Position: Engineer
Category: Python
English level: fluent
Years of experience: 2


Streamlined corporate projects with primary duties and focus on the equipment, technology, and infrastructure that make up the company’s operating system. 
Sustained a 24/7 stable reproducible minimal user-intervention IC inspection technological process of creating a sample die database that has been running for over seven years.
Mentored over ten operators in the work schedule system within eight years, taught SEM principles and vacuum devices. Coordinated projects by assembling support teams and assigning duties.
Clarified software tasks for automation of SEM system data. Consistently formulated tasks for developers and tested software from programs on SEM systems.

Implemented the method of image data processing for increasing sample database accuracy to nanometer values and eliminated the accumulation error.
Modeled abnormality detection system throughout data of electron microscope laser-interferometer stage movement selection and filtering, logical pattern analysis, supervised learning algorithm with Octave (Matlab).

Spearheaded the Digital Image Preparation group teamwork for extending the production line of an IC layout database preparation inforcing automation and robustness.
Automated the electron beam system sample drift correction procedure using a sweep pattern generator as position shift compensation for long-term work processes.
Introduced the feedback of survey results, assessment of survey results, and positioning by analytical methods.
Came up with and implemented evaluating, controlling, and correcting the distortion that achieved a 50% plus faster raster image servicing using Python, Numpy, Skimage, Matplotlib.

Troubleshot SEM equipment, investigated E-Beam lithography system failure root causes. Created automated procedures for collecting data and analyzing systems behavior during long-term processes.
Investigated various hardware and software tools issues, solicited collaboration with the manufacturer, conceptualized experiments and software for root cause analysis, executed several hundreds of cases.
Handled image processing along with transformation, filtration, morphology, GDS files, and pattern recognition in Python with Scipy, OpenCV, scikit-learn, Numpy, Pandas.