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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Companies Worked For:
World Bank Project
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
Bachelor of Arts : Computer Science June 2017
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