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| | Click here or scroll down to respond to this candidateCandidate's Name
MACHINE LEARNING ENGINEERCONTACT PROFILEPHONE NUMBER AVAILABLE I am a positive and collaborative individual with a strong enthusiasm for integratingmachine learning into various applications. With a solid foundation in data scienceEMAIL AVAILABLE and a keen interest in real-world problem-solving, I thrive in team environmentswhere innovative ideas and diverse perspectives drive success. My passion lies inleveraging machine learning to enhance efficiency, improve decision-making, andtlevietpdxcreate impactful solutions across different industries while maintaining ethical andresponsible aspects of intelligent models.Portland, OregonSOFT SKILLS WORK EXPERIENCEProblem solvingAttention to detailsMachine Learning EngineerQuick learner SoftwareOne Vietnam 2022 - 2023Team player Monthly Subscription (Time series) PredictionObjective: Create and tune two different models (DeepVAR vs. Prophet)Tech stack: SQL, Python (DeepVAR), AWS Redshift, S3Hashtag & categorization from XMLTECHNICAL SKILLS Objective: Mine existing XML files (designed workouts by human expert) toC++, Java, Javascript, Bash, SQL, Python produce hashtags and labels for clustering.Tech Stack: XML, Python (Tokenization, TF-IDF, LDA)GCP, Azure, AWSCredit card fraud detection (Big data analysis)Airflow, Kubernetes, Spark Objective: Construct ML pipelines to ensure smooth and continuouspredictions for big data chunks.Tech Stack: Azure Databricks, ResponsibleAI, Spark, Azure Blob, AzureDataLake Storage Gen2EDUCATION Bot Framework - Customized ChatGPT integrationObjective: Create and deploy chatbot powered by ChatGPT to handle queriesPortland State Universityand scenarios from both clients and internal employeesTech stack: Azure Botframework, ChatGPT API, Langchain, Vector DatabaseMaster in Computer ScienceChromaDBFall 2023 - Winter 2025 (Expected)GPA: 3.96 Research InternKatalon 2021 - 2022HCMC University of ScienceResearch on test cases generation and automate testing using Katalon app.Bachelor in Computer Science Develop state-of-the-art graph representation of AUT from existing human2018-2022 test cases.Generate and optimize test sets to save time while retaining fault coverage.GPA: 3.78 Visualize interactive graph to analyze results.Automate exploration and find new faults.INTERESTSCalisthenicsPERSONAL PROJECTLinguistics Dimensionality reduction comparisonSailing Lightweight real time hand gesture recognitionImage & Caption generator from description (GCP scalable application)Game Developmment:AWARDS 3D Unity game2D Rust gameMIT App Inventor (Community Award 2018) |