Machine Learning Engineer Resume

SUMMARY

To obtain a full - time position which requires multidiscipline skills in machine learning, control design, and battery design.
2 years of data analysis experience: MATLAB(4 years), c++(4 years), python(1 year), Java(1 year), Lua(0.5 year), SQL(0.1 year)
1 year of battery material research: chemical synthesis, battery fabrication, cell characterization, graphene synthesis, battery management
4 years of mechatronics system experience: micro-controller, electrical circuit, machine element design, FEA, robotic design, ship design

TECHNICAL SKILLS

C++, Python, Lua, Java, R, Matlab, jQuery, ASP.NET, SAS, SolidWorks, LabVIEW, SQL, Autolab, STM32, Raman spectroscopy

PROFESSIONAL EXPERIENCE

Confidential

Machine Learning Engineer

Responsibilities:

Assist customer to install various software and access school system, and maintain the computer lab operation.
Researched on Reinforcement Learning and control (Tensorflow, Torch), and machine learning model (Scikit-learn)
Developed autopilot system which takes driving video as input and output the steering wheel value with accuracy over 93.7%
Route planning system analyzed battery condition, motor heat and topography to optimize electrical vehicle performance by 10% on Google map by reinforcement learning
Image classification and object detection which classified four classes from 1280 images by CNN model and with accuracy near 70%
Sentiment Analysis which classified IMDB reviews into positive and negative via logisticregression with the accuracy over 89%
Search Engine (Java) which took in user’s keywords and displays all the web page title and 50 characters summary of content
Constructed a model for an unknown plant through system identification experiment and develop a Simulink model of the plant
Designed a PID controller on STM32 for plants to meet requirement of faster settling time, less overshoot and zero steady state error
Developed Matlab program to generate the trajectory, velocity profile, joint rate and the dexterity ellipsoid parameters of the end effector
Modeled the engine condition based on the data from sensor in the engine to simulate the working process with MATLAB and apply different parameter on EGR, SOI, VGT to analyze their efficiency. Personal research on waste heat recovery methods.
Designed turbo blade based on fluid mechanics and thermodynamics, and successfully designed a model with SolidWorks, CAD, CFD

Confidential

Battery Research Assistant

Responsibilities:

Designed electrode and optimized lead acid redox-flow batteries (RFB) with additives and use electrochemistry method, XRD, EDS to analyze the Nyquist plot of the impedance, Randles circuit, cyclic voltammetry, pH value and the morphology of the electrode.
Researched and design experiment of producing graphene through LPE method and use Raman spectroscopy to analyze the production
Achieved 7 th place among 24 teams by fully utilized mechatronics (camera, switches, pump, magnetometer, ultrasonic sensor, and motor)
Demonstrated colors detecting, flowers watering, turning while a barricade, crossing the mud and a sinusoidal shape road without deviation
Design outdoor fitness strider with safety and sanitary enhancement, and other mechanism implementation
Design swiss army knife with scissors, blades, can opener, corkscrew, and garden gadget with plastic bottle, Styrofoam, and chopsticks

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