Experience

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  Code engine studio

  Jun 2017 - Jul 2017

  Php intern

  Program web-based application: Music App Description: This is a simple website with some basic functions: show list of songs, play and vote any songs you like and then it will play automatically the song with the highest vote at 5 PM every day. My responsibilities: Backend Development with RESTful APIs. Technologies Used: Laravel framework, Git and Scrum methodology.

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  Bap it co.,jsc

  Oct 2017 - Jan 2018

  Intern

  Learn about how Bitcoin works and the technology behind - Blockchain. My responsibilities: Read Mastering Bitcoin book and understand all the concepts mentioned. Build a simple auction application based on Etherium.

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  Mgm technology partners gmbh

  Jun 2018 - Jul 2018

  Intern

  Sports Tracker. This is an internal project developed by an eleven-member team. Description: This website is a place for individuals or teams to store sports activities records (cycling, swimming, running, ...). You can view activities statistics or compare your achievements with the other users or the other teams. It also includes a chatroom, real-time location tracking, and notification system. My responsibilities: Learn about technologies and the working process. Design and build some UI components.Technologies used: ReactJS, Redux, Typescript, and Scrum methodology. Tools: Gerrit, Jira, IntelliJ. Show less

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  Polytech marseille

  Feb 2019 - Jun 2019

  Big data engineering intern

  My responsibilities: Crawl data from websites, pre-process and store to the MongoDB. Apply LDA (topics models technique) to explore the hidden knowledge of the source text. Conduct some visualizations for a comprehensive understanding of the collected data. Evaluate and improve the quality of the outputs. Build a prototype as a Web APIs server using Plumber.Technologies used: Python, R, Hadoop, Spark, Plumber, Flask, Scrapy

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  Bap it co.,jsc

  Aug 2019 - Jan 2021

  Artificial intelligence engineer

  I have worked in a Computer Vision Project from the very beginning to the final production: o Research and determine the general solution for some problems related to Semantic Segmentation, mostly based on public implementations of SOTA Deep Learning models.o Collect and conduct customized data for training models (involve manual and automated steps).o Tune models and augment data in various ways, evaluate the prediction, export and serve models.o Use Image Processing techniques to handle inadequate inputs and outputs.o Build a simple pipeline for developing models.o Conduct APIs (Flask server) to communicate with other teams (mobile application, web app).o Engage in CI/CD processes, containerize services and control code's version. Technologies used: Python, OpenCV, Selenium, Scrapy, Tensorflow, Keras, DVC, MLFlow, Flask, Git, Docker. Show less

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  Ftech co., ltd

  Jan 2021 - now

  Computer vision engineer | team leader
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  Grokking vietnam

  Apr 2022 - now

  Fund ai lab member