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CV/ Resume

Technical Skills
  • Science: MATLAB • Arduino/RaspberryPi/Tiva • Solidworks • C • C++ • Python • NumPy • SciPy • TensorFlow
  • Keras • OpenCV • Pandas • Scikit-learn • Sklearn • Caffe • HFSS • FPGA • Ipython/Jupyter notebooks • PLCs
  • Full-Stack: JavaScript (jQuery, Angular, React, Redux, Backbone, ES6, ES7) • HTML5/CSS3 • Angular • Sass
  • MySql • NodeJS • MongoDB • KnexJS • Grunt • Gulp • Babel • Heroku • Git • Webpack • TDD/Mocha/Jasmine
Projects
  • Vehicle and Lane Line Detection
  • Detects vehicles and lane lines from a video stream using a support vector machine and computer vision techniques
  • • Designed cell-based window search method to extract image features and predict vehicle locations
  • • Implemented adaptive color thresholds, filtering, windowing, and morphological operations to detect lane lines
  • Speed Estimation
  • Neural network dashboard cam speed estimator for autonomous vehicles trained on 8616 images extracted from a video
  • • Utilized dense optical flow analysis and architected conv-net processing pipeline to achieve MSE of ~5.6
  • Behavioral Cloning
  • Trained a model to simulate a self-driving car by predicting steering angles while driving in a unity simulation
  • • Normalized a multi-modal data distribution by performing data augmentation and creation
  • • Created a creative preprocessing pipeline with brightness augmentation, vertical flipping, resizing and cropping
  • Breast Cancer Tumor Classifier
  • Breast cancer tumor classifier that predicts malignant v benign classes with over 93% accuracy
  • • Designed and tuned descriptive machine learning models such as Naive Bayes, Decision Trees, and Support Vector Machines and obtained inference accuracies for each model
  • • Utilized features such as fractal dimensionality, symmetry, radius mean and texture to obtain 93% accuracy on inference
  • Traffic Sign Classification
  • Classify Traffic Signs from more than 40 classes in a German Traffic Sign Dataset of 50,000 32x32 images
  • • Implemented a LeNet-like CNN using Google’s TensorFlow deep learning framework
  • • Utilized normalization, data creation, regularization methods to increase accuracy to ~ 94.5% at test using TensorFlow
  • Game Review API
  • A restful API that allows users to search through 18k game reviews and query for top scores by genre, platform, title etc
  • • Parsed game review data from ign.com and filled MySql database tables using an MVC file pattern
  • • Designed ES7 generator functions to synchronously seed the database with 18k row entries
  • Omakase
  • A location-based food ranking application, (“Yelp for a single dish item”)
  • • Product manager for a team of 4, taught git workflow to team members, validated all commits and pull requests
  • • Designed relational database schema in SQL to accomplish MVP and authentication features
  • • Implemented models to read/write data to and from a MySql database using an Object-relational mapping tool
  • Reddit Search
  • A one-column UI-friendly Reddit search interface that allows users to filter live search results
  • • Implemented models to read/write data to and from a MySql database using an Object-relational mapping tool
  • Radar Sensor
  • 24 Ghz Radar sensor to detect real time speed and range measurement
  • • Programmed a micro-processor to control a patch antenna array and transmit signals to antenna transceiver
Work Experience
  • Computer Vision Engineer
  • Octi inc.
  • • Focus on computer vision and deep learning using caffe, tensorflow, keras and openCV
  • • Design and optimize joint localization and sparse 3D reconstruction networks for mobile (ios)
  • Software Engineer
  • Astra
  • • Implement bug fixes, unit testing, feature development in react and assist with time series analysis algorithms
  • Founder
  • Self-Driving Cars Los Angeles
  • • Prepare and present lectures on Machine Learning, Computer Vision and Image processing to 190 members
  • Technical Mentor
  • Udacity
  • • Technical mentor providing support to 17 students in Udacity’s Self-Driving Car Nanodegree program
  • • Provide technical support and guidance on a variety of Computer Vision/ Machine Learning topics including Classification, Image Processing, Artificial and Convolutional Neural Network implementation, and perception
  • Automation Engineering Intern
  • Genentech, Oceanside, CA
  • • Increased batch checking precision and efficiency through improving gas chromatography review tools
  • • Implemented SQL queries and commands to automatically render graphical data for fast validation
  • Software Development Engineering Intern
  • inSightec
  • • Created algorithms that contributed towards Parkinson’s tremor’s cure through designing a feedback control system that monitors an MRI-guided focused-ultrasound wave during a neurosurgical procedure
  • • Designed control system for real-time simulation of musculoskeletal responses in MATLAB
  • Student Body Senator
  • Associated Students of University of California Davis
  • • Co-managed an annual 11.8M budget and oversaw 26 student-run businesses on campus
Education
  • University of California, Los Angeles: Master of Science, Computer Science, Present
  • Udacity Self-Driving Car Nanodegree: Computer Vision and Deep Learning, 2017
  • Hack Reactor: Advanced Software Engineering Immersive, 2016
  • University of Califiornia, Davis: Electrical Engineering, 2015
  • Specialized in Digital and Analog Signal Processing, Control Systems, Antenna design
  • Deans list: Spring 2014, Fall 2015