• Leading the R&D of machine learning projects aimed at predicting driving events, achieving 99.6% accuracy on streaming data by combining stacked recurrent neural network architectures combining with clustering algorithms.• Performed data cleaning, preprocessing, feature engineering, and hyperparameter tuning to enhance model performance.• Integrated machine learning models into production environments by developing Java applications to deploy and run trained models, handling the conversion of Keras models with custom layers to TensorFlow SavedModel format for compatibility with Java’s TensorFlow API.• Troubleshot and resolved complex technical issues, including version incompatibilities and custom layer definitions between Python and Java environments.• Enhanced trip detection systems by designing and building route detection and matching solutions using spatial analysis and sequential patterns of vehicles’ streaming locations.• Developed and maintained backend microservices, including RESTful APIs in distributed systems, leveraging databases such as MySQL, MongoDB, Redis, Timestream, and Amazon S3.• Utilized various AWS services for cloud application deployment and effective management of microservices and cloud infrastructure.• Implemented CI/CD pipelines to automate the software development and deployment process.• Collaborated in Agile environments, managing projects with Jira and Confluence.• Conducted code reviews and actively participated in team meetings to ensure code quality and promote knowledge sharing.

Research in cybersecurity-focused within PLC environment. I assessed the potential security vulnerabilities in the current PLC environment and demonstrated them by conducting cyber attacks and capturing frames.• Developed a secure client-server environment by building IoT network encryption methods with Zookeeper, Kafka, Zymkey, and MQTT• Built an elevator system algorithm to evaluate security vulnerabilities in a PLC environment using OpenPLC• Investigated SCADA protocol vulnerabilities in power grids by conducting MAC flooding attack and capturing flooded frames

Software development and testing in the robotics environment. In this job, I focused on developing applications integrated with robots, including mobile applications and embedded applications. I also worked on creating backend structures for safety status, a real-time audio bluetooth remote, and APIs in C.• Designed and implemented mobile applications to place and manage orders, track order status, and process payments integrated with robots using Android Studio, Flutter, Clover SDK, and QT• Developed C++ back-end for monitoring the safety status of boba robots• Designed and built client-server applications and backend for real-time audio bluetooth remote and docent robot integration with ESP32-Lyrat and QT Creator

Responsible for developing a video-on-demand platform for virtual conferences supporting lead web developer. I added features such as an activity logger, activity analyzer, and account management.• Developed video on-demand-platform for IEEE International Conference on Intelligent Robots and Systems 2020 using Django and MySQL• Constructed an activity logger and analyzer features to generate demographic visualizations and user statistics• Developed and deployed features for account creation and account activation

Responsible for employing Microsoft LUIS to train a language understanding service for robotics assistance at hotels in Las Vegas. I also focused on collecting and inserting the hotel's data into the database.• Trained language understanding service using Microsoft LUIS for assistant robots at hotels