Senior Software Engineer/Data Scientist Resume Mountain View, CA - Hire IT People

TECHNICAL SKILLS

Math&Machine Learning skills: optimization, numerical methods, Monte Carlo simulation, machine - learning algorithms, graph theory and complex networks, data analysis, computational biophysics.

Technologies: expert in Python stack of technologies - NumPy, SciPy, Scikit-learn, Pandas, NetworkX, Cairo. Strong experience in OpenCV, Apache Kafka, Apache Cassandra. Experience in C/C++, Java SE, R, Fortran, MatLab.

PROFESSIONAL EXPERIENCE:

Senior Software Engineer/Data Scientist

Confidential

Responsibilities:

Developing new image analysis software package for electron microscopy.
Optimization and refactoring existing code.
Architecture and implementation of a new code (from prototype to prod).

Technologies: Python stack of technologies, OpenCV, Kafka, Cassandra.

Senior Software Engineer

Confidential, Mountain View, CA

Responsibilities:

ETL application in compensation domain: develop general ETL solutions design including internal and external information flows, current and future system requirements and integration points.
Proof of concept implementation. Unit tests creation for ETL pipelines.
WEB Application to help working with coaches: back-end development and design.

Technologies: Python stack of technologies, Pentaho Kettle (4.4, 5), Java SE 7.

Senior Python Developer/Firmware Engineer

Confidential, Waukesha, WI

Responsibilities:

Develop design and code for core PTF - middleware python framework.
PTF allows to manage (load/unload dkm and rtp modules, run tests etc.) boards with VxWorks.
Design API that allows using PTF for hardware/firmware team.
Support test automation team.
Make PTF compatible with Wind River Test Management.

Technologies: Python, C.

Postdoctoral Researcher

Confidential, Clemson, SC.

Responsibilities:

Development of new algorithms for modeling electrostatic potential and energy in biological macromolecules, objects, and systems at the nano-scale.
Develop new (in sense of speed) algorithms to solve PDE.
Solve mathematical problem for this project.
Support PhD students.

Technologies: FORTRAN, C/C++

Senior R&D Engineer/Machine Learning Specialist

Confidential

Responsibilities:

Develop Neural Networks automatic recognition and classification of ultrasonic and magnetic signals.
Design and implemented a new method for solving Ill-posed problem to determine defect for a real MFL signals.
This method makes possible to quickly calculate the MFL field of a given defect for any parameterized shape on a standard PC, without expensive software.

Technologies: MatLab, Python, Java.

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Senior Software Engineer/data Scientist Resume

Mountain View, CA

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