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Computer Vision Engineer Resume Example

Resume Score: 60%

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COMPUTER VISION ENGINEER
Objective
Seeking a Data Science/Machine Learning Position
I am looking for a full time position in the AI space, my passion is using AI powered tools and platforms to create smarter software.  
Education and Training
Bachelor of Arts: Computer ScienceJune 2017University of CaliforniaSan Diego, CA, United States
Activities & Honors:
  • UCSD NCAA Women's Soccer Team
  • 2-time Athletic Director Honor Roll-Gold Level
  • iLead Communication and Leadership Award 
Skills
  • Machine Learning: deep learning, feature engineering, transfer learning, regression, classification, reinforcement learning
  • Languages : Python, Linux, SQL, Java, HTML, CSS
  • Frameworks/Applications: Tensorflow, BigDL, Spark, scikit-learn, Jupyter, GCP, AWS, Qubole, Anaconda, Docker, Git
Experience
Computer Vision Engineer11/2017 to CurrentYadleSan Ramon, CA
  • Building detection and classification models using Python, Tensorflow, Keras, scikit-learn
  • Constructing data ingestion pipeline, implementing APIs, and model deployment framework to add deep-learning generated intelligence to our system
Deep Learning Engineer08/2017 to 11/2017World Bank ProjectSanta Clara, CA
  • Using a distributed Deep Learning framework for Apache Spark, BigDL, to train an Inception V3 CNN and classify 2.4 million images for the World Bank to detect fraud amongst crowdsourced images
  • Doing feature engineering, image pre-processing, transfer learning, and fine-tuning of pre-existing ImageNet model from Caffe using inception architecture 
  • Published a customized Amazon Machine Image for deep learning in Spark to launch EC2 instances for educational purposes
  • Speaker at multiple workshops/meetups including Intel AI DevJam Night in SF (video link: https://www.youtube.com/watch?v=KzPWkY6Ng6M&feature=youtu.be)
Project - Netflix Movie Recommendation System06/2017 to 06/2017UCSD
  • Engineered dataset for students' opinions on Netflix movies to learn a Naïve Bayes Model for classifying students to a moviegoer type
  • Used EM algorithm for binary matrix completion, then fine-tuned parameters used to recommend personalized, best unseen movies to each student 
Natural Language Processing for Resume Evaluation06/2017 to Currenttalents.ai
  • Developed resume evaluation system using NLP libraries such as NLTK to parse files of pdf/docx formats and rank candidates' skills sets.
  • Used TensorFlow (CNN, regression) to classify potential candidates to sub-categories and predict likelihood of job success
End-to-end Emergency Dispatch System02/2017 to 05/2017Red CrossTijuana
  • Developed web-application which connects dispatchers with ambulance locations in real time, part of an end-to-end emergency dispatch system deploying in Red Cross of Tijuana, Mexico.
  • Implementing MQTT protocol, REST APIs, serializations, designing schema, improving data visualization using Python/Django and designing algorithm to route ambulances more efficiently and reduce response times.
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Resume Overview

Companies Worked For:

  • Yadle
  • World Bank Project
  • UCSD
  • talents.ai
  • Red Cross

School Attended

  • University of California

Job Titles Held:

  • Computer Vision Engineer
  • Deep Learning Engineer
  • Project - Netflix Movie Recommendation System
  • Natural Language Processing for Resume Evaluation
  • End-to-end Emergency Dispatch System

Degrees

  • Bachelor of Arts : Computer Science June 2017

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