A

Anh Tuan Ta

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California, United States

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Résumé

Jobs verified_user 0% verified
  • Apple
    Senior Software & AI/ML Engineer
    Apple
    Nov 2023 - Current (2 years 7 months)
    Designed on-device AI pipelines using Python and integrated results into React + TypeScript dashboards for real-time insights across iOS applications. Built microservices architecture with FastAPI backend and Angular frontend components, enabling scalable model inference visualization across distributed systems. Developed automated model retraining pipelines using Python and integrated progress monitoring with Vue.js and Tailwind CSS dashboards. Created end-to-end ML solutions with TensorFlow models deployed via Kubernetes and visualized through React + Redux UI components for analytics teams. Built feature extraction modules in Python and connected real-time metrics to Angular dashboards with TypeScript data services for monitoring model h
  • Prove
    Staff Machine Learning Engineer
    Prove
    Jan 2023 - Nov 2023 (11 months)
    Designed risk detection ML pipelines in Python and deployed them via FastAPI microservices, processing over one million device signals daily for real-time fraud prevention. Integrated Spring Boot Java APIs with on-device ML models to deliver low-latency identity verification results, reducing average response time. Developed real-time streaming architecture with Kafka and Python to enable continuous feature ingestion and fraud signal detection at scale. Built model training automation scripts using Python and MLflow, ensuring continuous evaluation and redeployment of updated risk detection models. Collaborated with data scientists to implement feature engineering pipelines using Python and deployed trained models via AWS Lambda for real-tim
  • Amazon
    Software Engineer
    Amazon
    Jan 2020 - Dec 2022 (3 years)
    Developed backend services in Java with React frontends displaying real-time IoT event analytics from millions of Ring smart devices. Built REST APIs using Spring Boot and connected them to Vue.js admin dashboards for device health monitoring and event diagnostics. Integrated ML anomaly detection results into Angular-based visualization portals for proactive smart home risk notifications. Designed real-time IoT data pipelines in Python and displayed device metrics via React and Tailwind CSS dashboards for reliability engineers. Created microservices health monitoring tools with Java + FastAPI backends feeding data to Vue.js monitoring consoles. Implemented alert visualization widgets in Angular consuming Spring Boot APIs to display device a
  • UnifyID
    Applied Machine Learning Engineer
    UnifyID
    Apr 2019 - Jun 2020 (1 year 3 months)
    Designed behavioral biometric model APIs in Python with React-based admin dashboards displaying authentication accuracy and latency metrics. Built real-time signal analytics dashboards using Vue.js consuming FastAPI streaming APIs for behavioral biometric anomaly detection. Integrated ML pipeline monitoring with Angular interfaces for data scientists analyzing authentication model drift and retraining triggers. Created end-to-end authentication analytics portals using React + Redux with real-time fraud alerts from Python FastAPI APIs. Implemented feature engineering dashboards in Vue.js connected to Python-based ML data preprocessing pipelines for behavioral datasets. Designed risk scoring APIs with FastAPI and integrated results visualizat
  • T
    Software Developer
    Trafore Oy
    Oct 2015 - Mar 2017 (1 year 6 months)
    Built web-based taxi management system using Java Spring Boot backend with React frontend for trip scheduling, invoicing, and payroll visualization. Created real-time trip analytics dashboards usingAngular consuming Java REST APIs for passenger allocation and vehicle monitoring. Designed vehicle performance dashboards in Vue.js connected to Java-based backend services for taxi operations data analytics. Integrated live driver location tracking into React interfaces consuming Java trip data APIs for real-time dispatch optimization. Developed passenger booking management portals using Angular with Spring Boot APIs for ticketing and route scheduling automation.
  • Nokia
    R & D Engineer
    Nokia
    Oct 2015 - Mar 2017 (1 year 6 months)
    Designed predictive maintenance ML models in Python analyzing telecom network logs to detect early failure indicators across global deployments. Automated data preprocessing pipelines with Python and Spark, reducing manual preparation time for telecom datasets by 40%. Built internal AI-powered reporting tools using FastAPI and PostgreSQL enabling real-time visualization of telecom network performance metrics. Integrated anomaly detection services into Java-based monitoring platforms, delivering proactive alerts to network reliability teams worldwide. Partnered with DevOps engineers deploying Python-based ML services using Docker on Nokia's private cloud infrastructure. Conducted experiments on deep learning architectures in TensorFlow for c
Education verified_user 0% verified
  • Mississippi State University
    Master of Science in
    Mississippi State University
    Sep 2018 - May 2019 (9 months)