Sr. Systems Engineer Resume San Diego, CA - Hire IT People

SUMMARY

Over 4 years in Data Science and Machine Learning applications, and 15 years’ experience in biomedical imaging system development.
Highly motivated individual with multi - disciplinary background and expertise both in academia and industry.
Strong technical, problem-solving, innovative and teamwork skills. The main personnel for multiple projects developing state-of-the-arts instrumentation systems.
Solid background in Physics, Mathematics, Mechanical and Electronics engineering; expertise in Machine Learning, Data Analysis, Data Harmonization, Numerical methods, Algorithms and Modelling.
Seeking a position in the industry that can fully utilize the skill sets and experience s.

TECHNICAL SKILLS

Statistical analysis, regression modelling, Machine Learning, Neural Network, Deep learning
Numerical computation, Monte Carlo simulations, Analytical modelling
Programming and Data analysing using C/C++, Matlab, Python, R, Fortran
Microsoft Azure products, SQL
Windows/Linux platform, HPC cluster, DOS/Bash script
Other Data Science Tools and applications, Jupyter Notebooks, TensorFlow, Keras,, Matplotlib, Plotly, Shiny, Leaflet, ggplot, knitr, Skikit-learn, Microsoft Office & Visual Studio Suite, etc.
Mechanical engineering design, AutoCAD/Solid Edge/SolidWorks, 3D printing

PROFESSIONAL EXPERIENCE

Confidential, San Diego, CA

Sr. Systems Engineer (Data Scientist)

Responsibilities:

Successfully developed a RFID positioning system using Machine Learning algorithms that provide a low-cost solution for tracking and positioning in the industrial wireless sensor network
Developed new algorithms for fast path loss estimation that can significantly lower the cost for industrial sensor network planning and deployment
Using Microsoft Azure product to facilitate data processing, modelling, machine learning and storage, using Azure Data Factory to build pipelines for internal data services.
Two patents (in application), two conference papers

Data Scientist

Confidential

Responsibilities:

Developed algorithms and solutions for customer in academia on nuclear detection using Machine Learning techniques
Developed the automatic lookup table generating technique for the detector pixel discrimination using Machine Learning clustering algorithms
Developed non-lookup-table detector pixel discrimination technique using Neural Network Deep Learning algorithms which is essential for a new concept nuclear detection technology

Confidential, Houston, TX

Research Faulty

Responsibilities:

Developed a series of cutting-edge nuclear imaging systems using multiple data science methods and technologies
One system was successfully licensed by a third-party company and commercialized
Invented two new concept scintillation detectors for X-ray and gamma photon that significantly reduced the manufacturing cost and improved the performance as well
Designed and implemented statistical models, Monte Carlo and numerical methods, in the biomedical imaging systems development and system optimization. Achieved the goals of better performance and lower manufacturing cost.
Developed a new normalization algorithm for system calibration that significantly simplified the maintenance requirement, lower the operation cost and improved imaging quality of imaging systems
Developed the platform for nuclear detector system testing, data acquisition and processing to improve the nuclear imaging systems developing circle and efficiency
Managed several projects for the design, manufacture, assembly and integration of the nuclear imaging systems and prototypes
Mentored multiple individuals including young researchers and university students