Engineer Data

HU LIN

**** **** **** **, ****, MI ***** - 678-***-**** – *******@*****.*** – U.S. Citizen

Professional Experience:

Udacity Self- Driving Car Nano Degree 12/2016 to Present

• Deep Learning modules: Regression & Classification, Neural Networks, MiniFlow, TensorFlow, Deep Neural Networks, Convolutional Neural Networks, Keras, Transfer Learning, Behavioral Cloning

• Computer Vision modules: Machine Learning, Support Vector Machines, Decision Trees

• Algorithm Projects: Sign Classifier,Behavioral Cloning Simulator, Vehicle and Lane Detection and Tracking Sensor Fusion, Kalman Filter, EKF, UKF, Particle Filter Localization, PID Predict Control Continental, Warren MI, Resident Engineer at GM 06/2017 to Present

• Responsible for long/short range radar deployment for ADAS and autonomous driving project.

• Support Ethernet, CAN based flashing, vehicle/bench diagnostics and software testing.

• Project management: coordinate meetings for issues tracking and parts deliveries, support sensor performance evaluation and data collection.

• Conti Software Boot Camp Training: Embedded programming. Contractor at FCA, Auburn Hills MI, Tire Release Engineer 04/2016 to 06/2017

• Responsible for quality improvements, cost reduction, efficiency improvements

• Support tire line-ups on international vehicle lines at China, Brazil, Mexico, India. Coordinate development process with engineering teams, suppliers, purchasing, quality. Responsible for compliance/homologation process at different markets: NAFTA, EMEA, APAC and etc. CGG, Oil Exploration Company – Houston TX, Staff Seismic Image Processing Engineer 06/2012 to 10/2015

• Field Work: Perform marine underwater acoustic data acquisition with 16000 sensors arrays, with GPS and attitude data, scanning through ocean with acoustic wave, to produce seafloor topography, and vertical/3D/4D structure of subsurface to identify oil reservoir (Similar to Lidar or SONAR).

• Signal Image Processing and Algorithm Development: o Write scripts to perform quality testing for seismic data acquired with 16000 acoustic sensors arrays, analyze performance of sensor system, geospatial coverage/coordinate verification o Adaptive noise reduction, wavelet transform, irregular sampling restoration, digital filter design, reconstruct seismic data to form subsurface image to identify oil reservoir. o Irregular data restoration, data regularization, signature analysis, algorithm validation. o Image Enhancement and Restoration, feature extraction, seafloor mapping, spectrum analysis o Responsible for project with 3000 TB data. Perform design, analysis, testing, validation and evaluation of big data/imaging/signal process algorithm/workflow in Unix environment.

• Modeling and Simulation:

o Simulate underwater acoustic wave propagating through ocean and earth subsurface o Extract structure feature for earth layer material characterization, physical and statistical modeling. Construct 3D physical property modeling/point cloud of image content. o Noise predictive modeling, Wave velocity statistical correction, tomography for velocity error update. Collaborate with geologist for model/subsurface interpretation.

• Project Management

• Lead difference phases of $200 million Gulf of Mexico subsurface imaging project, improve production cycle time, responsible for GPU/CPU cluster resource schedule and control.

• Provide technical leadership to new hires, encouraging best practice in data processing flow.

• Collaborate with R&D/programing for new technology testing and software tools development. Technical Skills

● Labview, Matlab, Simulink, Perl, Python, Digital Signal Processing, high performance computing, Image Processing, Predictive Modeling, data visualization, VSPY, CANoe. Georgia Institute of Technology

B.S. Mechanical Engineering Program, Highest Honor (GPA 3.62 /4.00) 05/2010 M.S. Mechanical Engineering Program, acoustic and material mechanics (GPA 3.62 /4.00)12/2011

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