Edgar Trujillo Email & Phone Number

Atlanta, Georgia, Us

Austin, Texas, Us

New 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.

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

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: 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

Created 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