Computer Vision Engineer Resume Example
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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 CaliforniaCity, State, United States
Activities & Honors:
- UCSD NCAA Women's Soccer Team
- 2-time Athletic Director Honor Roll-Gold Level
- iLead Communication and Leadership Award
Skills
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Experience
Computer Vision Engineer11/2017 to CurrentVerizon CommunicationsBridgeville , PA
- 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 11/2017360PiIndianapolis , IN
- 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 06/2017Syllable
- 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 CurrentTijuana Red Cross
- 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 05/2017Company NameSunnyvale
- 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
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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