Lily Ho
Machine Learning Engineer
Monterey Park,CA
Summary
Sophisticated Machine Learning Engineer with background in independent research using intuitive, web-based architecture. Skilled in CNN deep learning, Python, Keras, Jupyter, Numpy, and Pandas with documented history of discovering methods to intelligently use data to enhance user experience. Effectively researches techniques for novel approaches to problems, develops prototypes to assess viability of approach and deploys application into production yielding insights to expand customer-consciousness.
Overview
41
41
years of professional experience
7
7
years of post-secondary education
6
6
Languages
Work History
Machine Learning Engineer
NAVAIR, Department Of The Navy
China Lake, CA
06.2002 - 12.2022
- Created customized applications to make critical predictions, calculate optimization algorithms to help customer for decision making.
- Designed, developed, and implemented CNN image classification models using data augmentation techniques, residual architecture , and inception architecture to improve model performance to solve problems in machine learning trained model.
- Researched, designed and implemented CNN deep learning models to solve lower prediction accuracy and higher false alter problems in radar image classification of six targets with constraint on number of parameters and increased accuracy 8% for helicopter detection system.
- Collaborated with multi-disciplinary product development teams to identify performance improvement opportunities and integrate trained models .
- Identified available video records of project testing as training and test data set and researched technical details to build innovative Machine learning models for data extraction and analysis.
- Studied new technologies to support machine learning applications.
- Developed conversion modeling between different application software to streamline analysis processes.
Mechanical Engineer
NAVAIR , Department Of The Navy
China Lake, CA
06.2002 - 12.2022
- Conducted research to analyze feasibility, design, operation and performance of air breathing solid ramjet, nozzles, motors, and test systems.
- Modified instrument designs to meet requirements and eliminate malfunctions to achieve successful standard missile test on scheduled under budget in aero- thermal test facility.
- Effectively developed variety of computational models using Computational Fluid Dynamics tools and thermal tools for life cycle analysis support of different programs.
- Suggested cost saving proposals for customer's test facility to avoid outsourcing contract reduced cost 1 million dollars for space program.
- Generated system concepts to satisfy product requirements.
- Communicated project requirements and areas for improvement in design review meetings.
- Evaluated final product's thermal environment to contribution for Joint Strike Fighter weapon's certificate.
Education
Master of Science - Thermal Fluid
California State University Northrige
Northrige 09.1998 - 12.2001
Bachelor of Science - Chemical Engineering
Guangxi Engineering Institute
Guangxi, China 09.1980 - 07.1984
Skills
Deep neural network
undefinedAdditional Information
Stanford CS 229 Machine Learning, CS 230 Deep Learning, CS 229A Applied Machine Learning, CS 231N Computer Vision
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Quote
Your daily life is your temple and your religion.
Kahlil Gibran
Timeline
Machine Learning Engineer
NAVAIR, Department Of The Navy
06.2002 - 12.2022
Mechanical Engineer
NAVAIR , Department Of The Navy
06.2002 - 12.2022
Master of Science - Thermal Fluid
California State University Northrige
09.1998 - 12.2001
Bachelor of Science - Chemical Engineering
Guangxi Engineering Institute
09.1980 - 07.1984
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