted quality assurance psychophysical studies to confirm system image quality. Reconfigured image path to satisfy Chinese market preference.
* First implementation of custom proprietary image digital rendering framework into a very low cost minilab photo printer and first system qualified for Kodak Perfect Touch brand. Successfully rescued the Photo ramp on-line retail solution by revising the scanner processing path.
* Analyzed and corrected numerous quality assurance problems with the color and sharpening on the Professional Division Cruise Imaging System.
* Proved through a study, that generic color ICC profiles were preferable to customized profiles for printing from 3rd party consumer digital cameras.

Sr. Product Engineer Consumer Imaging 1993- 1996
* Systems and current engineering responsibility for Picturemaker print kiosks. Substantially reduced defects per unit by 30 % by creating a new process find root cause of defects, and produced thorough QA process documentation and training manufacturing and field service personnel.
* Created requirements and QA procedures for qualifying CD readers/writers and operating systems for the Kodak Photo CD brand, including ADPCM streaming audio. Coordinated SW resources to create code for the tests and worked with OEM vendors of CD hardware and drivers to qualify their products for use of the Kodak PhotoCD brand logo.
Sr. Development Engineer Federal Systems Div - Electro-optics Lab 1990 - 1993
* Defined and analyzed system performance requirements for submarine periscope hi-resolution CCD camera. Designed test stands and wrote software to measure and analyze image data.
* Analyzed requirements and designed major components of the development and manufacturing test set for IR camera including IR sources, targets, optics, cryogenics and software. Designed & optimized perceptible temperature difference model.
* Field tested and performed data analysis on IR focal plane cameras for missile seeker applications.
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EDUCATION
M.S. (Electrical Engineering), University of Illinois, Urbana, Illinois.
B.E. (Electrical Engineering), The City College of New York, New York, NY

ADDITIONAL TRAINING
Kodak Image Science Career Development Curriculum
ITT Image Science Career Development Curriculum
Johnson & Johnson OCD Clinical Quality and Compliance

Certifications

See above

CONTACT DETAILS

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