Python Assistant

Smriti Gupta

****, ****** *****, ***# ***, College Park, MD 20720 +1-240-***-**** ********@********.***.*** - guptasmriti2848 EDUCATION:

University of Maryland College Park, MD

M.Eng-Robotics Expected 05/2021

GPA-3.8

Relevant Coursework: Robot Control; Robot Modeling(Position and Velocity Kinematics, Grasping); Robot Programming(C++ and ROS). Perception for autonomous robots, Planning for autonomous robots, Building a manufacturing software system(ARIAC) Ujjain Engineering College Ujjain, India

BE-Electronics and Communication 06/2018

• First Class Honors, among the top 2% of the class SKILLS AND CERTIFICATIONS:

• Soft Tools: C, C++, Python, Embedded C, VHDL, MATLAB, Octave, Gazebo, AI2 THOR, ROS, MOVEit, SLAM, OpenAIgym.

• Hardware Skills: Arduino, AT mega 328 (AVR microcontroller), PIC Microcontroller.

• Certification Courses- Machine learning with Python and MATLAB, Deep Neural Networks with Keras, CNN with Tensor Flow.

• Technologies- Numpy, Scipy, SciKit Learn, Pandas, Matplotlib, Keras, Pytorch, Tensor Flow, OpenCV

• Estimation in Wireless Communication (MIMO/OFDM). Technical Experience:

Meta Cognitive Lab University of Maryland

Research Assistant 08/2019-Present

• Working on implementing “commonsense in artificial intelligence” with “ALMA CARNE”.

• Validating the decisions through the simulator.

Edo Square Pvt. Ltd. Indore, India

Robotics Intern 11/2018 – 12/2018

• Worked on Arduino with embedded C and devised prototypes in a team of 4.

• Collaborated with the marketing team and revised old prototypes. Airport Authority of India (DABH) Indore, India

Intern 05/2017- 06/2017

• Calibrated and maintained instruments in the Communication, Navigation, and Safety Aids department for runway and antennas alongside full-time employees.

• Reinforced airport surveillance and automation required for the safe takeoff, landing, and fight in the air.

• Monitored the RADAR data for communication with flights and other airports. PROJECTS:

Classifier - IBM Watson/ Machine learning

• Used classification algorithms like KNN, Decision tree, SVM and Logistic Regression and build a model to fit the data.

• Calculated the accuracy with F1 score, Log-Loss and Jaccard Index. Regression Model - IBM Watson/ Keras

• Used deep neural networks, with CNN and regression for the data of “Concrete’s compressive strength”.

• Modeled and tested the data performance with various optimizers and a varying number of epochs. AR-Tag Detection and Tracking- Opencv

• Superimposed an image and virtual cube on AR- tag detected in a video using homography and contouring. Lane-Detection and Turn Prediction- Opencv

• Implemented on Udacity’s video dataset.

• Used hough transform, histogram plotting and curvature of polynomial to predict the turn. Controller Designing based on LQR and LQG - Python

• Tested the observability and controllability of double pendulum on a moving cart.

• Fabricated LQG and LQR for a linearized and non-linearized system, stabilized it in 20 sec. Position-Based Impedance Control Method for Bionic legged Robots - MATLAB/Simulink

• Tested the observability and controllability of HDU for bionic legged robots.

• Achieved impedance control by achieving stiffness and damping control. KUKA robot- V-REP/simulation

• Modeled and validated the forward and inverse Kinematics of the KUKA robot in V-REP simulation software.

• Developed and tested position and motion control algorithms using MATLAB.

• Implemented Path planning using FK for object scanning purposes.

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