Edgar Trujillo work email
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Edgar Trujillo personal email
Ambitious Machine Learning Engineer with a demonstrated history of producing at a high level and excelling in a research and development-oriented role.PATENTTrujillo, E.; Camhi, J. 2020. METHOD AND SYSTEM FOR MONITORING USER ACTIVITY. U.S Patent 10,528,047, Filed January 31, 2019, and issued January 7, 2020.CERTIFICATIONSCertified Kubernetes Application Developer (CKAD)AWS Certified Developer – AssociateDEVELOPMENT SKILLSScalable end-to-end Machine Learning systemsMLOpsDevOpsAutomationCI/CDTerraformKubernetesDockerCloud Platforms(GCP,AWS, Azure)REST API design & developmentApache KafkaETL pipelines (Airflow)ML model developmentTest driven developmentPrometheus GrafanaAI/ML PROCESS/SOLUTIONS SKILLSExploratory Data AnalysisFeature EngineeringModel TrainingModel EvaluationModel PipelinesModel Integration Model DeploymentNLPDeep LearningComputer VisionImage ProcessingPattern RecognitionAI/ML FRAMEWORK/LIBRARY SKILLSPandasNumpyScikit-learnKerasXGBoostPyTorchNLTKSpacyTesseractTensorflowOpenposeYolo DarknetOpenCVCaffeSOFTWARE SKILLSPythonJavaSQLJavaScriptDATABASE SKILLSPostgreSQLMySQL Cassandra (NoSQL)MongoDB (NoSQL)Oracle DBTOOL SKILLSCode CoverageCode QualitySkaffoldJenkinsVersion Control (Git)JiraMISCELLANEOUS SKILLSProject ManagementEmbedded DevicesiOS App DevelopmentAndroid App DevelopmentIOTMQTT
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Senior Software Engineer, Machine LearningPindrop Apr 2024 - PresentAtlanta, Georgia, Us -
Senior Machine Learning EngineerBazaarvoice Feb 2021 - Apr 2024Austin, Texas, Us -
Machine Learning EngineerJpmorgan Chase & Co. Sep 2019 - Feb 2021New York, Ny, Us◦ End-to-End: Designed, productionized, and supported architectures integrated with Machine Learning models for real-time or batch execution use cases such as REST APIs, Streaming, and high-volume ETL data pipelines.◦ PII: Productionized Machine Learning research code for production-level applications with highly-sensitive data.◦ Deployment: Containerized Machine Learning solutions for automated deployment through CI/CD pipelines and optimized models to improve run time.◦ Train-Serving Skew: Implemented integration validation module to automatically validate model performance consistency, ensuring the prevention of training-serving skew by comparing the feature distributions, accuracy, recall, and AUC.◦ Delivery: Improved firm’s corporate sector processes leading to productivity savings estimated at $68 million, while reducing time to market from 90+ days to firm-leading 30 days for ML projects. -
Machine Learning Research InternSeres Apr 2018 - May 2019两江, 重庆, Cn◦ Research: Spearheaded software development for driver monitoring research focused on activity-based takeover requests during Autonomous Diving System transitions by applying computer vision and machine learning algorithms to sensor data.◦ Software: Developed the first two phases of driver activity detection software from scratch in a supervised and unsupervised Machine Learning manner and tested the performance of the driver monitoring system using statistical methods.◦ Innovation: Granted Patent on self-learning prototype for activity-based takeover requests and activity detection through reinforcement learning research during Autonomous Driving System transitions to the U.S. Patent and Trademark Office with an accuracy of 97%.◦ Model Training: Built, optimized, and evaluated various Machine Learning models used in research utilizing GPU-enabled tools such as CUDA, Keras, Darknet, OpenPose, and TensorFlow framework to develop driver support systems and improve trip safety.◦ Data Creation: Performed data collection, preprocessing, annotation, and analysis of naturalistic video data captured through the research vehicle -
It InternSeres Dec 2017 - Apr 2018两江, 重庆, Cn• Cloud: Utilized Google Cloud Vision API to parse images for automatic asset addition in SQL Database• App Development: Collaborated with coworker to develop Android & iOS app w/API & SQL Database integration• Scripting: Developed python scripts that queried SQL Asset Database and generated SQL Database Reports -
Iot Engineer InternRamp.Digital Jan 2017 - Dec 2017• IOT: Built highly scalable, fault-tolerant distributed IoT applications that run in public cloud infrastructures• App Development: Developed Android apps to simultaneously see remote sensor data sent to cloud for clients • Data Telemetry: Utilized various protocols to gather and send device/sensor data to cloud such as MQTT, BLE(bluez & android) HTTP, LoRaWAN, Modbus, S7, Serial • Hardware: Managed and integrated various SBC’s and microcontrollers into projects such as Raspberry Pi, Arduino, Intel Edison /Galileo, Atmel Development boards• Programming Languages: C/C++, NodeJS, Node-Red, Python, Java
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App Developer Of Agua PointsAgua Points Feb 2016 - Jun 2017Created iOS app as a side project that rewards users for not using their phone in support of building water wells for those in 3rd World countries in need. • Analyzed and wrote code for app • Tested app’s functionality and quality before releasing • Designed app prototype and screens • Devised solutions to problems faced in a timely manner• Languages – Swift, Objective-C, Java
Edgar Trujillo Skills
Edgar Trujillo Education Details
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Southern New Hampshire UniversityComputer Science
Frequently Asked Questions about Edgar Trujillo
What company does Edgar Trujillo work for?
Edgar Trujillo works for Pindrop
What is Edgar Trujillo's role at the current company?
Edgar Trujillo's current role is Senior MLOps Engineer @ Pindrop.
What is Edgar Trujillo's email address?
Edgar Trujillo's email address is ed****@****ors.com
What schools did Edgar Trujillo attend?
Edgar Trujillo attended Southern New Hampshire University.
What are some of Edgar Trujillo's interests?
Edgar Trujillo has interest in Education.
What skills is Edgar Trujillo known for?
Edgar Trujillo has skills like Swift, Python, Javascript, Html5, C++, Objective C, Ios Development, Css, Firebase, C, Json, Software Development.
Who are Edgar Trujillo's colleagues?
Edgar Trujillo's colleagues are Lisa Mcbride, Crystal Rochon, P. Spencer Whitehead, Lakshay Phatela, Amit Gupta, Meredith Bradley, Shawn Lavelle.
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